( /100 pts) Total. Name: Key (TAB/DI ) Section: One staple or binder clip here.

Size: px
Start display at page:

Download "( /100 pts) Total. Name: Key (TAB/DI ) Section: One staple or binder clip here."

Transcription

1 One ale o binde cli hee. Name: Key (TAB/I.. Peon on my lef i: Peon on my igh i: xam Sing Thuday Mach (:-: in RICH, and Oienaion: You ae icly fobidden o collaboae by any mean collaboaion/cheaing F coue gade. The exam i oen book/oen noe. Rule: (no exceion Sign he Hono Code Saemen NOW! Pu you name on evey age NOW!! You mu only ie on he fon of any given age! o no ue en! You mu ue you on aigh-edge(, iangle(, encil, eae, calculao, ec. You mu u you name and numbe he hee (age you ine ino he exam. You ae emied o go o he eoom, ake a beak, have food o dink HOWVR, you mu do hi alone uden obeved alking ill be aumed o be collaboaing, and hi ill be een a an ac of cholaic dihoney, and all hoe involved ill be given an F gade fo he exam. Scholaic dihoney don' even hink abou i you do no an o kno ha ide of me. Invenoy of Poblem: ( /. Coelaion of Peohyical aa k veu φ Coelaion ( / ( / ( / ( / ( / ( / ( / ( / ( / Toal. Skin Faco eivaion. Mulile-Rae adon Te Analyi. Peue Buildu Te Analyi. Veificaion of Conan Rae Soluion fo he iffuiviy uaion. Hyebolic Cumulaive Poducion-Rae Relaion. Radial Flo Reevoi Peue iibuion. Peue iibuion in a Muliell Syem. Analyi of Mulioin Ga Well Te aa Suggeed Wok Saegy: The oblem ih he lee oin ae "eaie" you may an o a ih hee. Poblem i "aighfoad". Poblem i he mo ediou (in em of comuaion. Poblem and ae no comlicaed bu do euie conideable ok. The ay i i: Give you be effo no exceion. Neane coun moe han you hink. Kee you ok comlee and NAT. Aggie Code of Hono: An Aggie doe no lie, chea, o eal o oleae hoe ho do. Reuied Academic Inegiy Saemen: (Texa A&M Univeiy Policy on Academic Inegiy "On my hono, a an Aggie, I have neihe given no eceived unauhoized aid on hi academic ok." (you ignaue

2 xam /Poblem (Coelaion of Peohyical aa Sing Thuday Mach (:-: in RICH, and (. Coelaion of Peohyical aa k veu φ Coelaion Name: Key (TAB/I.. Given: In hi oblem you ae given he meaued emeabiliy and ooiy coe daa aken fom a andone eevoi. Samle (φ Pooiy (facion (k Pemeabiliy (md Reuied: Fi he model belo o he dominan daa end on you log-log k veu φ daa lo given on he nex age. k αφ β... ( α x (md β. (dimenionle Fi he model belo o he dominan daa end on you emi-log k veu φ daa lo given on he nex age. k α ex( β φ... ( α x - (md β (dimenionle Commen on you eul hich model efom bee fo hi cae? Why?

3 xam /Poblem (Coelaion of Peohyical aa Sing Thuday Mach (:-: in RICH, and. Coelaion of Peohyical aa k veu φ Coelaion (Coninued Name: Key (TAB/I..

4 xam /Poblem (Coelaion of Peohyical aa Sing Thuday Mach (:-: in RICH, and. Coelaion of Peohyical aa k veu φ Coelaion (Coninued Name: Key (TAB/I..

5 xam /Poblem (Skin Faco eivaion Sing Thuday Mach (:-: in RICH, and (. Skin Faco eivaion Given: You ae given acy' La in diffeenial fom fo a finie (eady-ae adial eevoi yem: (acy uni πh d k( (liuid cae B and μ ae conan Bμ d k( indicae a adial diibuion of emeabiliy. Secific o hi cae, e have: fo < < : k( α β (aleed emeabiliy fo < < e : k( k (unaleed emeabiliy Name: Key (TAB/I.. Reuied: (You mu ho all ok fo cedi a. eive an exeion fo eevoi eue ( fo he enie eevoi. b. eive an exeion fo he kin faco a a efomance/efficiency index fo hi adial eevoi yem. c. xlain he behavio of he β-aamee fo: β < (damage o imulaion? β > (damage o imulaion? Reul: a. Reevoi eue exeion: b. Skin faco exeion: Bμ ln πh αβ β β k k ln αβ β β c. β-aamee < : Simulaion cae β-aamee > : amage cae

6 Name: Key (TAB/I.. xam /Poblem (Skin Faco eivaion Sing Thuday Mach (:-: in RICH, and. Skin Faco eivaion (Coninued Pa a. Reevoi eue exeion Saing: πh d k(... ( Bμ d Reaanging: πh d d... ( k( Bμ Recalling: k( α β ; fo < < k( k; fo < < e : Inegaing., e have: πh d d... ( k( Bμ Uing he oeie of inegaion, e ill ake he inegal in he inne zone ( << and in he oue zone ( <: πh d d k( k Bμ Taking he inegal of he fi em: d... ( ( β d d... ( β ( α α Comuing he inegal e have: β ( β d α... ( α β Comleing:... ( αβ β αβ β β The inegal of. i given a: πh ln (... ( αβ β k β Bμ Finally e obain he exeion fo he eevoi eue a: Bμ ln (... ( πh αβ k β β Reaanging, e have: Bμ ln... ( πh αβ β β k

7 Name: Key (TAB/I.. xam /Poblem (Skin Faco eivaion Sing Thuday Mach (:-: in RICH,, and. Skin Faco eivaion (Coninued Pa b. Skin faco exeion β β αβ π μ h B... ( β β αβ π μ h B... ( We noe ha i he ellboe floing eue ha exi becaue of damage o imulaion and ould be he eue ha e ould acually meaue in he ell. In ode o elae he damage/imulaion cae (. ih he undamaged/unimulaed cae e ecall. and inegae beeen << : d B h d k * μ π... ( Comleing he inegaion: Bμ πh k ( ln *... ( We define * a he "baeline" (i.e., no damage/imulaion cae ellboe eue. πkh Bμ ln *... ( We define he "kin zone eue do" a: ( * Δ... ( Subiuing. and ino give: Δ β β αβ π μ h B πkh Bμ ln... ( Facoing Δ k πkh Bμ ln β β αβ... ( A a efomance/efficiency index, e define he "kin faco" a: Δ k Bμ πkh ln β β αβ... (

8 (. Mulile-Rae adon Te Analyi xam /Poblem (Mulile-Rae adon Te Analyi Sing Thuday Mach (:-: in RICH, and Name: Key (TAB/I.. Given: You ae given a vaiable-ae eue dadon daa e fo a oducing oil ell. The "ime-eue-ae" daa ae abulaed belo. Poin, N Poducing Time, (hou Poducion Rae, (STB/ Floing Peue, f (ia Nomalized Peue, i - f / (i/stb/ Sueoiion Time, u Oienaion: The geneal euaion fo anien eue behavio caued by a vaiable floae i given belo: N i f ( m' b'... ( N N Whee Bμ m'. (loe... ( kh k b' m' log.. φμc (inece... ( Theefoe, mulile-ae e daa hould aea a a aigh line (fo he infinie-acing adial flo egime hen loed a: (Nomalized eue v. Sueoiion ime: i f ( N v. N... ( N I i imoan o undeand ha he ae coeonding o each eue oin i N he la ae ha can affec he eue. Noe ha a,. Fo examle, fo N; he coeonding ueoiion ime i calculaed a: N... (

9 . Mulile-Rae adon Te Analyi (Coninued Reuied: (You mu ho all ok fo cedi xam /Poblem (Mulile-Rae adon Te Analyi Sing Thuday Mach (:-: in RICH, and Name: Key (TAB/I... You ae o comue he nomalized eue and he ueoiion ime coeonding o each oin, and hen you ae o comlee he able given on he eviou age and lo you eul on he lo given in he nex age.. You ae o eimae he emeabiliy and he kin faco uing he loe and he inece of he aigh line ha you obain fom he lo.. The euied eevoi oeie ae given belo.. Fo efeence, he lo of he floing eue ( f veu he logaihm of ime ( i ovided belo. Reevoi oeie: Oil oeie: φ.. f i ia h f B. RB/STB μ. c c x - ia - f v Plo

10 . Mulile-Rae adon Te Analyi (Coninued xam /Poblem (Mulile-Rae adon Te Analyi Sing Thuday Mach (:-: in RICH, and Woking Plo Name: Key (TAB/I..

11 Name: Key (TAB/I.. xam /Poblem (Mulile-Rae adon Te Analyi Sing Thuday Mach (:-: in RICH, and. Mulile-Rae adon Te Analyi (Coninued Soluion:.. The comuaion of he nomalized eue i aighfoad. We ill comue he ueoiion ime coeonding o each eue oin. Fo N, N N. Fo N, N N. Fo N, N N. Fo N, N N. Fo N, N N.

12 Name: Key (TAB/I.. xam /Poblem (Mulile-Rae adon Te Analyi Sing Thuday Mach (:-: in RICH, and. Mulile-Rae adon Te Analyi (Coninued Fo N, N N. Fo N, N N. Fo N, N N. Fo N, N N.

13 xam /Poblem (Mulile-Rae adon Te Analyi Sing Thuday Mach (:-: in RICH, and. Mulile-Rae adon Te Analyi (Coninued Bμ (. RB/STB(. c k.. md m' h (. i/stb/ cycle( f b'. log. m' φμ k c (. ( md log.. (. (.(. c( i (. f Name: Key (TAB/I..

14 xam /Poblem (Peue Buildu Te Analyi Sing Thuday Mach (:-: in RICH, and Name: Key (TAB/I.. (. Peue Buildu Te Analyi Inoducion: RA THIS FIRST! Thi oblem coni of a eue buildu e efomed on an oil ell afe a mulile-ae e euence. Thee ae no "ick" involved hi hould be a aighfoad analyi/ineeaion. Be ue o efom all analye and label each even and co-check/double-check you ok heneve oible. Given: Thee aached daa ee aken fom a eue buildu e efomed on an oil eevoi he eevoi i aumed o be homogeneou. Reevoi oeie: φ.. f c.x - ia - i ia h f A ace (uae eevoi Oil oeie: B. RB/STB μ. c Poducion aamee: STB/ h f (Δ. ia Reuied: Peue Buildu Analyi you ae o eimae he folloing aamee: ( Pa a Middle Time Analyi (Pemeabiliy and Skin Faco Semilog (Hone Analyi: (IARF Infinie-Acing Radial Flo Fomaion emeabiliy, k. md Skin faco,. dimenionle ( Pa c Lae Time Analyi (Aveage Reevoi Peue Caeian Analyi: (Lae Time aa "Muka-A-Smih" Mehod Aveage eevoi eue, (if alicable. ia

15 . Peue Buildu Te Analyi (Coninued aa Funcion: Peue Buildu Cae xam /Poblem (Peue Buildu Te Analyi Sing Thuday Mach (:-: in RICH, and Δ, h, ia Δ, i Name: Key (TAB/I..

16 xam /Poblem (Peue Buildu Te Analyi Sing Thuday Mach (:-: in RICH, and. Peue Buildu Te Analyi (Coninued Pa a Middle Time Analyi (Pemeabiliy and Skin Faco Semilog (Hone Analyi: (IARF Infinie-Acing Radial Flo Fomaion emeabiliy, k. md Skin faco,. dimenionle Name: Key (TAB/I.. Pemeabiliy, k: Bμ ( STB/ (. RB/STB (. c k. (.. md mlh (. i/cycle ( f Skin Faco, : (,h f Δ k. log log. m l φμc ( ia (. ia ( h. log (. i/cycle ( h. (. md log. (.(. c (.x i (. f

17 . Peue Buildu Te Analyi (Coninued Pa b Lae Time Analyi (Aveage Reevoi Peue xam /Poblem (Peue Buildu Te Analyi Sing Thuday Mach (:-: in RICH, and Caeian Analyi: (Lae Time aa "Muka-A-Smih" Mehod Aveage eevoi eue, (if alicable. ia Name: Key (TAB/I.. Muka-A-Smih Mehod: The "Muka-A-Smih" mehod i a igoou elaion ued o eimae he aveage eevoi eue duing lae-ime eue buildu (if he bounday effec ae eablihed. The fundamenal elaion given by Muka i: a ex( bδ Lae, A and Smih efomulaed he "Muka elaion" ino a loing funcion a follo: d b Δ In he cae of he "Muka-A-Smih" mehod, i loed veu d /dδ o eimae he aveage eevoi eue a he inece of he aigh line end a d /dδ. Commen:

18 Name: Key (TAB/I.. xam /Poblem (Veificaion of Conan Rae Soluion fo he iffuiviy uaion Sing Thuday Mach (:-: in RICH,, and (. Veificaion of Conan Rae Soluion fo he iffuiviy uaion Given: In hi oblem you ae o veify he exonenial inegal ( (x (i.e., he full oluion by ubiuion ino he dimenionle diffuiviy euaion. imenionle iffeenial uaion: (Homogeneou Radial Flo Syem... ( xonenial Inegal Soluion (Full Radial Flo Soluion: e e (, ex... ( e Reuied: (You mu ho all ok fo cedi You ae o "validae" he oluion (. by ubiuion i.e., you ae o ubiue. ino. (he diffuiviy ideniy and eolve he calculu and algeba ino he loe oible fom. You ae o hen commen a o he "validiy" of.. If he oluion i exac, hen he lef and igh hand-ide ill cancel uon ubiuion. Oheie, he ooed oluion i eihe an aoximaion, o i no a oluion of he diffeenial euaion. Hin: Chain Rule: fo a geneal funcion, f(z d dz d f ( z f ( z... ( dx dx dz eivaive of he xonenial Inegal Funcion: (z d ex( z ( z... ( dz z eivaive of he xonenial Funcion: ex(z d d ex( z ex( z and ex( z ex( z... ( dz dz Genealized eivaive of he Naual Logaihm Funcion: ln(z d ln ( z... ( dz z Commen: Lage e and lage aoximaion

19 Name: Key (TAB/I.. xam /Poblem (Veificaion of Conan Rae Soluion fo he iffuiviy uaion Sing Thuday Mach (:-: in RICH,, and. Veificaion of Conan Rae Soluion fo he iffuiviy uaion (Coninued Taking he deivaive of. ih eec o dimenionle ime and adiu and ubiuing: ] [ ex ] [ ex ] [ ex e e e e e e e e e... ( Uon imlificaion e have: e e e ex... ( Mulilying hough by give e e e ex... ( We ill ake he deivaive em by em: ex... ( ex ex... ( ex... ( e e ex... (

20 Name: Key (TAB/I.. xam /Poblem (Veificaion of Conan Rae Soluion fo he iffuiviy uaion Sing Thuday Mach (:-: in RICH,, and. Veificaion of Conan Rae Soluion fo he iffuiviy uaion (Coninued e e ex ex ex e... ( e e ex ex ex... ( e e ex ex ex ex e e Finally e have: ex e... ( e Ou eul imlie ha he oluion (. i an aoximaion and i only valid fo lage e and lage value.

21 xam /Poblem (Hyebolic Cumulaive Poducion-Rae Relaion Sing Thuday Mach (:-: in RICH,, and Name: Key (TAB/I.. (. Hyebolic Cumulaive Poducion-Rae Relaion Given: You ae given he "hyebolic" ae-ime elaion deived emiically fom obeved ae-ime efomance daa by eveal auho and ummaized by A in he. Hyebolic Rae Relaion: (ASSUM valid fo eudoeady-ae ga flo gi g (... ( / b [ bi ] Reuied: a. You ae o deive he cumulaive oducion elaion fo he hyebolic ae-ime elaion (i.e., uing.. The hyebolic cumulaive oducion-ime elaion (i.e., he eul fo hi cae i given a: gi ( / b G ( g ( d [ ( bi ]... ( ( b i Obviouly, you mu SHOW ALL WORK fo cedi on hi oblem. b. You ae o develo he hyebolic ae-cumulaive oducion elaion given belo hoing all ok in full deail: G ( b gi g ( gi hee G... ( G ( b i Hin: A convenien "e-caing" of. i: C g ( C B i gi [ A ] B [ A ] (hee A b ; B / b; C Pa a.: (Hyebolic cumulaive oducion-ime elaion Taking he deivaive of. : g ( gi... ( [ ] / b b i Re-caing he oblem: (Ab i ; B/b; C gi g C ( C[ A ] B... ( [ ] B A The definiion of he cumulaive ga oducion (G ( i: G ( g ( d... ( Subiuing. ino., e have: G ( C [ A ] B d... ( efining a vaiable of ubiuion: z [ A ] z( dz A z( A d... (

22 xam /Poblem (Hyebolic Cumulaive Poducion-Rae Relaion Sing Thuday Mach (:-: in RICH,, and. Hyebolic Cumulaive Poducion-Rae Relaion (Coninued Subiuing. ino. yield: Name: Key (TAB/I.. A C G ( z B dz... ( A Solving he inegaion in. give u: C A ( B G ( z... ( A ( B xanding., e have: C G ( [( (B A ]... ( A ( B Subiuing Ab i ; B/b; and C gi ino. yield: gi G ( [( (/ b bi ] bi ( / b Reducing give u: gi G ( [( (/ b bi ] i ( b And finally, e have: gi G ( [ ( ( / b bi ]... ( ( b i Pa b.: (Hyebolic ae-cumulaive oducion elaion Saing ih he hyebolic cumulaive oducion-ime elaion (i.e.,., e have: gi G ( [ ( ( / b bi ]... ( ( b i efining: gi G... ( ( b i Subiuing. ino., e have: G ( [ ( ( / b G bi ]... ( Solving fo he G (/G aio, e obain: G ( (/ b ( bi... ( G Seaaing he ( b ( / b i em, e have: (/ b / b ( b i ( b i ( b i... ( Recalling he hyebolic ae definiion (i.e.,. : g ( gi / b gi ( bi... ( [ ] / b b Reaanging. yield: i b g ( ( bi /... ( gi

23 Name: Key (TAB/I.. xam /Poblem (Hyebolic Cumulaive Poducion-Rae Relaion Sing Thuday Mach (:-: in RICH,, and. Hyebolic Cumulaive Poducion-Rae Relaion (Coninued Solving. fo (b i, e have: b gi g i b ( (... ( Subiuion of. and ino., e obain: gi g b gi g b i b ( ( ( / ( O: b gi g b i b / ( ( (... ( Subiuing of. ino. give u: b gi g G G ( (... ( Reaanging: G G b gi g ( (... ( Solving fo g (/ gi, e have: b gi g G G ( (... ( Solving fo g ( i ou final eul: i gi b gi g b G G G ( hee ( (... (

24 xam /Poblem (Radial Flo Reevoi Peue iibuion Sing Thuday Mach (:-: in RICH, and (. Radial Flo Reevoi Peue iibuion Given: Tanien Radial Flo Soluion: (ime and diance-vaian oluion Full Tanien Flo Soluion: (xonenial Inegal B c (, i. μ kh φμ k "Log Aoximaion" Tanien Flo Soluion: Bμ k (, i. ln kh φμc Seady-Sae Radial Flo Soluion: (ime invaian oluion Name: Key (TAB/I..... (... ( Bμ ( e i. ln kh... ( Peudoeady-Sae Radial Flo Soluion: (ime and diance-vaian oluion, noe ha Aπ e Bμ B e ( ( i. ln. kh... ( ( φhac e Full Radial Flo Soluion: (ime and diance-vaian oluion in dimenionle fom (, e e e ex ex... ( e e Whee he definiion fo he dimenionle vaiable ae: kh ( i...(...(. Bμ e e... ( k. φμc... ( Reuied: (You mu ho all ok fo cedi. eive he "adiu of inveigaion" conce uing he "log aoximaion" oluion.. eive he ime,, o eady-ae fo a bounded cicula eevoi uing he "adiu of inveigaion" fomula. (Hin: Thi eul ill be a geneal exeion in em of φ, μ, k, c, and e.. eive he ime,, o eudoeady-ae fo a bounded cicula eevoi. (Hin: Thi eul ill be a geneal exeion in em of φ, μ, k, c, and e.. You ae o calculae he eue ofile a h uing. and lo hee eue on he aached lo. The eevoi oeie ae given on he nex age. (f (, h (ia......

25 xam /Poblem (Radial Flo Reevoi Peue iibuion Sing Thuday Mach (:-: in RICH, and. Radial Flo Reevoi Peue iibuion (Coninued Hin: Name: Key (TAB/I... The definiion of eudoeady-ae flo condiion fo a ell ceneed in a ymmeically-haed eevoi i given by: df df... ( d anien d. Fo x<., ue he logaihmic aoximaion fo he exonenial inegal oluion: ( x ln ( e γ.... ( e γ x. Fo x>., (x Reevoi oeie: φ.. f i ia k md h f e f Oil oeie: B. RB/STB μ. c c.x - ia - Poducion aamee: STB/ Woking Plo

26 xam /Poblem (Radial Flo Reevoi Peue iibuion Sing Thuday Mach (:-: in RICH, and. Radial Flo Reevoi Peue iibuion (Coninued -i(-x Table fom Lee Tex ( [noe ha (x-i(-x] Name: Key (TAB/I..

27 xam /Poblem (Radial Flo Reevoi Peue iibuion Sing Thuday Mach (:-: in RICH, and. Radial Flo Reevoi Peue iibuion (Coninued Soluion:. eive he "adiu of inveigaion" conce uing he "log aoximaion" oluion. inv i he adial diance comued hen i e o i uing he log aoximaion oluion. Bμ. ln kh ln k φμc xoneniaing k φμc k φμc Name: Key (TAB/I..... (... (... ( o k... ( φμc o k inv... ( φμc. eive he ime,, o eady-ae fo a bounded cicula eevoi uing he "adiu of inveigaion" fomula. Solving fo he ime a hich inv e give he ime o "eady-ae" k e... ( φμc k e... ( φμc φμc e... ( k. eive he ime,, o eudoeady-ae fo a bounded cicula eevoi. Taking he ime deivaive of. df d Bμ d k Bμ d [ i ]. ln. [ln[ ]]... ( d d kh d kh d anien φμc o d f Bμ.... ( d kh anien Taking he ime deivaive of. d f d Bμ d ( B d [ ]. ln e i. [ ] d d kh d... ( ( hac d e φ

28 xam /Poblem (Radial Flo Reevoi Peue iibuion Sing Thuday Mach (:-: in RICH, and. Radial Flo Reevoi Peue iibuion (Coninued O: df B. d φhac Subiuing. and ino., e obain Name: Key (TAB/I..... ( Bμ B..... ( kh φhac Solving fo ( give. φμc A... (. k O ince Aπ e c. φμ e π... (. k finally φμc e... ( k. You ae o calculae he folloing eue a he ecibed ime uing. and lo hee eue on he aached lo. Luming em in he dimenionle aamee e have a( i... ( kh ( md( f a.... (. Bμ. ( STB/(. RB/STB(. c. ( i... ( hee... ( ( f e e... ( (.f b... ( k ( md b ( φμc (.(. c(.x i (.f.... ( Ineing,,, and ino. e have ( (. ( i (. (.... ( (. ( ( ( ex ex ( (. ( (.

29 xam /Poblem (Radial Flo Reevoi Peue iibuion Sing Thuday Mach (:-: in RICH, and. Radial Flo Reevoi Peue iibuion (Coninued Simlifying. e obain he geneal elaion fo hi oblem a. ( i. Name: Key (TAB/I.. ex.x... ( ex Fo hou, e have. ( i. ex.... ( x ex ( ( ( (. ( i [ ] [ ]. ex[ ]. x ex[ ] A ex[-], e can neglec he la o em in he euaion given above. Fo. f [ (. ] [ (. ]. ( i i ln e γ. ia Fo f, (x>., (x. ( i i. ia [.] /....(a... (b...(c [ ( ] o. ( i ln γ...(a e [.] /. Fo f, (x>., (x :. ( i i... (b...(c [ ( ] [.] /....(a... (b. ia...(c

30 xam /Poblem (Radial Flo Reevoi Peue iibuion Sing Thuday Mach (:-: in RICH, and. Radial Flo Reevoi Peue iibuion (Coninued Fo f, (x>., (x :. ( i i. ia [ ( ] [.] /. Fo f, (x>., (x :. ( i Name: Key (TAB/I.....(a... (b...(c [ ( ]...(a i... (b ia...(c (f (, h (ia......

31 xam /Poblem (Peue iibuion in a Muliell Syem Sing Thuday Mach (:-: in RICH, and (. Peue iibuion in a Muliell Syem Given: You ae given he folloing configuaion of ell. (noe: OA OC f, OB O f Name: Key (TAB/I.. Reuied: (You mu ho all ok fo cedi a. The eue a he obevaion ell fo h, h, h, h. b. The ime a hich he eue do in he obevaion ell i. i. Reevoi oeie: φ.. f i ia k md h f Oil oeie: B o. RB/STB μ o. c c x - ia - Poducion aamee: Well A: A STB/ (oducion A oa f Well B: B STB/ (oducion B ob f Well C: C STB/ (inecion C oc f Well : STB/ (inecion o f Hin:. You hould aume infinie-acing homogeneou eevoi behavio (i.e., he adial flo oluion.. You mu ue he exonenial inegal fom of he oluion (i.e., he (x fomulaion do NOT ue he logaihmic aoximaion.. Fo a b: You ill obain he oluion u o one decimal oin by ial and eo. Ty ime value beeen and hou. Reul: a. The eue a he obevaion ell fo h:. ia The eue a he obevaion ell fo h:. ia The eue a he obevaion ell fo h:. ia The eue a he obevaion ell fo h:. ia b. The ime a hich he eue do in he obevaion ell i. i:. h

32 xam /Poblem (Peue iibuion in a Muliell Syem Sing Thuday Mach (:-: in RICH, and. Peue iibuion in a Muliell Syem (Coninued -i(-x Table fom Lee Tex ( [noe ha (x-i(-x] Name: Key (TAB/I..

33 xam /Poblem (Peue iibuion in a Muliell Syem Sing Thuday Mach (:-: in RICH, and. Peue iibuion in a Muliell Syem (Coninued a. The eue a he oduce ell fo h. To begin, e define he oal eue change a he um of he eue change in all of he ell: Δ ΔoA ΔoB ΔoC Δo Subiuing he aoiae eue change model (i.e., he (x oluion, e have: Bμ φμc B c Δ oa μ φμ ob i o. A. B kh k kh k B μ φμc B c oc μ φμ. o C. kh k kh k Collecing conan em, e obain: Δ c oa c ob c oc c o A α B α C α α Whee: Bμ (. RB/STB (. c c...x kh ( md ( f φμc - (. (. c (.x i α x k ( md Subiuing he value of c and α, e obain: Δ (.x ( STB/ (.x ( STB/ ( f (x ( f (x ( f (.x ( STB/ (x x x ( f (. ( STB/ ( Which educe o he folloing geneal eul (in ime fo hi cae: Δ.... Δ.. Comuing he eue do a he obevaion ell a h: Δ.. ( h [.]. [.] ( h Δ. Uing he -i(-x able (ecall ha (x-i(-x, e have: Δ (. (.. (.. i Theefoe, he eue a he obevaion ell fo h i o.. ia Name: Key (TAB/I..

34 xam /Poblem (Peue iibuion in a Muliell Syem Sing Thuday Mach (:-: in RICH, and. Peue iibuion in a Muliell Syem (Coninued Comuing he eue do a he obevaion ell a h: Δ.. ( h ( h [.]. [.] Δ. Uing he -i(-x able (ecall ha (x-i(-x, e have: Δ (. (.. (.. i Theefoe, he eue a he obevaion ell fo h i: o.. ia Similaly, he eue a he obevaion ell fo h h ae o.. ia ( h o.. ia ( h Name: Key (TAB/I.. b. The ime a hich he eue do in he obevaion ell i. i. Thi i faily aighfoad, e ue he eul fom a a, and "evee calculae" he ime fo a given eue change. In hi cae, he eue change i. i. Ou eviou eul i given by: Δ...b. xac Soluion Fo hou e have: (eul of a a. Δ... i Fo hou e have: Δ... i Fo hou e have: Δ... i Fo. hou e have: Δ... i.. Fo. hou e have: Δ... i.. Fo. hou e have: Δ... i..

35 xam /Poblem (Peue iibuion in a Muliell Syem Sing Thuday Mach (:-: in RICH, and. Peue iibuion in a Muliell Syem (Coninued.b. Aoximae Soluion (- oin Seing he eue change o. i, e have: Δ... i Uing he "log aoximaion" of he xonenial Inegal oluion: ln ln. e γ e γ Poeie of he logaihm can be ued o imlify he above euaion: ln. e γ e γ Fuhe imlificaion yield: e. e γ e γ Solving fo, e obain e. e γ e γ (hee γ.. h (diffeen han he eviou eul, obviouly no coec ule' conan Name: Key (TAB/I..

36 xam /Poblem (Analyi of Mulioin Ga Well Te aa Sing Thuday Mach (:-: in RICH, and Name: Key (TAB/I.. (. Analyi of Mulioin Ga Well Te aa Given: In hi oblem you ae given he ell efomance daa (aveage eevoi eue, floing boomhole eue, and ga floae fo a oducing ga ell. The obecive i o eablih a "deliveabiliy" elaion and an inflo efomance elaion (o IPR fo hee daa, and comae he eul ediced fom hee elaion in hi cae, he maximum heoeical ga floae ( g, max. Mulioin Well Te aa: Gazom Ikuk- Ga Well (Ruia Poin (ia f (ia g (MSCF Reuied: (You mu ho all ok fo cedi a. eliveabiliy Analyi: Uing he elaion belo (i.e.,. and he lo ovided on he nex age, you ae o eimae α, β, and g, max hee g, max i an exaolaed value eimaed hen f. ia (i.e., amoheic eue. Fo hi cae you can aume f ia fo imliciy. ( β ( α β f f g g... ( α Whee α and β ae he inece and loe of he ( f veu g lo, eecively. α (inece:. ia β (loe:. dimenionle g, max :, MSCF b. Modified IPR Analyi: Uing he elaion belo (i.e.,. and he lo ovided on he nex age, you ae o eimae ν g and g, max hee g, max i an exaolaed value eimaed hen f. ia (i.e., amoheic eue. Fo hi cae you can aume f ia fo imliciy. f a g bg... ( Whee a and b ae he inece and loe fom a lo of a (inece:.- /MSCF b (loe:.- (/MSCF f veu g lo, eecively. g g, max :, MSCF (olved a a uadaic oo of.

37 xam /Poblem (Analyi of Mulioin Ga Well Te aa Sing Thuday Mach (:-: in RICH, and. Analyi of Mulioin Ga Well Te aa (Coninued a. eliveabiliy Analyi: Name: Key (TAB/I.. b. Modified IPR Analyi:

Pseudosteady-State Flow Relations for a Radial System from Department of Petroleum Engineering Course Notes (1997)

Pseudosteady-State Flow Relations for a Radial System from Department of Petroleum Engineering Course Notes (1997) Pseudoseady-Sae Flow Relaions fo a Radial Sysem fom Deamen of Peoleum Engineeing Couse Noes (1997) (Deivaion of he Pseudoseady-Sae Flow Relaions fo a Radial Sysem) (Deivaion of he Pseudoseady-Sae Flow

More information

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes]

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes] ENGI 44 Avance alculus fo Engineeing Faculy of Engineeing an Applie cience Poblem e 9 oluions [Theoems of Gauss an okes]. A fla aea A is boune by he iangle whose veices ae he poins P(,, ), Q(,, ) an R(,,

More information

7 Wave Equation in Higher Dimensions

7 Wave Equation in Higher Dimensions 7 Wave Equaion in Highe Dimensions We now conside he iniial-value poblem fo he wave equaion in n dimensions, u c u x R n u(x, φ(x u (x, ψ(x whee u n i u x i x i. (7. 7. Mehod of Spheical Means Ref: Evans,

More information

AB for hydrogen in steel is What is the molar flux of the hydrogen through the steel? Δx Wall. s kmole

AB for hydrogen in steel is What is the molar flux of the hydrogen through the steel? Δx Wall. s kmole ignen 6 Soluion - Hydogen ga i oed a high peue in a ecangula conaine (--hick wall). Hydogen concenaion a he inide wall i kole / and eenially negligible on he ouide wall. The B fo hydogen in eel i.6 / ec

More information

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard Complex Analysis R.G. Halbud R.Halbud@ucl.ac.uk Depamen of Mahemaics Univesiy College London 202 The shoes pah beween wo uhs in he eal domain passes hough he complex domain. J. Hadamad Chape The fis fundamenal

More information

The sudden release of a large amount of energy E into a background fluid of density

The sudden release of a large amount of energy E into a background fluid of density 10 Poin explosion The sudden elease of a lage amoun of enegy E ino a backgound fluid of densiy ceaes a song explosion, chaaceized by a song shock wave (a blas wave ) emanaing fom he poin whee he enegy

More information

General Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security

General Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security 1 Geneal Non-Abiage Model I. Paial Diffeenial Equaion fo Picing A. aded Undelying Secuiy 1. Dynamics of he Asse Given by: a. ds = µ (S, )d + σ (S, )dz b. he asse can be eihe a sock, o a cuency, an index,

More information

Algorithms and Data Structures 2011/12 Week 9 Solutions (Tues 15th - Fri 18th Nov)

Algorithms and Data Structures 2011/12 Week 9 Solutions (Tues 15th - Fri 18th Nov) Algorihm and Daa Srucure 2011/ Week Soluion (Tue 15h - Fri 18h No) 1. Queion: e are gien 11/16 / 15/20 8/13 0/ 1/ / 11/1 / / To queion: (a) Find a pair of ube X, Y V uch ha f(x, Y) = f(v X, Y). (b) Find

More information

Skin Effect and Formation Damage

Skin Effect and Formation Damage Well Stimulation and Sand Poduction Management (PGE 489 ) Sin Effect and Fomation Damage By D. Moammed A. Kami 02-02-2016 Sin Facto A fomation damage model i a dynamic elationip expeing te fluid tanpot

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 31 Signal & Syem Prof. Mark Fowler Noe Se #27 C-T Syem: Laplace Tranform Power Tool for yem analyi Reading Aignmen: Secion 6.1 6.3 of Kamen and Heck 1/18 Coure Flow Diagram The arrow here how concepual

More information

Support Vector Machines

Support Vector Machines Suppo Veco Machine CSL 3 ARIFICIAL INELLIGENCE SPRING 4 Suppo Veco Machine O, Kenel Machine Diciminan-baed mehod olean cla boundaie Suppo veco coni of eample cloe o bounday Kenel compue imilaiy beeen eample

More information

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations Today - Lecue 13 Today s lecue coninue wih oaions, oque, Noe ha chapes 11, 1, 13 all inole oaions slide 1 eiew Roaions Chapes 11 & 1 Viewed fom aboe (+z) Roaional, o angula elociy, gies angenial elociy

More information

Molecular Evolution and Phylogeny. Based on: Durbin et al Chapter 8

Molecular Evolution and Phylogeny. Based on: Durbin et al Chapter 8 Molecula Evoluion and hylogeny Baed on: Dubin e al Chape 8. hylogeneic Tee umpion banch inenal node leaf Topology T : bifucaing Leave - N Inenal node N+ N- Lengh { i } fo each banch hylogeneic ee Topology

More information

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay)

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay) Secions 3.1 and 3.4 Eponenial Funcions (Gowh and Decay) Chape 3. Secions 1 and 4 Page 1 of 5 Wha Would You Rahe Have... $1million, o double you money evey day fo 31 days saing wih 1cen? Day Cens Day Cens

More information

PHYS GENERAL RELATIVITY AND COSMOLOGY PROBLEM SET 7 - SOLUTIONS

PHYS GENERAL RELATIVITY AND COSMOLOGY PROBLEM SET 7 - SOLUTIONS PHYS 54 - GENERAL RELATIVITY AND COSMOLOGY - 07 - PROBLEM SET 7 - SOLUTIONS TA: Jeome Quinin Mach, 07 Noe ha houghou hee oluion, we wok in uni whee c, and we chooe he meic ignaue (,,, ) a ou convenion..

More information

Representing Knowledge. CS 188: Artificial Intelligence Fall Properties of BNs. Independence? Reachability (the Bayes Ball) Example

Representing Knowledge. CS 188: Artificial Intelligence Fall Properties of BNs. Independence? Reachability (the Bayes Ball) Example C 188: Aificial Inelligence Fall 2007 epesening Knowledge ecue 17: ayes Nes III 10/25/2007 an Klein UC ekeley Popeies of Ns Independence? ayes nes: pecify complex join disibuions using simple local condiional

More information

FINITE DIFFERENCE APPROACH TO WAVE GUIDE MODES COMPUTATION

FINITE DIFFERENCE APPROACH TO WAVE GUIDE MODES COMPUTATION FINITE DIFFERENCE ROCH TO WVE GUIDE MODES COMUTTION Ing.lessando Fani Elecomagneic Gou Deamen of Elecical and Eleconic Engineeing Univesiy of Cagliai iazza d mi, 93 Cagliai, Ialy SUMMRY Inoducion Finie

More information

Exponential Sawtooth

Exponential Sawtooth ECPE 36 HOMEWORK 3: PROPERTIES OF THE FOURIER TRANSFORM SOLUTION. Exponenial Sawooh: The eaie way o do hi problem i o look a he Fourier ranform of a ingle exponenial funcion, () = exp( )u(). From he able

More information

AN ANALYTICAL METHOD OF SOLUTION FOR SYSTEMS OF BOOLEAN EQUATIONS

AN ANALYTICAL METHOD OF SOLUTION FOR SYSTEMS OF BOOLEAN EQUATIONS CHAPTER 5 AN ANALYTICAL METHOD OF SOLUTION FOR SYSTEMS OF BOOLEAN EQUATIONS 51 APPLICATIONS OF DE MORGAN S LAWS A we have een in Secion 44 of Chaer 4, any Boolean Equaion of ye (1), (2) or (3) could be

More information

Addition & Subtraction of Polynomials

Addition & Subtraction of Polynomials Addiion & Sucion of Polynomil Addiion of Polynomil: Adding wo o moe olynomil i imly me of dding like em. The following ocedue hould e ued o dd olynomil 1. Remove enhee if hee e enhee. Add imil em. Wie

More information

Time-Space Model of Business Fluctuations

Time-Space Model of Business Fluctuations Time-Sace Moel of Business Flucuaions Aleei Kouglov*, Mahemaical Cene 9 Cown Hill Place, Suie 3, Eobicoke, Onaio M8Y 4C5, Canaa Email: Aleei.Kouglov@SiconVieo.com * This aicle eesens he esonal view of

More information

r P + '% 2 r v(r) End pressures P 1 (high) and P 2 (low) P 1 , which must be independent of z, so # dz dz = P 2 " P 1 = " #P L L,

r P + '% 2 r v(r) End pressures P 1 (high) and P 2 (low) P 1 , which must be independent of z, so # dz dz = P 2  P 1 =  #P L L, Lecue 36 Pipe Flow and Low-eynolds numbe hydodynamics 36.1 eading fo Lecues 34-35: PKT Chape 12. Will y fo Monday?: new daa shee and daf fomula shee fo final exam. Ou saing poin fo hydodynamics ae wo equaions:

More information

Reinforcement learning

Reinforcement learning Lecue 3 Reinfocemen leaning Milos Hauskech milos@cs.pi.edu 539 Senno Squae Reinfocemen leaning We wan o lean he conol policy: : X A We see examples of x (bu oupus a ae no given) Insead of a we ge a feedback

More information

Basic propositional and. The fundamentals of deduction

Basic propositional and. The fundamentals of deduction Baic ooitional and edicate logic The fundamental of deduction 1 Logic and it alication Logic i the tudy of the atten of deduction Logic lay two main ole in comutation: Modeling : logical entence ae the

More information

Chapter Finite Difference Method for Ordinary Differential Equations

Chapter Finite Difference Method for Ordinary Differential Equations Chape 8.7 Finie Diffeence Mehod fo Odinay Diffeenial Eqaions Afe eading his chape, yo shold be able o. Undesand wha he finie diffeence mehod is and how o se i o solve poblems. Wha is he finie diffeence

More information

Chapter 7: Inverse-Response Systems

Chapter 7: Inverse-Response Systems Chaper 7: Invere-Repone Syem Normal Syem Invere-Repone Syem Baic Sar ou in he wrong direcion End up in he original eady-ae gain value Two or more yem wih differen magniude and cale in parallel Main yem

More information

A GEOMETRIC BROWNIAN MOTION MODEL WITH COMPOUND POISSON PROCESS AND FRACTIONAL STOCHASTIC VOLATILITY

A GEOMETRIC BROWNIAN MOTION MODEL WITH COMPOUND POISSON PROCESS AND FRACTIONAL STOCHASTIC VOLATILITY Adance and Alicaion in Saiic Volume 6, Numbe,, Page 5-47 Thi ae i aailable online a h://hmj.com/jounal/ada.hm Puha Publihing Houe A GEOMETRIC ROWNIAN MOTION MODEL WITH COMPOUND POISSON PROCESS AND FRACTIONAL

More information

6.8 Laplace Transform: General Formulas

6.8 Laplace Transform: General Formulas 48 HAP. 6 Laplace Tranform 6.8 Laplace Tranform: General Formula Formula Name, ommen Sec. F() l{ f ()} e f () d f () l {F()} Definiion of Tranform Invere Tranform 6. l{af () bg()} al{f ()} bl{g()} Lineariy

More information

u(t) Figure 1. Open loop control system

u(t) Figure 1. Open loop control system Open loop conrol v cloed loop feedbac conrol The nex wo figure preen he rucure of open loop and feedbac conrol yem Figure how an open loop conrol yem whoe funcion i o caue he oupu y o follow he reference

More information

The Production of Polarization

The Production of Polarization Physics 36: Waves Lecue 13 3/31/211 The Poducion of Polaizaion Today we will alk abou he poducion of polaized ligh. We aleady inoduced he concep of he polaizaion of ligh, a ansvese EM wave. To biefly eview

More information

Lecture-V Stochastic Processes and the Basic Term-Structure Equation 1 Stochastic Processes Any variable whose value changes over time in an uncertain

Lecture-V Stochastic Processes and the Basic Term-Structure Equation 1 Stochastic Processes Any variable whose value changes over time in an uncertain Lecue-V Sochasic Pocesses and he Basic Tem-Sucue Equaion 1 Sochasic Pocesses Any vaiable whose value changes ove ime in an unceain way is called a Sochasic Pocess. Sochasic Pocesses can be classied as

More information

Department of Chemical Engineering University of Tennessee Prof. David Keffer. Course Lecture Notes SIXTEEN

Department of Chemical Engineering University of Tennessee Prof. David Keffer. Course Lecture Notes SIXTEEN D. Keffe - ChE 40: Hea Tansfe and Fluid Flow Deamen of Chemical Enee Uniesi of Tennessee Pof. Daid Keffe Couse Lecue Noes SIXTEEN SECTION.6 DIFFERENTIL EQUTIONS OF CONTINUITY SECTION.7 DIFFERENTIL EQUTIONS

More information

Laplace Transform. Inverse Laplace Transform. e st f(t)dt. (2)

Laplace Transform. Inverse Laplace Transform. e st f(t)dt. (2) Laplace Tranform Maoud Malek The Laplace ranform i an inegral ranform named in honor of mahemaician and aronomer Pierre-Simon Laplace, who ued he ranform in hi work on probabiliy heory. I i a powerful

More information

ÖRNEK 1: THE LINEAR IMPULSE-MOMENTUM RELATION Calculate the linear momentum of a particle of mass m=10 kg which has a. kg m s

ÖRNEK 1: THE LINEAR IMPULSE-MOMENTUM RELATION Calculate the linear momentum of a particle of mass m=10 kg which has a. kg m s MÜHENDİSLİK MEKANİĞİ. HAFTA İMPULS- MMENTUM-ÇARPIŞMA Linea oenu of a paicle: The sybol L denoes he linea oenu and is defined as he ass ies he elociy of a paicle. L ÖRNEK : THE LINEAR IMPULSE-MMENTUM RELATIN

More information

* l/d > 5 and H/D = 1 Mass term of Morison dominates

* l/d > 5 and H/D = 1 Mass term of Morison dominates 1 3.6 LOADS Source and conequence of non-lineariie Sinuoidal wave and ylinder rucure: η =H/ in z λ H d x * l/d > 5 and H/D = 1 Ma erm of Morion dominae * linear wave eory: D fz;x= =.5 π c m D H/ gk co

More information

Continuous Time Markov Chain (Markov Process)

Continuous Time Markov Chain (Markov Process) Coninuous Time Markov Chain (Markov Process) The sae sace is a se of all non-negaive inegers The sysem can change is sae a any ime ( ) denoes he sae of he sysem a ime The random rocess ( ) forms a coninuous-ime

More information

Tom BLASINGAME Texas A&M U. Slide 1

Tom BLASINGAME Texas A&M U. Slide 1 Petoleum Engineeing 60 Fluid Flow in Petoleum Resevois Fundamental Flow Lectue 4 Pseudosteady-State Flow in a Cicula Resevoi Slide 1 Petoleum Engineeing 60 Fluid Flow in Petoleum Resevois Fundamental Flow

More information

Randomized Perfect Bipartite Matching

Randomized Perfect Bipartite Matching Inenive Algorihm Lecure 24 Randomized Perfec Biparie Maching Lecurer: Daniel A. Spielman April 9, 208 24. Inroducion We explain a randomized algorihm by Ahih Goel, Michael Kapralov and Sanjeev Khanna for

More information

CS 188: Artificial Intelligence Fall Probabilistic Models

CS 188: Artificial Intelligence Fall Probabilistic Models CS 188: Aificial Inelligence Fall 2007 Lecue 15: Bayes Nes 10/18/2007 Dan Klein UC Bekeley Pobabilisic Models A pobabilisic model is a join disibuion ove a se of vaiables Given a join disibuion, we can

More information

Petroleum Engineering 324 Well Performance Daily Summary Sheet Spring 2009 Blasingame/Ilk. Date: Materials Covered in Class Today: Comment(s):

Petroleum Engineering 324 Well Performance Daily Summary Sheet Spring 2009 Blasingame/Ilk. Date: Materials Covered in Class Today: Comment(s): Petroleum Engineering 324 Well Performance Daily Summary Sheet Sring 2009 Blasingame/Ilk Date: Materials Covered in Class Today: Comment(s): Pressure Transient Analysis Pressure Buildu Test Analysis Lee

More information

Macroeconomics 1. Ali Shourideh. Final Exam

Macroeconomics 1. Ali Shourideh. Final Exam 4780 - Macroeconomic 1 Ali Shourideh Final Exam Problem 1. A Model of On-he-Job Search Conider he following verion of he McCall earch model ha allow for on-he-job-earch. In paricular, uppoe ha ime i coninuou

More information

Lecture 17: Kinetics of Phase Growth in a Two-component System:

Lecture 17: Kinetics of Phase Growth in a Two-component System: Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien

More information

MEEN 617 Handout #11 MODAL ANALYSIS OF MDOF Systems with VISCOUS DAMPING

MEEN 617 Handout #11 MODAL ANALYSIS OF MDOF Systems with VISCOUS DAMPING MEEN 67 Handou # MODAL ANALYSIS OF MDOF Sysems wih VISCOS DAMPING ^ Symmeic Moion of a n-dof linea sysem is descibed by he second ode diffeenial equaions M+C+K=F whee () and F () ae n ows vecos of displacemens

More information

PET467E-Analysis of Well Pressure Tests/2008 Spring Semester/İTÜ Midterm Examination (Duration 3:00 hours) Solutions

PET467E-Analysis of Well Pressure Tests/2008 Spring Semester/İTÜ Midterm Examination (Duration 3:00 hours) Solutions M. Onur 03.04.008 PET467E-Analysis of Well Pressure Tess/008 Spring Semeser/İTÜ Miderm Examinaion (Duraion 3:00 hours) Soluions Name of he Suden: Insrucions: Before saring he exam, wrie your name clearly

More information

MATHEMATICS PAPER 121/2 K.C.S.E QUESTIONS SECTION 1 ( 52 MARKS) 3. Simplify as far as possible, leaving your answer in the form of surd

MATHEMATICS PAPER 121/2 K.C.S.E QUESTIONS SECTION 1 ( 52 MARKS) 3. Simplify as far as possible, leaving your answer in the form of surd f MATHEMATICS PAPER 2/2 K.C.S.E. 998 QUESTIONS CTION ( 52 MARKS) Answe he enie queion in his cion /5. U logaihms o evaluae 55.9 (262.77) e F 2. Simplify he epeson - 2 + 3 Hence solve he equaion - - 2 +

More information

Stress Analysis of Infinite Plate with Elliptical Hole

Stress Analysis of Infinite Plate with Elliptical Hole Sess Analysis of Infinie Plae ih Ellipical Hole Mohansing R Padeshi*, D. P. K. Shaa* * ( P.G.Suden, Depaen of Mechanical Engg, NRI s Insiue of Infoaion Science & Technology, Bhopal, India) * ( Head of,

More information

Control Volume Derivation

Control Volume Derivation School of eospace Engineeing Conol Volume -1 Copyigh 1 by Jey M. Seizman. ll ighs esee. Conol Volume Deiaion How o cone ou elaionships fo a close sysem (conol mass) o an open sysem (conol olume) Fo mass

More information

Estimation and Confidence Intervals: Additional Topics

Estimation and Confidence Intervals: Additional Topics Chapte 8 Etimation and Confidence Inteval: Additional Topic Thi chapte imply follow the method in Chapte 7 fo foming confidence inteval The text i a bit dioganized hee o hopefully we can implify Etimation:

More information

( ) exp i ω b ( ) [ III-1 ] exp( i ω ab. exp( i ω ba

( ) exp i ω b ( ) [ III-1 ] exp( i ω ab. exp( i ω ba THE INTEACTION OF ADIATION AND MATTE: SEMICLASSICAL THEOY PAGE 26 III. EVIEW OF BASIC QUANTUM MECHANICS : TWO -LEVEL QUANTUM SYSTEMS : The lieaue of quanum opics and lase specoscop abounds wih discussions

More information

On Control Problem Described by Infinite System of First-Order Differential Equations

On Control Problem Described by Infinite System of First-Order Differential Equations Ausalian Jounal of Basic and Applied Sciences 5(): 736-74 ISS 99-878 On Conol Poblem Descibed by Infinie Sysem of Fis-Ode Diffeenial Equaions Gafujan Ibagimov and Abbas Badaaya J'afau Insiue fo Mahemaical

More information

Modeling and Simulation of Position Estimation of Switched Reluctance Motor with Artificial Neural Networks

Modeling and Simulation of Position Estimation of Switched Reluctance Motor with Artificial Neural Networks Wold Academy of Science, Engineeing and Technology 57 9 Modeling and Simulaion of Poiion Eimaion of Swiched Relucance Moo wih Aificial Neual Newok Oguz Uun, and Edal Bekioglu Abac In he een udy, oiion

More information

The Production of Well-Being: Conventional Goods, Relational Goods and Status Goods

The Production of Well-Being: Conventional Goods, Relational Goods and Status Goods The Poducion of Well-Bein: Convenional Good, Relaional Good and Sau Good Aloy Pinz Iniue of Public Economic II Univeiy of Müne, Gemany New Diecion in Welfae II, OECD Pai July 06 08, 2011 Conen 1. Inoducion

More information

The Global Trade and Environment Model: GTEM

The Global Trade and Environment Model: GTEM The Global Tade and Envionmen Model: A pojecion of non-seady sae daa using Ineempoal GTEM Hom Pan, Vivek Tulpulé and Bian S. Fishe Ausalian Bueau of Agiculual and Resouce Economics OBJECTIVES Deive an

More information

EE202 Circuit Theory II

EE202 Circuit Theory II EE202 Circui Theory II 2017-2018, Spring Dr. Yılmaz KALKAN I. Inroducion & eview of Fir Order Circui (Chaper 7 of Nilon - 3 Hr. Inroducion, C and L Circui, Naural and Sep epone of Serie and Parallel L/C

More information

To become more mathematically correct, Circuit equations are Algebraic Differential equations. from KVL, KCL from the constitutive relationship

To become more mathematically correct, Circuit equations are Algebraic Differential equations. from KVL, KCL from the constitutive relationship Laplace Tranform (Lin & DeCarlo: Ch 3) ENSC30 Elecric Circui II The Laplace ranform i an inegral ranformaion. I ranform: f ( ) F( ) ime variable complex variable From Euler > Lagrange > Laplace. Hence,

More information

Single Phase Line Frequency Uncontrolled Rectifiers

Single Phase Line Frequency Uncontrolled Rectifiers Single Phae Line Frequency Unconrolle Recifier Kevin Gaughan 24-Nov-03 Single Phae Unconrolle Recifier 1 Topic Baic operaion an Waveform (nucive Loa) Power Facor Calculaion Supply curren Harmonic an Th

More information

Feedback Couplings in Chemical Reactions

Feedback Couplings in Chemical Reactions Feedback Coulings in Chemical Reacions Knud Zabocki, Seffen Time DPG Fühjahsagung Regensbug Conen Inoducion Moivaion Geneal model Reacion limied models Diffusion wih memoy Oen Quesion and Summay DPG Fühjahsagung

More information

Exponential and Logarithmic Equations and Properties of Logarithms. Properties. Properties. log. Exponential. Logarithmic.

Exponential and Logarithmic Equations and Properties of Logarithms. Properties. Properties. log. Exponential. Logarithmic. Eponenial and Logaihmic Equaions and Popeies of Logaihms Popeies Eponenial a a s = a +s a /a s = a -s (a ) s = a s a b = (ab) Logaihmic log s = log + logs log/s = log - logs log s = s log log a b = loga

More information

6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson

6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson 6.32 Feedback Syem Phae-locked loop are a foundaional building block for analog circui deign, paricularly for communicaion circui. They provide a good example yem for hi cla becaue hey are an excellen

More information

Then the number of elements of S of weight n is exactly the number of compositions of n into k parts.

Then the number of elements of S of weight n is exactly the number of compositions of n into k parts. Geneating Function In a geneal combinatoial poblem, we have a univee S of object, and we want to count the numbe of object with a cetain popety. Fo example, if S i the et of all gaph, we might want to

More information

Two-dimensional Effects on the CSR Interaction Forces for an Energy-Chirped Bunch. Rui Li, J. Bisognano, R. Legg, and R. Bosch

Two-dimensional Effects on the CSR Interaction Forces for an Energy-Chirped Bunch. Rui Li, J. Bisognano, R. Legg, and R. Bosch Two-dimensional Effecs on he CS Ineacion Foces fo an Enegy-Chiped Bunch ui Li, J. Bisognano,. Legg, and. Bosch Ouline 1. Inoducion 2. Pevious 1D and 2D esuls fo Effecive CS Foce 3. Bunch Disibuion Vaiaion

More information

The following report makes use of the process from Chapter 2 in Dr. Cumming s thesis.

The following report makes use of the process from Chapter 2 in Dr. Cumming s thesis. Zaleski 1 Joseph Zaleski Mah 451H Final Repor Conformal Mapping Mehods and ZST Hele Shaw Flow Inroducion The Hele Shaw problem has been sudied using linear sabiliy analysis and numerical mehods, bu a novel

More information

Algorithmic Discrete Mathematics 6. Exercise Sheet

Algorithmic Discrete Mathematics 6. Exercise Sheet Algorihmic Dicree Mahemaic. Exercie Shee Deparmen of Mahemaic SS 0 PD Dr. Ulf Lorenz 7. and 8. Juni 0 Dipl.-Mah. David Meffer Verion of June, 0 Groupwork Exercie G (Heap-Sor) Ue Heap-Sor wih a min-heap

More information

Variance and Covariance Processes

Variance and Covariance Processes Vaiance and Covaiance Pocesses Pakash Balachandan Depamen of Mahemaics Duke Univesiy May 26, 2008 These noes ae based on Due s Sochasic Calculus, Revuz and Yo s Coninuous Maingales and Bownian Moion, Kaazas

More information

Introduction to SLE Lecture Notes

Introduction to SLE Lecture Notes Inroducion o SLE Lecure Noe May 13, 16 - The goal of hi ecion i o find a ufficien condiion of λ for he hull K o be generaed by a imple cure. I urn ou if λ 1 < 4 hen K i generaed by a imple curve. We will

More information

Consider a Binary antipodal system which produces data of δ (t)

Consider a Binary antipodal system which produces data of δ (t) Modulaion Polem PSK: (inay Phae-hi keying) Conide a inay anipodal yem whih podue daa o δ ( o + δ ( o inay and epeively. Thi daa i paed o pule haping ile and he oupu o he pule haping ile i muliplied y o(

More information

Circular Motion. Radians. One revolution is equivalent to which is also equivalent to 2π radians. Therefore we can.

Circular Motion. Radians. One revolution is equivalent to which is also equivalent to 2π radians. Therefore we can. 1 Cicula Moion Radians One evoluion is equivalen o 360 0 which is also equivalen o 2π adians. Theefoe we can say ha 360 = 2π adians, 180 = π adians, 90 = π 2 adians. Hence 1 adian = 360 2π Convesions Rule

More information

LAPLACE TRANSFORMS. 1. Basic transforms

LAPLACE TRANSFORMS. 1. Basic transforms LAPLACE TRANSFORMS. Bic rnform In hi coure, Lplce Trnform will be inroduced nd heir properie exmined; ble of common rnform will be buil up; nd rnform will be ued o olve ome dierenil equion by rnforming

More information

Combinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions

Combinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions Inenaional Mahemaical Foum, Vol 8, 03, no 0, 463-47 HIKARI Ld, wwwm-hikaicom Combinaoial Appoach o M/M/ Queues Using Hypegeomeic Funcions Jagdish Saan and Kamal Nain Depamen of Saisics, Univesiy of Delhi,

More information

Notes on McCall s Model of Job Search. Timothy J. Kehoe March if job offer has been accepted. b if searching

Notes on McCall s Model of Job Search. Timothy J. Kehoe March if job offer has been accepted. b if searching Notes on McCall s Model of Job Seach Timothy J Kehoe Mach Fv ( ) pob( v), [, ] Choice: accept age offe o eceive b and seach again next peiod An unemployed oke solves hee max E t t y t y t if job offe has

More information

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation Lecue 8: Kineics of Phase Gowh in a Two-componen Sysem: geneal kineics analysis based on he dilue-soluion appoximaion Today s opics: In he las Lecues, we leaned hee diffeen ways o descibe he diffusion

More information

Discussion Session 2 Constant Acceleration/Relative Motion Week 03

Discussion Session 2 Constant Acceleration/Relative Motion Week 03 PHYS 100 Dicuion Seion Conan Acceleraion/Relaive Moion Week 03 The Plan Today you will work wih your group explore he idea of reference frame (i.e. relaive moion) and moion wih conan acceleraion. You ll

More information

What is maximum Likelihood? History Features of ML method Tools used Advantages Disadvantages Evolutionary models

What is maximum Likelihood? History Features of ML method Tools used Advantages Disadvantages Evolutionary models Wha i maximum Likelihood? Hiory Feaure of ML mehod Tool ued Advanage Diadvanage Evoluionary model Maximum likelihood mehod creae all he poible ree conaining he e of organim conidered, and hen ue he aiic

More information

ENV 6015 Solution to Mixing Problem Set

ENV 6015 Solution to Mixing Problem Set EN 65 Soluion o ixing Problem Se. A slug of dye ( ) is injeced ino a single ank wih coninuous mixing. The flow in and ou of he ank is.5 gpm. The ank volume is 5 gallons. When will he dye concenraion equal

More information

Math 4600: Homework 11 Solutions

Math 4600: Homework 11 Solutions Mah 46: Homework Soluions Gregory Handy [.] One of he well-known phenomenological (capuring he phenomena, bu no necessarily he mechanisms) models of cancer is represened by Gomperz equaion dn d = bn ln(n/k)

More information

Lecture 5. Chapter 3. Electromagnetic Theory, Photons, and Light

Lecture 5. Chapter 3. Electromagnetic Theory, Photons, and Light Lecue 5 Chape 3 lecomagneic Theo, Phoons, and Ligh Gauss s Gauss s Faada s Ampèe- Mawell s + Loen foce: S C ds ds S C F dl dl q Mawell equaions d d qv A q A J ds ds In mae fields ae defined hough ineacion

More information

CONTROL SYSTEMS. Chapter 10 : State Space Response

CONTROL SYSTEMS. Chapter 10 : State Space Response CONTROL SYSTEMS Chaper : Sae Space Repone GATE Objecive & Numerical Type Soluion Queion 5 [GATE EE 99 IIT-Bombay : Mark] Conider a econd order yem whoe ae pace repreenaion i of he form A Bu. If () (),

More information

Degree of Approximation of a Class of Function by (C, 1) (E, q) Means of Fourier Series

Degree of Approximation of a Class of Function by (C, 1) (E, q) Means of Fourier Series IAENG Inenaional Jounal of Applied Mahemaic, 4:, IJAM_4 7 Degee of Appoximaion of a Cla of Funcion by C, E, q Mean of Fouie Seie Hae Kihna Nigam and Kuum Shama Abac In hi pape, fo he fi ime, we inoduce

More information

Overview. Overview Page 1 of 8

Overview. Overview Page 1 of 8 COMPUTERS AND STRUCTURES, INC., BERKELEY, CALIORNIA DECEMBER 2001 COMPOSITE BEAM DESIGN AISC-LRD93 Tecnical Noe Compac and Noncompac Requiemens Tis Tecnical Noe descibes o e pogam cecks e AISC-LRD93 specificaion

More information

Let. x y. denote a bivariate time series with zero mean.

Let. x y. denote a bivariate time series with zero mean. Linear Filer Le x y : T denoe a bivariae ime erie wih zero mean. Suppoe ha he ime erie {y : T} i conruced a follow: y a x The ime erie {y : T} i aid o be conruced from {x : T} by mean of a Linear Filer.

More information

Problem Set If all directed edges in a network have distinct capacities, then there is a unique maximum flow.

Problem Set If all directed edges in a network have distinct capacities, then there is a unique maximum flow. CSE 202: Deign and Analyi of Algorihm Winer 2013 Problem Se 3 Inrucor: Kamalika Chaudhuri Due on: Tue. Feb 26, 2013 Inrucion For your proof, you may ue any lower bound, algorihm or daa rucure from he ex

More information

The International Diversification Puzzle when Goods Prices are Sticky: It s Really about Exchange-Rate Hedging, not Equity Portfolios

The International Diversification Puzzle when Goods Prices are Sticky: It s Really about Exchange-Rate Hedging, not Equity Portfolios The Inenaional Diveificaion Puzzle when Good Pice ae Sicky: I eally abou Exchange-ae edging, no Equiy Pofolio by CALES ENGEL AND AKITO MATSUMOTO Appendix A. Soluion of he Dynamic Model An equilibium aifie

More information

Fall 2004/05 Solutions to Assignment 5: The Stationary Phase Method Provided by Mustafa Sabri Kilic. I(x) = e ixt e it5 /5 dt (1) Z J(λ) =

Fall 2004/05 Solutions to Assignment 5: The Stationary Phase Method Provided by Mustafa Sabri Kilic. I(x) = e ixt e it5 /5 dt (1) Z J(λ) = 8.35 Fall 24/5 Solution to Aignment 5: The Stationay Phae Method Povided by Mutafa Sabi Kilic. Find the leading tem fo each of the integal below fo λ >>. (a) R eiλt3 dt (b) R e iλt2 dt (c) R eiλ co t dt

More information

Low-complexity Algorithms for MIMO Multiplexing Systems

Low-complexity Algorithms for MIMO Multiplexing Systems Low-complexiy Algoihms fo MIMO Muliplexing Sysems Ouline Inoducion QRD-M M algoihm Algoihm I: : o educe he numbe of suviving pahs. Algoihm II: : o educe he numbe of candidaes fo each ansmied signal. :

More information

Lecture 26: Leapers and Creepers

Lecture 26: Leapers and Creepers Lecue 6: Leape and Ceepe Scibe: Geain Jone (and Main Z. Bazan) Depamen of Economic, MIT May, 5 Inoducion Thi lecue conide he analyi of he non-epaable CTRW in which he diibuion of ep ize and ime beween

More information

Computer Propagation Analysis Tools

Computer Propagation Analysis Tools Compue Popagaion Analysis Tools. Compue Popagaion Analysis Tools Inoducion By now you ae pobably geing he idea ha pedicing eceived signal sengh is a eally impoan as in he design of a wieless communicaion

More information

ME 391 Mechanical Engineering Analysis

ME 391 Mechanical Engineering Analysis Fall 04 ME 39 Mechanical Engineering Analsis Eam # Soluions Direcions: Open noes (including course web posings). No books, compuers, or phones. An calculaor is fair game. Problem Deermine he posiion of

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 30 Signal & Syem Prof. ark Fowler oe Se #34 C-T Tranfer Funcion and Frequency Repone /4 Finding he Tranfer Funcion from Differenial Eq. Recall: we found a DT yem Tranfer Funcion Hz y aking he ZT of

More information

Sharif University of Technology - CEDRA By: Professor Ali Meghdari

Sharif University of Technology - CEDRA By: Professor Ali Meghdari Shaif Univesiy of echnology - CEDRA By: Pofesso Ali Meghai Pupose: o exen he Enegy appoach in eiving euaions of oion i.e. Lagange s Meho fo Mechanical Syses. opics: Genealize Cooinaes Lagangian Euaion

More information

Errata (1 st Edition)

Errata (1 st Edition) P Sandborn, os Analysis of Elecronic Sysems, s Ediion, orld Scienific, Singapore, 03 Erraa ( s Ediion) S K 05D Page 8 Equaion (7) should be, E 05D E Nu e S K he L appearing in he equaion in he book does

More information

Echocardiography Project and Finite Fourier Series

Echocardiography Project and Finite Fourier Series Echocardiography Projec and Finie Fourier Series 1 U M An echocardiagram is a plo of how a porion of he hear moves as he funcion of ime over he one or more hearbea cycles If he hearbea repeas iself every

More information

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION Inenaional Jounal of Science, Technology & Managemen Volume No 04, Special Issue No. 0, Mach 205 ISSN (online): 2394-537 STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE

More information

Introduction to Congestion Games

Introduction to Congestion Games Algorihmic Game Theory, Summer 2017 Inroducion o Congeion Game Lecure 1 (5 page) Inrucor: Thoma Keelheim In hi lecure, we ge o know congeion game, which will be our running example for many concep in game

More information

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities: Mah 4 Eam Review Problems Problem. Calculae he 3rd Taylor polynomial for arcsin a =. Soluion. Le f() = arcsin. For his problem, we use he formula f() + f () + f ()! + f () 3! for he 3rd Taylor polynomial

More information

Control Systems. Lecture 9 Frequency Response. Frequency Response

Control Systems. Lecture 9 Frequency Response. Frequency Response Conrol Syem Lecure 9 Frequency eone Frequency eone We now know how o analyze and deign yem via -domain mehod which yield dynamical informaion The reone are decribed by he exonenial mode The mode are deermined

More information

, on the power of the transmitter P t fed to it, and on the distance R between the antenna and the observation point as. r r t

, on the power of the transmitter P t fed to it, and on the distance R between the antenna and the observation point as. r r t Lecue 6: Fiis Tansmission Equaion and Rada Range Equaion (Fiis equaion. Maximum ange of a wieless link. Rada coss secion. Rada equaion. Maximum ange of a ada. 1. Fiis ansmission equaion Fiis ansmission

More information

Econ 201: Problem Set 2 Answers

Econ 201: Problem Set 2 Answers Econ 0: Poblem Set Anses Instucto: Alexande Sollaci T.A.: Ryan Hughes Winte 08 Question (a) The fixed cost is F C = 4 and the total vaiable costs ae T CV (y) = 4y. (b) To anse this question, let x = (x,...,

More information

1 Motivation and Basic Definitions

1 Motivation and Basic Definitions CSCE : Deign and Analyi of Algorihm Noe on Max Flow Fall 20 (Baed on he preenaion in Chaper 26 of Inroducion o Algorihm, 3rd Ed. by Cormen, Leieron, Rive and Sein.) Moivaion and Baic Definiion Conider

More information

Math 334 Test 1 KEY Spring 2010 Section: 001. Instructor: Scott Glasgow Dates: May 10 and 11.

Math 334 Test 1 KEY Spring 2010 Section: 001. Instructor: Scott Glasgow Dates: May 10 and 11. 1 Mah 334 Tes 1 KEY Spring 21 Secion: 1 Insrucor: Sco Glasgow Daes: Ma 1 and 11. Do NOT wrie on his problem saemen bookle, excep for our indicaion of following he honor code jus below. No credi will be

More information

Chapter 8 Objectives

Chapter 8 Objectives haper 8 Engr8 ircui Analyi Dr uri Nelon haper 8 Objecive Be able o eermine he naural an he ep repone of parallel circui; Be able o eermine he naural an he ep repone of erie circui. Engr8 haper 8, Nilon

More information