Coupled numerical simulation of multi-layer reservoir developed by lean-stratified water injection

Size: px
Start display at page:

Download "Coupled numerical simulation of multi-layer reservoir developed by lean-stratified water injection"

Transcription

1 J Petrol Explor Prod Technol (016) 6: DOI /s REVIEW PAPER - PRODUCTION ENGINEERING Coupled numericl simultion of multi-lyer reservoir developed by len-strtified ter injection Dpeng Go 1,,3 Jigen Ye Yueu Liu 1 Songqi Pn,3 Yunpeng Hu He Yun Received: 5 July 015 / Accepted: 13 Februry 016 / Published online: 6 Februry 016 The Author(s) 016. This rticle is published ith open ccess t Springerlink.com Abstrct Len-strtified ter injection is one of the most importnt technologies to increse production nd develop potentils for the oilfield ith extreme high ter content. Hoever, trditionl models cnnot entirely solve the inner boundry conditions of len-strtified ter injection. Therefore, e estblished the injection ellbore constrint equtions, hich ere coupled ith the oil/ter to-phse numericl reservoir models, nd then the seven digonl form sprse coefficient mtrix s solved by block precondition of generlized miniml residul lgorithm. Considering the specific sitution of len-strtified ter injection ells, reservoir geology nd production schemes of the middle prt of the sixth Oilfield in Xing Shugng, three mechnism models of multi-lyer heterogeneous reservoir ere constructed to simulte the lenstrtified ter injection. The influences of different segments numbers, modes of combintion in segment lyer nd rhythm chrcteristics of remining oil reserves nd distribution re evluted. Keyords Len-strtified ter injection Well model Numericl reservoir simultion Remining oil evlution Interctive lo-permebility reservoir & Dpeng Go godpeng009@163.com 1 3 Institute of Mechnics, Chinese Acdemy of Sciences, Beijing , Chin PetroChin Reserch Institute of Petroleum Explortion nd Development, Beijing , Chin School of Erth nd Spce Science, Peking University, Beijing , Chin Introduction Len-strtified ter injection (LSWI) is kind of lyer trgeted ter injection to enhnce terflooding recovery of multi-lyer reservoirs, hich divides ellbore into five or more segments, nd every segment injects ter for less thn six lyers. This technology cn improve terflood verticl seep efficiency, nd hs been idely used in mny multilyer sndstone reservoirs ith high ter content (He et l. 013), such s Chinese Dqing Oilfield ith higher thn 40 % terflood recovery. Furthermore, it is required to mtch the development dynmic history for every oil lyer in the process of reservoir numericl simultion during secondry development, for the ske of incresing the prediction precision for remining oil in ech snd body, especilly in min snd body (Dkung 010). The ter injection rte enters ech oil lyer cnnot follo the mobility llocted principle set in conventionl simultion model. This defect leds to inccurcy for mtching the remining oil distribution nd injected ter rte in reservoir numericl simultion. Reservoir numericl simultion methods considering LSWI contin injected ter dedupliction by mny injection ells nd coupled simultion for ter chokes, injection ell nd reservoir. The former is suitble for reservoir possessed enough injectivity test dt, nd the ter injection rte cn be clculted by rel-time monitoring test dt, nd these vlues cn be used s inner boundry condition in model (Dumku et l. 01; Villnuev-Trin et l. 013; Stone et l. 1989; Ding 011), prcticlly, injectivity test dt re very fe, so the complete injection process cnnot be represented by them (Go et l. 015). The ltter needs enough dt of injection ell devices, such s dimeters of ter chokes, hich should be used to clculte the pressure loss coupled ith ell bottom pressure (BHP) nd 13

2 70 J Petrol Explor Prod Technol (016) 6: reservoir pressure (Zho et l. 01; Lin et l. 011), nd this results in quit complex clcultion. In this pper, e propose simple method of modeling LSWI considering inner ellbore constrint condition, nd this method cn be used to simulte the development effect nd remining oil distribution in reservoir ith extreme high ter content, s relible evidence ill be provided for reservoir history mtching nd project design. Well model considering LSWI ¼ P n XM ly¼ 1, X M 6 4 os ðlyþ op oðlyþ 3 S n1 ðlyþ S n ðlyþ 7 o ðlyþ P n 5 o ðlyþ ð3þ A ne ell model considering LSWI should be constructed s the inner boundry condition for numericl reservoir simultion, nd the folloing ssumptions re mde. 1. Injection ell is divided into N segments verticlly, nd every segment contins M oil lyers.. The totl injected ter rte is knon, nd mintins constnt. 3. Every segment is seprted by pckers in tubingcsing nnulus, so there is no fluid floing through beteen them. 4. Only oil nd ter phses re considered in the model, nd the cpillry is neglected. The totl injected ter rte is expressed s: Q ¼ XN seg ¼ 1 Q ðsegþ ¼ XN X M q ðsegþðlyþ seg ¼ 1 ð1þ Every injection rte of ech segment of ellbore is solved by liner implicit method to enhnce the stbility of numericl equtions. Tking ter sturtion, injection pressure nd oil phse pressure s unknon prmeters, the injection rte cn be expressed by Tylor-formul t to continuous time steps s Eq.. Q n1 ðsegþ Q n ðsegþ XM 6 4 os ðlyþ op oðlyþ 3 S n1 ðlyþ S n ðlyþ o ðlyþ P n o ðsegþðlyþ 7 P n 5 ðþ Although injected ter rte of every oil lyer vries during these to continuous time steps, the totl injected ter rte of every segment is constnt (Q n1 ðsegþ ¼ Q n ðsegþ ) under the ssumption bove, nd then the ell model considering LSWI is deduced from Eq.. here Q is the totl injected rte; seg is the lbel for segment; ly is the lbel for lyer; n is the lbel for time step; N is the totl segment number for LSWI ell; M is the totl number of lyers; q is the injected ter rte for every oil lyer; s is the ter sturtion; P o is oil pressure; P f is injected pressure djusted by ter chokes. Coupled numericl model Assuming tht the pressure grdient in tubing-csing nnulus is constnt t different time steps, nd then the injected pressure fter ter chokes nd connected reservoir grid flo rte nd pressure re given by: Wellbore pressure model: f ¼ Pf n1 n H H ðsegþ ðsegþ ð4þ Flo model of reservoir grid (Yn et l. 008): q n1 ¼ q n1 ðsegþðlyþ ¼ WI f k L ð5þ Oil ter to phse flo models re discretized, nd pressure nd sturtion re solved implicitly, residul equtions of the reservoir grid ith producer or injector contin source nd sink terms. Oil phse residul eqution: R o R ¼ V Dt Xb " /ð1 S Þ n1 /ð1 S # n Þ B o B o i¼1 ½T oi ðdp c o DZÞ n1 q n1 Wter phse residul eqution: " ¼ V /S n1 /S # n Dt B B Xb i¼1 ½T i ðdp c DZÞ n1 q n1 ð6þ ð7þ 13

3 J Petrol Explor Prod Technol (016) 6: Oil phse residul equtions of reservoir grid ithout producer nd injector re conventionl s hevy oil model, injected pressure needs to be considered only for these grids ith producer nd injector, nd these terms re functions of ter sturtion nd oil pressure s represented in Eq. 3, so the unknon prmeters re ter sturtion nd oil pressure hen solving the nonliner eqution set consists of these residul equtions of every grids. Coupled ith ell model, ellbore pressure model nd reservoir grid flo model, ter phse residul eqution for reservoir grids ith injector is expressed s: 8 or n o Po n1 op P n or n >< S n1 o os S n ¼ R o or n op P o n1 P n or n >: o os Sn1 S n ¼ R ð9þ Every element in the coefficient mtrix cn be simplified A o P s 9 submtrix: o A o S, A P o A S R " ¼ V /S n1 /S # n Dt B B WI 8 >< >: XM 6 4 Xb i¼1 ½T i ðdp c DZÞ n1 P n n ðh H ðsegþ Þ oq n 3 S n1 os S n, X M oq n 7 op P n 5 o oq k L 9 >= >; ð8þ here n is ter pressure grdient in ell segment; is the lbel of center grid; H is depth; i is the djcent grid; k is threshold pressure grdient; L is the distnce beteen ell nd grid boundry; R o is the oil phse residul for center grid; R is the ter phse residul for center grid; b is the totl number of djcent grids; T o, T re the oil nd ter trnsmissibility beteen grids; B o, B re the oil nd ter volume fctors; q o, q re the injected nd produced oil/ter rte in grid; WI is ell index; c o, c re oil/ter grvity; / is the porosity. All of the oil ter residul equtions of reservoir grids re combined s huge liner eqution set (Eq. 9), hich cn lso be ritten s the mtrix formts ith seven digonl sprse coefficient mtrix, nd its structure is s sme s the coefficient mtrix of conventionl reservoir numericl simultion model ithout LSWI (Jigen et l. 007). A P o ¼ or ¼ V op o Dt 8 owi op o n1 o /S B op o o Pb i¼1 ½T i ðdpc DZÞ op o n1 P n n H H ðsegþ P n1 k L 9 oq n 3 P M os S n1 S n >< >= 6 oq n 7 4 o op P n 5 o P M n >: >; WI 1 oq op o oq ", X M n # oq ð10þ 13

4 7 J Petrol Explor Prod Technol (016) 6: A S ¼ or ¼ V o Pb ½T i ðdp c DZÞ n1 / i¼1 os DtB os 8 P n n H H ðsegþ P n1 k L 9 oq n 3 S owi P M n1 os S n >< >= os 6 oq n 7 4 o op P n 5 o P M n >: >;, oq n X M WI os oq oq ð11þ The coefficient of the grid ith LSWI becomes more complex s indicted in Eqs. 10 nd 11, so every submtrix cn be regrded s n integrl term hen the overll numericl model is solved by block pretretment of generlized miniml residul lgorithm (Bohu et l. 013). Model vlidtion The model proposed in this pper is vlidted by the test dt from LSWI ell (X6-3-31) locted in the middle prt of the sixth Oilfield in Xing Shugng, nd the results of injected ter rtio clculted by the model re compred to tht of injectivity test dt nd conventionl hevy oil model ithout LSWI, s shon in Fig. 1. Figure 1 is the comprtive results in 00, hen the LSWI ell is divided into four segments by three pckers, nd Fig. 1b is the comprtive results in 010, hen the ell is divided into six segments by five pckers. It is obviously tht conventionl hevy oil model cnnot simulte the effect of LSWI, but the LSWI model cquires more ccurte injected ter rtio close to the injectivity test dt in these yers. Cse study Geologicl mechnism model Considering the specific sitution of LSWI ells, reservoir geology nd production schemes of the middle prt of the sixth Oilfield in Xing Shugng, three mechnism models of multi-lyer heterogeneous reservoir ere constructed to simulte the LSWI. Ech of the models hs dimensions of 80 ft 9 80 ft 9 88 ft, nd is discretized eqully by grids horizontlly nd 54 grids verticlly, so it hs 135,000 regulr grids totlly. Generlly, there re to kinds of oil lyers in the model, nd they re high-permebility ( md) nd interctive lo-permebility (5 10 md) oil lyers, hich hve oil lyers totlly. One of them is thick high-permebility oil lyer (3.8 ft), nd 1 of them re interctive lo-permebility oil lyers, hich contin lo-permebility oil lyers connected ith high permebility prts. As shon in Fig., there re four kinds of interctive lo-permebility oil lyers in this model from top to bottom: continuous delt front sheet snd oil lyers (Fig. : continuous 1 7), prtil delt front sheet snd oil lyers (Fig. b: prtil 1 6), delt sheet snd edge oil lyers (Fig. c: sheet 1 5) nd overflo chnnel snd oil lyers (Fig. d: overflo 1 3). Especilly, sheet 3, continuous 7 nd overflo 13 re three independent lo-permebility oil lyers. Recovery nd verticl seep efficiency Six LSWI projects re designed for the three geologicl mechnism models, nd they re totlly developed for 0 yers ith the sme injection ter rte. In the initil 5 yers of production, five-spot terflood ell pttern is used for the development, nd the injector ith 30 m 3 /dy injection ter rte is locted t the center of the model. Afterrds, the injector is divided into four segments for terflooding. 5 yers lter, it is subdivided into 5 10 segments ith LSWI by subdivision nd restructuring of originl segments, nd four producers re dded into this terflood ell pttern to enhnce the. The injection ter rte (100 m 3 /dy) nd bottom ellbore pressure of producer keep constnt during the 10 yers development yers ith LSWI. Figures 3, 4 shos the ultimte recovery nd verticl seep efficiency of interctive lo-permebility oil lyers vrying ith segment numbers under different modes nd rhythm chrcteristics fter developing 0 yers. Hoever, it is very difficult to find the regulrity beteen the ultimte recovery nd segment numbers, becuse there re too mny fctors influencing the ultimte recovery, hich include geologicl models, production schemes nd so on. There is no point tnlyse the optimum number of intervls under specil model nd production scheme. For exmple, the ultimte recovery under seven segments is higher thn tht under 8 segments, even the ellbore nd oil lyers hve been subdivided to be much lener. Presently, some possible instructions cn be drn by us s follos in broder sense. The ultimte recovery of model ith different rhythms increses t first, nd then become smooth, hoever, the 13

5 J Petrol Explor Prod Technol (016) 6: Fig. 1 The comprtive results of injectivity test dt, LSWI model nd conventionl hevy oil model verticl seep efficiency increses grdully. When segments number of LSWI increses under subdivision of originl segments, ultimte recovery nd verticl seep efficiency both increses ith strong fluctution. Hoever, ultimte recovery increses ith smller fluctution under segmenttion nd restructuring, nd the verticl seep efficiency increses grdully. It illustrtes tht more segments nd more complete restructuring of segments my not be effected, so the modes of segmenttion nd segment numbers need to be optimized. The vrition tendency of recovery nd verticl seep efficiency re the sme, nd high ultimte recovery ill be obtined ith high verticl seep efficiency of interctive lo-permebility oil lyers, so the key of enhncing production lies in incresing verticl seep efficiency. 13

6 74 J Petrol Explor Prod Technol (016) 6: Interctive lo-permebility oil lyer extended connected ith high-permebility oil lyer Independent lo-permebility oil lyer Horizontl section: 1Continuous 1- nd 5-6 Continuous 3-4 3Continuous 7 Verticl section: 1 Continuous 1- nd 5-6 Continuous 3-4 Continuous delt front sheet snd oil lyer Lenticel lo-permebility oil lyer Horizontl section: 1Prtil 1- Prtil 3-4 3Prtil 5-6 Verticl section: 1Prtil 1- Prtil 3-6 b Prtil delt front sheet snd oil lyer Interctive lo-permebility oil lyer extended connected ith high-permebility oil lyer Independent lo-permebility oil lyer Independent lo-permebility oil lyer Horizontl section: 1Overflo 1 Thick high-permebility oil lyer 3Overflo 4Overflo 4 Verticl section: Overflo 1-3 nd Thick high-permebility oil lyer c Overflo chnnel snd oil lyer Independent lo-permebility oil lyer Independent lo-permebility oil lyer Horizontl section: 1Sheet 1- Sheet 3 3Sheet 4-5 Verticl section: 1Sheet 1-3 Sheet 4-5 d Edge delt stble sheet snd oil lyer Fig. Initil oil sturtion of four types of model ith interctive lo-permebility reservoirs nd high-permebility reservoirs Rhythm chrcteristics of high-permebility oil lyers hve little influence for ultimte recovery of interctive lo-permebility oil lyers, but segmenttion modes hve more obvious influence. Hoever, verticl seep efficiency re lmost equl for models ith reverse rhythm nd composite rhythm, nd both higher thn positive rhythm model. Distribution regulrity of remining oil Remining oil cused by incomplete terflood ell pttern cnnot be sept effectively. Tke the overflo to oil lyer shon in Fig. 5 s n exmple, only one injector is locted in the center of the interctive oil lyer, nd its lopermebility prt connects ith high-permebility prts t both sides, so there is no producer corresponded ith the injector in lo-permebility prts. Consequently, most remining oil concentrtes in I nd II prts. Besides, lthough there is no injector corresponded ith producer in these to high permebility edge prts, ter injected for lo-permebility prts flos to these prts, so remining oil is only trpped in top nd bottom corners of these prts. Becuse of the verticl heterogeneity of the multi-lyer reservoir models, the injected ter minly flo into the thick high-permebility oil lyers rpidly, though these lyers hve reched extreme high ter content, so the 13

7 J Petrol Explor Prod Technol (016) 6: Fig. 3 The ultimte recovery vrying ith segment numbers under different modes Fig. 4 Verticl seep efficiency vrying ith segment numbers under different modes djcent lo-permebility oil lyers hve not been sept effectively. As Fig. 6 shos, overflo 1 nd, hich re the upper nd loer oil lyers of the thick high-permebility oil lyer, hve not been sept hen the LSWI ell re divided into five segments. Tht is becuse bottom ellbore pressure of injector is less thn threshold pressure, so ter cnnot be injected in these lo-permebility oil lyers. Independent lo-permebility oil lyers hve poor physicl properties, so they re difficult to be sept even by LSWI. As shon in Fig. 7, sheet 3 is independent lo-permebility oil lyer, hich cnnot be sept hen the injector is divided into five segments by LSWI. After subdividing into ten segments, the oil lyer cn be sept finlly. Hoever, the terflood production isn t entirely effective, so more stimulting 13

8 76 J Petrol Explor Prod Technol (016) 6: I Interctive lo-permebility oil lyer High-permebility oil lyer II High-permebility oil lyer (Top) (Middle) (Bottom) Fig. 5 Oil sturtion distribution of overflo oil lyer fter developing 0 yers ith ten segments Overflo 1 High-permebility oil lyer Thick high-permebility oil lyer Interctive lo-permebility oil lyer *Complete non-sept *Full strong seep *Totl non-sept Overflo (Overflo 1) (Thick high-permebility oil lyer) (Overflo ) (Verticl section of 3 oil lyers before) Fig. 6 Oil sturtion distribution of overflo 1, nd high permebility oil lyers fter developing 0 yers ith five segments Fig. 7 Oil sturtion distribution of Sheet 3 oil lyer fter developing 0 yers ith five nd ten segments *Complete non-sept (5 segments) (10 segments) mesures re necessry, such s hydrulic frcturing nd gs injection. Conclusions Injection pressure djusted by ter chokes, ell grid pressure nd fluid sturtion re mde s three unknon prmeters, nd the source terms of injector ellbore re solved implicitly, nd then ell model of LSWI is estblished, hich coupled ith oil ter to phses model to form the finl numericl models. It cn lso be represented s close liner system ith seven digonl sprse coefficient mtrix, nd solved by block pretretment of generlized miniml residul lgorithm. According to the theory of LSWI, the numericl model proposed, reservoir strtum distribution nd injector segments chrcterized in the Chinese Dqing Oilfield, three multi-lyer reservoir 13

9 J Petrol Explor Prod Technol (016) 6: mechnism models re estblished ith positive rhythm, negtive rhythm nd composite rhythm, respectively in high-permebility oil lyers. Lo-permebility oil lyers re primry potentil for multi-lyer reservoirs ith extreme high ter content, nd LSWI ill help them to get higher recovery. More segments is not the gol of LSWI, the structure of ellbore segments need to correspond ith distribution of remining oil, nd verticl heterogeneity should be ekened. The key of enhncing recovery is to increse verticl seep efficiency, the remining oil cused by verticl heterogeneity nd poor physicl properties cn be terflooded by djusting structure of segmenttion. Hoever, some other stimulting mesures re necessry to be used for developing the remining oil cused by bd connectivity beteen injectors nd producers. Acknoledgments This study hs been crried out under the frmeork of the ntionl meg project of science reserch (011ZX ) finnced by Chinese government, nd hs been prtilly supported by Petro-chin. Open Access This rticle is distributed under the terms of the Cretive Commons Attribution 4.0 Interntionl License ( cretivecommons.org/licenses/by/4.0/), hich permits unrestricted use, distribution, nd reproduction in ny medium, provided you give pproprite credit to the originl uthor(s) nd the source, provide link to the Cretive Commons license, nd indicte if chnges ere mde. Dkung H (010) Discussions on concepts, countermesures nd technicl routes for the redevelopment of high ter-cut oilfields. Pet Explor Dev 37(5): Ding DY (011) Coupled simultion of ner-ellbore nd reservoir models. J Pet Sci Eng 76:1 36 Dumku FA et l (01) Revie of ell models nd ssessment of their impcts on numericl reservoir simultion performnce. J Pet Sci Eng 15: Go D, Ye J, Hu Y et l (015) Numericl reservoir simultion constrined to fine seprted lyer ter injection. Chin J Comput Phys 3(3):38 44 He L, Xiogung P, Ki L (013) Current sttus nd trend of seprted lyer ter flooding in Chin. Pet Explor Dev 40(6): Jigen Y, Xinghong W, Yixing Z et l (007) Study on computer ssisted history-mtching method in corner point grids. Act Petrolei Sinic 8():83 86 Lin CY, Hung LH, Li DL et l (011) The coupling study of throttle nd reservoir seepge of ter injection in development of oil field. Chin J Comput Mech 8(4): Stone TW et l (1989) A comprehensive ellbore/reservoir simultor. SPE Villnuev-Trin B et l (013) Rigorous simultion of production from commingled multilyer reservoirs under vrious crossflo nd boundry conditions. SPE Yn Z, Xie J, Yng W et l (008) Method for improving history mtching precision of reservoir numericl simultion. Pet Explor Dev 35():5 7 Zho G, Sun W, He X (01) Reservoir simultion model bsed on strtified ter injection nd its ppliction. J Northest Pet Univ 36(6):8 87 References Bohu W, Shuhong W, Dkung H et l (013) Block compressed storge nd computtion in lrge-scle reservoir simultion. Pet Explor Dev 40(4):

KINEMATICS OF RIGID BODIES

KINEMATICS OF RIGID BODIES KINEMTICS OF RIGID ODIES Introduction In rigid body kinemtics, e use the reltionships governing the displcement, velocity nd ccelertion, but must lso ccount for the rottionl motion of the body. Description

More information

New Expansion and Infinite Series

New Expansion and Infinite Series Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University

More information

99/105 Comparison of OrcaFlex with standard theoretical results

99/105 Comparison of OrcaFlex with standard theoretical results 99/105 Comprison of OrcFlex ith stndrd theoreticl results 1. Introduction A number of stndrd theoreticl results from literture cn be modelled in OrcFlex. Such cses re, by virtue of being theoreticlly solvble,

More information

Applications of Bernoulli s theorem. Lecture - 7

Applications of Bernoulli s theorem. Lecture - 7 Applictions of Bernoulli s theorem Lecture - 7 Prcticl Applictions of Bernoulli s Theorem The Bernoulli eqution cn be pplied to gret mny situtions not just the pipe flow we hve been considering up to now.

More information

Math 1B, lecture 4: Error bounds for numerical methods

Math 1B, lecture 4: Error bounds for numerical methods Mth B, lecture 4: Error bounds for numericl methods Nthn Pflueger 4 September 0 Introduction The five numericl methods descried in the previous lecture ll operte by the sme principle: they pproximte the

More information

New data structures to reduce data size and search time

New data structures to reduce data size and search time New dt structures to reduce dt size nd serch time Tsuneo Kuwbr Deprtment of Informtion Sciences, Fculty of Science, Kngw University, Hirtsuk-shi, Jpn FIT2018 1D-1, No2, pp1-4 Copyright (c)2018 by The Institute

More information

Vadose Zone Hydrology

Vadose Zone Hydrology Objectives Vdose Zone Hydrology 1. Review bsic concepts nd terminology of soil physics. 2. Understnd the role of wter-tble dynmics in GW-SW interction. Drcy s lw is useful in region A. Some knowledge of

More information

Entropy ISSN

Entropy ISSN Entropy 006, 8[], 50-6 50 Entropy ISSN 099-4300 www.mdpi.org/entropy/ ENTROPY GENERATION IN PRESSURE GRADIENT ASSISTED COUETTE FLOW WITH DIFFERENT THERMAL BOUNDARY CONDITIONS Abdul Aziz Deprtment of Mechnicl

More information

Monte Carlo method in solving numerical integration and differential equation

Monte Carlo method in solving numerical integration and differential equation Monte Crlo method in solving numericl integrtion nd differentil eqution Ye Jin Chemistry Deprtment Duke University yj66@duke.edu Abstrct: Monte Crlo method is commonly used in rel physics problem. The

More information

1.2. Linear Variable Coefficient Equations. y + b "! = a y + b " Remark: The case b = 0 and a non-constant can be solved with the same idea as above.

1.2. Linear Variable Coefficient Equations. y + b ! = a y + b  Remark: The case b = 0 and a non-constant can be solved with the same idea as above. 1 12 Liner Vrible Coefficient Equtions Section Objective(s): Review: Constnt Coefficient Equtions Solving Vrible Coefficient Equtions The Integrting Fctor Method The Bernoulli Eqution 121 Review: Constnt

More information

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives Block #6: Properties of Integrls, Indefinite Integrls Gols: Definition of the Definite Integrl Integrl Clcultions using Antiderivtives Properties of Integrls The Indefinite Integrl 1 Riemnn Sums - 1 Riemnn

More information

MAC-solutions of the nonexistent solutions of mathematical physics

MAC-solutions of the nonexistent solutions of mathematical physics Proceedings of the 4th WSEAS Interntionl Conference on Finite Differences - Finite Elements - Finite Volumes - Boundry Elements MAC-solutions of the nonexistent solutions of mthemticl physics IGO NEYGEBAUE

More information

Partial Derivatives. Limits. For a single variable function f (x), the limit lim

Partial Derivatives. Limits. For a single variable function f (x), the limit lim Limits Prtil Derivtives For single vrible function f (x), the limit lim x f (x) exists only if the right-hnd side limit equls to the left-hnd side limit, i.e., lim f (x) = lim f (x). x x + For two vribles

More information

ADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS

ADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS ADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS F. Tkeo 1 nd M. Sk 1 Hchinohe Ntionl College of Technology, Hchinohe, Jpn; Tohoku University, Sendi, Jpn Abstrct:

More information

Module 6: LINEAR TRANSFORMATIONS

Module 6: LINEAR TRANSFORMATIONS Module 6: LINEAR TRANSFORMATIONS. Trnsformtions nd mtrices Trnsformtions re generliztions of functions. A vector x in some set S n is mpped into m nother vector y T( x). A trnsformtion is liner if, for

More information

Math 113 Exam 2 Practice

Math 113 Exam 2 Practice Mth 3 Exm Prctice Februry 8, 03 Exm will cover 7.4, 7.5, 7.7, 7.8, 8.-3 nd 8.5. Plese note tht integrtion skills lerned in erlier sections will still be needed for the mteril in 7.5, 7.8 nd chpter 8. This

More information

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite Unit #8 : The Integrl Gols: Determine how to clculte the re described by function. Define the definite integrl. Eplore the reltionship between the definite integrl nd re. Eplore wys to estimte the definite

More information

Operations with Polynomials

Operations with Polynomials 38 Chpter P Prerequisites P.4 Opertions with Polynomils Wht you should lern: How to identify the leding coefficients nd degrees of polynomils How to dd nd subtrct polynomils How to multiply polynomils

More information

1.9 C 2 inner variations

1.9 C 2 inner variations 46 CHAPTER 1. INDIRECT METHODS 1.9 C 2 inner vritions So fr, we hve restricted ttention to liner vritions. These re vritions of the form vx; ǫ = ux + ǫφx where φ is in some liner perturbtion clss P, for

More information

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007 A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H Thoms Shores Deprtment of Mthemtics University of Nebrsk Spring 2007 Contents Rtes of Chnge nd Derivtives 1 Dierentils 4 Are nd Integrls 5 Multivrite Clculus

More information

Numerical Analysis: Trapezoidal and Simpson s Rule

Numerical Analysis: Trapezoidal and Simpson s Rule nd Simpson s Mthemticl question we re interested in numericlly nswering How to we evlute I = f (x) dx? Clculus tells us tht if F(x) is the ntiderivtive of function f (x) on the intervl [, b], then I =

More information

The Algebra (al-jabr) of Matrices

The Algebra (al-jabr) of Matrices Section : Mtri lgebr nd Clculus Wshkewicz College of Engineering he lgebr (l-jbr) of Mtrices lgebr s brnch of mthemtics is much broder thn elementry lgebr ll of us studied in our high school dys. In sense

More information

Black oils Correlations Comparative Study

Black oils Correlations Comparative Study Reservoir Technologies Blck oils Correltions Comprtive Study Dr. Muhmmd Al-Mrhoun, Mnging Director Sturdy, 26 April, 2014 Copyright 2008, NExT, All rights reserved Blck oils Correltions Introduction to

More information

Effects of peripheral drilling moment on delamination using special drill bits

Effects of peripheral drilling moment on delamination using special drill bits journl of mterils processing technology 01 (008 471 476 journl homepge: www.elsevier.com/locte/jmtprotec Effects of peripherl illing moment on delmintion using specil ill bits C.C. Tso,, H. Hocheng b Deprtment

More information

NOTE ON TRACES OF MATRIX PRODUCTS INVOLVING INVERSES OF POSITIVE DEFINITE ONES

NOTE ON TRACES OF MATRIX PRODUCTS INVOLVING INVERSES OF POSITIVE DEFINITE ONES Journl of pplied themtics nd Computtionl echnics 208, 7(), 29-36.mcm.pcz.pl p-issn 2299-9965 DOI: 0.752/jmcm.208..03 e-issn 2353-0588 NOE ON RCES OF RIX PRODUCS INVOLVING INVERSES OF POSIIVE DEFINIE ONES

More information

The Form of Hanging Slinky

The Form of Hanging Slinky Bulletin of Aichi Univ. of Eduction, 66Nturl Sciences, pp. - 6, Mrch, 07 The Form of Hnging Slinky Kenzi ODANI Deprtment of Mthemtics Eduction, Aichi University of Eduction, Kriy 448-854, Jpn Introduction

More information

Conservation Law. Chapter Goal. 5.2 Theory

Conservation Law. Chapter Goal. 5.2 Theory Chpter 5 Conservtion Lw 5.1 Gol Our long term gol is to understnd how mny mthemticl models re derived. We study how certin quntity chnges with time in given region (sptil domin). We first derive the very

More information

KINEMATICS OF RIGID BODIES

KINEMATICS OF RIGID BODIES KINEMTICS OF RIGI OIES Introduction In rigid body kinemtics, e use the reltionships governing the displcement, velocity nd ccelertion, but must lso ccount for the rottionl motion of the body. escription

More information

4. Calculus of Variations

4. Calculus of Variations 4. Clculus of Vritions Introduction - Typicl Problems The clculus of vritions generlises the theory of mxim nd minim. Exmple (): Shortest distnce between two points. On given surfce (e.g. plne), nd the

More information

3.4 Numerical integration

3.4 Numerical integration 3.4. Numericl integrtion 63 3.4 Numericl integrtion In mny economic pplictions it is necessry to compute the definite integrl of relvlued function f with respect to "weight" function w over n intervl [,

More information

Basic model for traffic interweave

Basic model for traffic interweave Journl of Physics: Conference Series PAPER OPEN ACCESS Bsic model for trffic interweve To cite this rticle: Ding-wei Hung 25 J. Phys.: Conf. Ser. 633 227 Relted content - Bsic sciences gonize in Turkey!

More information

Review of Calculus, cont d

Review of Calculus, cont d Jim Lmbers MAT 460 Fll Semester 2009-10 Lecture 3 Notes These notes correspond to Section 1.1 in the text. Review of Clculus, cont d Riemnn Sums nd the Definite Integrl There re mny cses in which some

More information

CBE 291b - Computation And Optimization For Engineers

CBE 291b - Computation And Optimization For Engineers The University of Western Ontrio Fculty of Engineering Science Deprtment of Chemicl nd Biochemicl Engineering CBE 9b - Computtion And Optimiztion For Engineers Mtlb Project Introduction Prof. A. Jutn Jn

More information

Vadose Zone Hydrology

Vadose Zone Hydrology Objectives Vdose Zone Hydrology. Review bsic concepts nd terminology of soil physics. 2. Understnd the role of wter-tble dynmics in GW-SW interction. Wter storge in unsturted soil Minerl surfces hve uneven

More information

Lecture 20: Numerical Integration III

Lecture 20: Numerical Integration III cs4: introduction to numericl nlysis /8/0 Lecture 0: Numericl Integrtion III Instructor: Professor Amos Ron Scribes: Mrk Cowlishw, Yunpeng Li, Nthnel Fillmore For the lst few lectures we hve discussed

More information

Job No. Sheet 1 of 8 Rev B. Made by IR Date Aug Checked by FH/NB Date Oct Revised by MEB Date April 2006

Job No. Sheet 1 of 8 Rev B. Made by IR Date Aug Checked by FH/NB Date Oct Revised by MEB Date April 2006 Job o. Sheet 1 of 8 Rev B 10, Route de Limours -78471 St Rémy Lès Chevreuse Cedex rnce Tel : 33 (0)1 30 85 5 00 x : 33 (0)1 30 5 75 38 CLCULTO SHEET Stinless Steel Vloristion Project Design Exmple 5 Welded

More information

Problem 22: Buffer solutions 1. The equilibrium, which governs the concentration of H + within the solution is HCOOH! HCOO + H + + Hence K

Problem 22: Buffer solutions 1. The equilibrium, which governs the concentration of H + within the solution is HCOOH! HCOO + H + + Hence K Problem : Buffer solutions. The equilibrium, hich governs the concentrtion of H ithin the solution is HCOOH! HCOO H [HCOO ] 4 Hence. [HCOOH] nd since [HCOOH] 0.00 M nd [HCOO ] 0.50 M -4 0.00 4..8 M 0.50

More information

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1 3 9. SEQUENCES AND SERIES 63. Representtion of functions s power series Consider power series x 2 + x 4 x 6 + x 8 + = ( ) n x 2n It is geometric series with q = x 2 nd therefore it converges for ll q =

More information

MATHS NOTES. SUBJECT: Maths LEVEL: Higher TEACHER: Aidan Roantree. The Institute of Education Topics Covered: Powers and Logs

MATHS NOTES. SUBJECT: Maths LEVEL: Higher TEACHER: Aidan Roantree. The Institute of Education Topics Covered: Powers and Logs MATHS NOTES The Institute of Eduction 06 SUBJECT: Mths LEVEL: Higher TEACHER: Aidn Rontree Topics Covered: Powers nd Logs About Aidn: Aidn is our senior Mths techer t the Institute, where he hs been teching

More information

The Moving Center of Mass of a Leaking Bob

The Moving Center of Mass of a Leaking Bob The Moving Center of Mss of Leking Bob rxiv:1002.956v1 [physics.pop-ph] 21 Feb 2010 P. Arun Deprtment of Electronics, S.G.T.B. Khls College University of Delhi, Delhi 110 007, Indi. Februry 2, 2010 Abstrct

More information

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by. NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with

More information

DISTRIBUTION OF SUB AND SUPER HARMONIC SOLUTION OF MATHIEU EQUATION WITHIN STABLE ZONES

DISTRIBUTION OF SUB AND SUPER HARMONIC SOLUTION OF MATHIEU EQUATION WITHIN STABLE ZONES Fifth ASME Interntionl Conference on Multibody Systems, Nonliner Dynmics nd Control Symposium on Dynmics nd Control of Time-Vrying nd Time-Dely Systems nd Structures September 2-2, 05, Long Bech, Cliforni,

More information

Linear and Non-linear Feedback Control Strategies for a 4D Hyperchaotic System

Linear and Non-linear Feedback Control Strategies for a 4D Hyperchaotic System Pure nd Applied Mthemtics Journl 017; 6(1): 5-13 http://www.sciencepublishinggroup.com/j/pmj doi: 10.11648/j.pmj.0170601.1 ISSN: 36-9790 (Print); ISSN: 36-981 (Online) Liner nd Non-liner Feedbck Control

More information

Tests for the Ratio of Two Poisson Rates

Tests for the Ratio of Two Poisson Rates Chpter 437 Tests for the Rtio of Two Poisson Rtes Introduction The Poisson probbility lw gives the probbility distribution of the number of events occurring in specified intervl of time or spce. The Poisson

More information

PHYS Summer Professor Caillault Homework Solutions. Chapter 2

PHYS Summer Professor Caillault Homework Solutions. Chapter 2 PHYS 1111 - Summer 2007 - Professor Cillult Homework Solutions Chpter 2 5. Picture the Problem: The runner moves long the ovl trck. Strtegy: The distnce is the totl length of trvel, nd the displcement

More information

Calculus of Variations

Calculus of Variations Clculus of Vritions Com S 477/577 Notes) Yn-Bin Ji Dec 4, 2017 1 Introduction A functionl ssigns rel number to ech function or curve) in some clss. One might sy tht functionl is function of nother function

More information

Week 10: Line Integrals

Week 10: Line Integrals Week 10: Line Integrls Introduction In this finl week we return to prmetrised curves nd consider integrtion long such curves. We lredy sw this in Week 2 when we integrted long curve to find its length.

More information

INTRODUCTION. The three general approaches to the solution of kinetics problems are:

INTRODUCTION. The three general approaches to the solution of kinetics problems are: INTRODUCTION According to Newton s lw, prticle will ccelerte when it is subjected to unblnced forces. Kinetics is the study of the reltions between unblnced forces nd the resulting chnges in motion. The

More information

The Predom module. Predom calculates and plots isothermal 1-, 2- and 3-metal predominance area diagrams. Predom accesses only compound databases.

The Predom module. Predom calculates and plots isothermal 1-, 2- and 3-metal predominance area diagrams. Predom accesses only compound databases. Section 1 Section 2 The module clcultes nd plots isotherml 1-, 2- nd 3-metl predominnce re digrms. ccesses only compound dtbses. Tble of Contents Tble of Contents Opening the module Section 3 Stoichiometric

More information

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response

More information

4.4 Areas, Integrals and Antiderivatives

4.4 Areas, Integrals and Antiderivatives . res, integrls nd ntiderivtives 333. Ares, Integrls nd Antiderivtives This section explores properties of functions defined s res nd exmines some connections mong res, integrls nd ntiderivtives. In order

More information

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

SUMMER KNOWHOW STUDY AND LEARNING CENTRE SUMMER KNOWHOW STUDY AND LEARNING CENTRE Indices & Logrithms 2 Contents Indices.2 Frctionl Indices.4 Logrithms 6 Exponentil equtions. Simplifying Surds 13 Opertions on Surds..16 Scientific Nottion..18

More information

Stuff You Need to Know From Calculus

Stuff You Need to Know From Calculus Stuff You Need to Know From Clculus For the first time in the semester, the stuff we re doing is finlly going to look like clculus (with vector slnt, of course). This mens tht in order to succeed, you

More information

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1 MATH34032: Green s Functions, Integrl Equtions nd the Clculus of Vritions 1 Section 1 Function spces nd opertors Here we gives some brief detils nd definitions, prticulrly relting to opertors. For further

More information

MATH 144: Business Calculus Final Review

MATH 144: Business Calculus Final Review MATH 144: Business Clculus Finl Review 1 Skills 1. Clculte severl limits. 2. Find verticl nd horizontl symptotes for given rtionl function. 3. Clculte derivtive by definition. 4. Clculte severl derivtives

More information

Minimum Energy State of Plasmas with an Internal Transport Barrier

Minimum Energy State of Plasmas with an Internal Transport Barrier Minimum Energy Stte of Plsms with n Internl Trnsport Brrier T. Tmno ), I. Ktnum ), Y. Skmoto ) ) Formerly, Plsm Reserch Center, University of Tsukub, Tsukub, Ibrki, Jpn ) Plsm Reserch Center, University

More information

Fredholm Integral Equations of the First Kind Solved by Using the Homotopy Perturbation Method

Fredholm Integral Equations of the First Kind Solved by Using the Homotopy Perturbation Method Int. Journl of Mth. Anlysis, Vol. 5, 211, no. 19, 935-94 Fredholm Integrl Equtions of the First Kind Solved by Using the Homotopy Perturbtion Method Seyyed Mhmood Mirzei Deprtment of Mthemtics, Fculty

More information

Line Integrals. Partitioning the Curve. Estimating the Mass

Line Integrals. Partitioning the Curve. Estimating the Mass Line Integrls Suppose we hve curve in the xy plne nd ssocite density δ(p ) = δ(x, y) t ech point on the curve. urves, of course, do not hve density or mss, but it my sometimes be convenient or useful to

More information

Math& 152 Section Integration by Parts

Math& 152 Section Integration by Parts Mth& 5 Section 7. - Integrtion by Prts Integrtion by prts is rule tht trnsforms the integrl of the product of two functions into other (idelly simpler) integrls. Recll from Clculus I tht given two differentible

More information

Scientific notation is a way of expressing really big numbers or really small numbers.

Scientific notation is a way of expressing really big numbers or really small numbers. Scientific Nottion (Stndrd form) Scientific nottion is wy of expressing relly big numbers or relly smll numbers. It is most often used in scientific clcultions where the nlysis must be very precise. Scientific

More information

Math 8 Winter 2015 Applications of Integration

Math 8 Winter 2015 Applications of Integration Mth 8 Winter 205 Applictions of Integrtion Here re few importnt pplictions of integrtion. The pplictions you my see on n exm in this course include only the Net Chnge Theorem (which is relly just the Fundmentl

More information

Lecture 14: Quadrature

Lecture 14: Quadrature Lecture 14: Qudrture This lecture is concerned with the evlution of integrls fx)dx 1) over finite intervl [, b] The integrnd fx) is ssumed to be rel-vlues nd smooth The pproximtion of n integrl by numericl

More information

Factors affecting the phonation threshold pressure and frequency

Factors affecting the phonation threshold pressure and frequency 3SC Fctors ffecting the phontion threshold pressure nd frequency Zhoyn Zhng School of Medicine, University of Cliforni Los Angeles, CA, USA My, 9 57 th ASA Meeting, Portlnd, Oregon Acknowledgment: Reserch

More information

The Wave Equation I. MA 436 Kurt Bryan

The Wave Equation I. MA 436 Kurt Bryan 1 Introduction The Wve Eqution I MA 436 Kurt Bryn Consider string stretching long the x xis, of indeterminte (or even infinite!) length. We wnt to derive n eqution which models the motion of the string

More information

Section 4.8. D v(t j 1 ) t. (4.8.1) j=1

Section 4.8. D v(t j 1 ) t. (4.8.1) j=1 Difference Equtions to Differentil Equtions Section.8 Distnce, Position, nd the Length of Curves Although we motivted the definition of the definite integrl with the notion of re, there re mny pplictions

More information

On the Uncertainty of Sensors Based on Magnetic Effects. E. Hristoforou, E. Kayafas, A. Ktena, DM Kepaptsoglou

On the Uncertainty of Sensors Based on Magnetic Effects. E. Hristoforou, E. Kayafas, A. Ktena, DM Kepaptsoglou On the Uncertinty of Sensors Bsed on Mgnetic Effects E. ristoforou, E. Kyfs, A. Kten, DM Kepptsoglou Ntionl Technicl University of Athens, Zogrfou Cmpus, Athens 1578, Greece Tel: +3177178, Fx: +3177119,

More information

THERMAL EXPANSION COEFFICIENT OF WATER FOR VOLUMETRIC CALIBRATION

THERMAL EXPANSION COEFFICIENT OF WATER FOR VOLUMETRIC CALIBRATION XX IMEKO World Congress Metrology for Green Growth September 9,, Busn, Republic of Kore THERMAL EXPANSION COEFFICIENT OF WATER FOR OLUMETRIC CALIBRATION Nieves Medin Hed of Mss Division, CEM, Spin, mnmedin@mityc.es

More information

CHM Physical Chemistry I Chapter 1 - Supplementary Material

CHM Physical Chemistry I Chapter 1 - Supplementary Material CHM 3410 - Physicl Chemistry I Chpter 1 - Supplementry Mteril For review of some bsic concepts in mth, see Atkins "Mthemticl Bckground 1 (pp 59-6), nd "Mthemticl Bckground " (pp 109-111). 1. Derivtion

More information

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0)

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0) 1 Tylor polynomils In Section 3.5, we discussed how to pproximte function f(x) round point in terms of its first derivtive f (x) evluted t, tht is using the liner pproximtion f() + f ()(x ). We clled this

More information

1 The fundamental theorems of calculus.

1 The fundamental theorems of calculus. The fundmentl theorems of clculus. The fundmentl theorems of clculus. Evluting definite integrls. The indefinite integrl- new nme for nti-derivtive. Differentiting integrls. Theorem Suppose f is continuous

More information

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1 Mth 33 Volume Stewrt 5.2 Geometry of integrls. In this section, we will lern how to compute volumes using integrls defined by slice nlysis. First, we recll from Clculus I how to compute res. Given the

More information

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions Physics 6C Solution of inhomogeneous ordinry differentil equtions using Green s functions Peter Young November 5, 29 Homogeneous Equtions We hve studied, especilly in long HW problem, second order liner

More information

THE IMPORTANCE OF INCLUDING ELASTIC PROPERTY OF PENSTOCK IN THE EVALUATION OF STABILITY OF HYDROPOWEWR PLANTS

THE IMPORTANCE OF INCLUDING ELASTIC PROPERTY OF PENSTOCK IN THE EVALUATION OF STABILITY OF HYDROPOWEWR PLANTS 6 th IAHR Interntionl Meeting of the Workgroup on Cvittion nd Dynmic Problems in Hydrulic Mchinery nd Systems, September 9-, 05, jubljn, Sloveni THE IMPORTANCE OF INCUDING EASTIC PROPERTY OF PENSTOCK IN

More information

5.2 Volumes: Disks and Washers

5.2 Volumes: Disks and Washers 4 pplictions of definite integrls 5. Volumes: Disks nd Wshers In the previous section, we computed volumes of solids for which we could determine the re of cross-section or slice. In this section, we restrict

More information

8 Laplace s Method and Local Limit Theorems

8 Laplace s Method and Local Limit Theorems 8 Lplce s Method nd Locl Limit Theorems 8. Fourier Anlysis in Higher DImensions Most of the theorems of Fourier nlysis tht we hve proved hve nturl generliztions to higher dimensions, nd these cn be proved

More information

Section 6.1 Definite Integral

Section 6.1 Definite Integral Section 6.1 Definite Integrl Suppose we wnt to find the re of region tht is not so nicely shped. For exmple, consider the function shown elow. The re elow the curve nd ove the x xis cnnot e determined

More information

A027 Uncertainties in Local Anisotropy Estimation from Multi-offset VSP Data

A027 Uncertainties in Local Anisotropy Estimation from Multi-offset VSP Data A07 Uncertinties in Locl Anisotropy Estimtion from Multi-offset VSP Dt M. Asghrzdeh* (Curtin University), A. Bon (Curtin University), R. Pevzner (Curtin University), M. Urosevic (Curtin University) & B.

More information

Population Dynamics Definition Model A model is defined as a physical representation of any natural phenomena Example: 1. A miniature building model.

Population Dynamics Definition Model A model is defined as a physical representation of any natural phenomena Example: 1. A miniature building model. Popultion Dynmics Definition Model A model is defined s physicl representtion of ny nturl phenomen Exmple: 1. A miniture building model. 2. A children cycle prk depicting the trffic signls 3. Disply of

More information

Motion of Electrons in Electric and Magnetic Fields & Measurement of the Charge to Mass Ratio of Electrons

Motion of Electrons in Electric and Magnetic Fields & Measurement of the Charge to Mass Ratio of Electrons n eperiment of the Electron topic Motion of Electrons in Electric nd Mgnetic Fields & Mesurement of the Chrge to Mss Rtio of Electrons Instructor: 梁生 Office: 7-318 Emil: shling@bjtu.edu.cn Purposes 1.

More information

Suppose we want to find the area under the parabola and above the x axis, between the lines x = 2 and x = -2.

Suppose we want to find the area under the parabola and above the x axis, between the lines x = 2 and x = -2. Mth 43 Section 6. Section 6.: Definite Integrl Suppose we wnt to find the re of region tht is not so nicely shped. For exmple, consider the function shown elow. The re elow the curve nd ove the x xis cnnot

More information

Industrial Electrical Engineering and Automation

Industrial Electrical Engineering and Automation CODEN:LUTEDX/(TEIE-719)/1-7/(7) Industril Electricl Engineering nd Automtion Estimtion of the Zero Sequence oltge on the D- side of Dy Trnsformer y Using One oltge Trnsformer on the D-side Frncesco Sull

More information

Hybrid Group Acceptance Sampling Plan Based on Size Biased Lomax Model

Hybrid Group Acceptance Sampling Plan Based on Size Biased Lomax Model Mthemtics nd Sttistics 2(3): 137-141, 2014 DOI: 10.13189/ms.2014.020305 http://www.hrpub.org Hybrid Group Acceptnce Smpling Pln Bsed on Size Bised Lomx Model R. Subb Ro 1,*, A. Ng Durgmmb 2, R.R.L. Kntm

More information

temperature is known as ionic product of water. It is designated as K w. Value of K w

temperature is known as ionic product of water. It is designated as K w. Value of K w Ionic product of ter The product of concentrtions of H nd OH ions in ter t prticulr temperture is knon s ionic product of ter. It is designted s K. H O H 1 OH ; H 57.3 kjm The vlue of [H ][OH ] K ; K[HO]

More information

Simulation of Fluid Flow and Heat Transfer in Porous Medium Using Lattice Boltzmann Method

Simulation of Fluid Flow and Heat Transfer in Porous Medium Using Lattice Boltzmann Method Journl of Physics: Conference Series PAPER OPEN ACCESS Simultion of Fluid Flow nd Het Trnsfer in Porous Medium Using Lttice Boltzmnn Method To cite this rticle: Imm Wijy nd Acep Purqon 7 J. Phys.: Conf.

More information

Realistic Method for Solving Fully Intuitionistic Fuzzy. Transportation Problems

Realistic Method for Solving Fully Intuitionistic Fuzzy. Transportation Problems Applied Mthemticl Sciences, Vol 8, 201, no 11, 6-69 HKAR Ltd, wwwm-hikricom http://dxdoiorg/10988/ms20176 Relistic Method for Solving Fully ntuitionistic Fuzzy Trnsporttion Problems P Pndin Deprtment of

More information

13: Diffusion in 2 Energy Groups

13: Diffusion in 2 Energy Groups 3: Diffusion in Energy Groups B. Rouben McMster University Course EP 4D3/6D3 Nucler Rector Anlysis (Rector Physics) 5 Sept.-Dec. 5 September Contents We study the diffusion eqution in two energy groups

More information

Arithmetic Mean Derivative Based Midpoint Rule

Arithmetic Mean Derivative Based Midpoint Rule Applied Mthemticl Sciences, Vol. 1, 018, no. 13, 65-633 HIKARI Ltd www.m-hikri.com https://doi.org/10.1988/ms.018.858 Arithmetic Men Derivtive Bsed Midpoint Rule Rike Mrjulis 1, M. Imrn, Symsudhuh Numericl

More information

8.2 ESTIMATING DETENTION VOLUMES

8.2 ESTIMATING DETENTION VOLUMES 8.. Plnning versus Design number of detention bsin plnning methods hve been proposed in the professionl literture. These provide estimtes of the reuired volume of detention storge. The outlet structure

More information

Estimation of the particle concentration in hydraulic liquid by the in-line automatic particle counter based on the CMOS image sensor

Estimation of the particle concentration in hydraulic liquid by the in-line automatic particle counter based on the CMOS image sensor Glyndŵr University Reserch Online Conference Presenttion Estimtion of the prticle concentrtion in hydrulic liquid by the in-line utomtic prticle counter bsed on the CMOS imge sensor Kornilin, D.V., Kudryvtsev,

More information

A Brief Review on Akkar, Sandikkaya and Bommer (ASB13) GMPE

A Brief Review on Akkar, Sandikkaya and Bommer (ASB13) GMPE Southwestern U.S. Ground Motion Chrcteriztion Senior Seismic Hzrd Anlysis Committee Level 3 Workshop #2 October 22-24, 2013 A Brief Review on Akkr, Sndikky nd Bommer (ASB13 GMPE Sinn Akkr Deprtment of

More information

l 2 p2 n 4n 2, the total surface area of the

l 2 p2 n 4n 2, the total surface area of the Week 6 Lectures Sections 7.5, 7.6 Section 7.5: Surfce re of Revolution Surfce re of Cone: Let C be circle of rdius r. Let P n be n n-sided regulr polygon of perimeter p n with vertices on C. Form cone

More information

1 The fundamental theorems of calculus.

1 The fundamental theorems of calculus. The fundmentl theorems of clculus. The fundmentl theorems of clculus. Evluting definite integrls. The indefinite integrl- new nme for nti-derivtive. Differentiting integrls. Tody we provide the connection

More information

APPROXIMATE INTEGRATION

APPROXIMATE INTEGRATION APPROXIMATE INTEGRATION. Introduction We hve seen tht there re functions whose nti-derivtives cnnot be expressed in closed form. For these resons ny definite integrl involving these integrnds cnnot be

More information

Pre-Session Review. Part 1: Basic Algebra; Linear Functions and Graphs

Pre-Session Review. Part 1: Basic Algebra; Linear Functions and Graphs Pre-Session Review Prt 1: Bsic Algebr; Liner Functions nd Grphs A. Generl Review nd Introduction to Algebr Hierrchy of Arithmetic Opertions Opertions in ny expression re performed in the following order:

More information

Numerical integration

Numerical integration 2 Numericl integrtion This is pge i Printer: Opque this 2. Introduction Numericl integrtion is problem tht is prt of mny problems in the economics nd econometrics literture. The orgniztion of this chpter

More information

Multi-objective optimization of dielectric layer photonic crystal filter

Multi-objective optimization of dielectric layer photonic crystal filter Optic Applict, Vol. XLVII, No. 1, 017 DOI: 10.577/o170103 Multi-objective optimiztion of dielectric lyer photonic crystl filter HONGWEI YANG *, CUIYING HUANG, SHANSHAN MENG College of Applied Sciences,

More information

The International Association for the Properties of Water and Steam. Release on the Ionization Constant of H 2 O

The International Association for the Properties of Water and Steam. Release on the Ionization Constant of H 2 O IAPWS R-7 The Interntionl Assocition for the Properties of Wter nd Stem Lucerne, Sitzerlnd August 7 Relese on the Ioniztion Constnt of H O 7 The Interntionl Assocition for the Properties of Wter nd Stem

More information

Driving Cycle Construction of City Road for Hybrid Bus Based on Markov Process Deng Pan1, a, Fengchun Sun1,b*, Hongwen He1, c, Jiankun Peng1, d

Driving Cycle Construction of City Road for Hybrid Bus Based on Markov Process Deng Pan1, a, Fengchun Sun1,b*, Hongwen He1, c, Jiankun Peng1, d Interntionl Industril Informtics nd Computer Engineering Conference (IIICEC 15) Driving Cycle Construction of City Rod for Hybrid Bus Bsed on Mrkov Process Deng Pn1,, Fengchun Sun1,b*, Hongwen He1, c,

More information

PART 1 MULTIPLE CHOICE Circle the appropriate response to each of the questions below. Each question has a value of 1 point.

PART 1 MULTIPLE CHOICE Circle the appropriate response to each of the questions below. Each question has a value of 1 point. PART MULTIPLE CHOICE Circle the pproprite response to ech of the questions below. Ech question hs vlue of point.. If in sequence the second level difference is constnt, thn the sequence is:. rithmetic

More information

5.7 Improper Integrals

5.7 Improper Integrals 458 pplictions of definite integrls 5.7 Improper Integrls In Section 5.4, we computed the work required to lift pylod of mss m from the surfce of moon of mss nd rdius R to height H bove the surfce of the

More information