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1 ) ) ( ( (6): ( ) [ 1 ] [ 4 ] [ 2 3 ] [ 5 ] [ 7 ] [ 9 ] : [ 8 ] ; ( ) [ 6 10 ] [13 ] [14 ] [6 ] [9 ] [10 ]

2 39 6 : S R S P 1P 2P nq nq 2Q 1R (2) (P 1P 2Q 2 ) ( T m - 1 T m t = l1 + l2 T m + 1) v 1 v 2 (T m ) (1 S P 1P 2P nq n Q 2Q 1R ) 2 ) ; P 1P 2Q 2 P 1 (x 1 z 1) P 2 (x 2 f (x 2) ) Q 2 (xq zq ) ; z = f (x ) P 2 (x 2 f (x 2) ) ; x ; v 1 v 2 l1 = P 1P 2 = (x 2 - x 1) 2 + (f (x 2) - z 1) 2 1g2 l2 = P 2Q 2 = x Q [1 + x 2 (f (x ) ] 2 ) 1g2 dx 5 t 5 x = x - x 1 + (f (x ) - z 1 ) f (x ) x 2 v 1l - 1 P 2 (x 2 f (x 2) ) 1 x 2 = x 2 + x v 1 v 2 v n ; f 1 (x ) f 2 (x ) f n (x ) (2) x 2 ; S R ; S P 1P 2 P nq n Q 2Q 1R x P 1P 2P 2Q 2 S P 1P 2 P nq n Q 2Q 1R f (x 2) = f (x 2 + x ) = f (x 2) + f (x 2) x f (x 2) = f (x 2 + x ) = f (x 2) + f (x 2) x l : 1 (x 2) = l1 (x 2 + x ) = l1 (x 2) + 5l1 x (3) 5x x 2 = l1 + x 2 - x 1 + (z 2 - z 1 ) f (x 2) x ( l1 - [1 + (f (x ) ) 2 ] 1g2 v 2 (1) = 0 (2) x 2

3 (3) (2) x = v 1l1e1 - c1v 2 v 2d 1 - v 1 (p 1e1 + l1f f ge1) c1 = a 1 + b1f (x 2) d 1 = 1 + (f (x 2) ) 2 + b1f (x 2) e1 = (1 + (f (x 2) ) 2 ) 1g2 l1 = (a b 2 1) 1g2 (4) p 1 = c1 l1 f = f (x 2) f = f (x 2) a1 = x 2 - x 1 ( P 0P 0P 1P 2 b1 = f (x 2) - z 1 P 0P 1P 2) ( 2 Q 1Q 2P 2) - v 1l1e1 - c1v 2 x = v 2d 1 + v 1 (p 1e1 + l1f f (5) ge1) (5) (4) P 1 Q 1 (4) (5) (4) (5) 4a 4b 4a 4b [ 6 ] (3) P 0P 1P 2 P 0P 0P 1P 2 5b 5a ( P 0 P 1 0 ) P 1 ( Edge0 ) P 1 ( Edge1) P 0 P 1 P 0 P 1 P 1 Edge2 P 0 P 0 P 0 P 1 P 0 ( 0 1) P 1P 2 ( 2) 2 (3 3) 3 P 0P 1P 2 P 0P 0P 1P 2 ; ( ) 5a : P 1 P 2 2 4a ( : km gs) ( 3 2) 800m 600m 6 36

4 39 6 : 693 4b 4a ; 24 ( ) 0. 1m [ 1 ]M usgrave A W. S eism ic R ef raction P rosp ecting. N ew Yo rk: Soc Exp l Geophys 1967 [ 2 ]M arsden D ave. Static co rrections a review part I part II part IIİ T he L ead ing E d g e (1 2 3): [ 3 ]T aner M T et al. A unified m ethod fo r 2 2D and 32D refraction staticṡ Geop hy sics : [ 4 ] ( ): a ( : km gs) [ 5 ] (1): m 600m [ 6 ] (2): [ 7 ] (3): [ 8 ] (3): [ 9 ]Xu T et al. B lock modeling and segm entally2iterative ray tracing in com p lex 32D heterogeneou s m edia. Geop hy sics (in p ress) [10 ].. : 1993 [ 11 ].. : [12 ]Gjoystdal H et al. Computer rep resentation of com 2 p lex 32D geo logical structures using a new so lid 5b 5a modeling technique. Geop hy s P rosp ect : m [ 13 ] Pereyra V. Tw o2po int ray tracing in general 32D m edia. Geop hy s P rosp ect : b ( : )

5 g O il Geophysical P ro specting 2004 in the paper and difference and link w ith sequence2 stratigraphy are also discu ssed. O n that basis the paper system atically discu ssed the app lied m echan ism of seism ic ana ly sis of reservo ir evo lu tion and p ractical app lied resu ltṡ Key words: sedim en tary evo lu tion seism ic exp lo ration litho logic seism ic exp lo ration sequence- stratigraphy L ing Y un Research Group BGP CN PC Zhuozhou C ity H ebei P rovince Ch ina W avef ield characters of 2-D ela stic random m ed ium. X i X ian and Yao Yao (6) : T h rough the staggered2grid fin ite2difference f2 o rw ard m odeling of w ave equation the paper m odeled the p ropagation of seism ic w ave in 22D ela st ic random m ed ium and self2excited and self2 received tim e2reco rds; com parison of acou stic w ave w ith ela st ic w ave is m ade in layered random m edium m odel w h ich show ed that bo th have b ig d ifference. In o rder to study the w avefield characters in 22D elastic random m edium m odelw e divided the theo retical reco rds in to th ree differen t tim e segm en ts and com puted th ree statistical cha racterist ist ic va lues of sect ion sep a ra tely in th ree differen t tim e segm en ts: laterally cen tral frequency vertically cen tral frequency and relative value of w avefield energy. T hen co rresponding to each ela st ic random m ed ium m odel 9 d ifferen t w avefield2cha racterized va lues a re ob ta ined by com putation. F inally th rough studying the changed characters co rresponding to characteristic values of w aw efield w hen m edium m odels are changed; the conclu sion that clo sely related the m odel characters ( self2co rrela t ion leng th and roughness of random m edium etc. ) to w avefield characters ( distu rbed frequency and energy of reco rded section etc. ) : the statistic characteristic values of w avefield strongly rely on statistic characters of m edium such as co rrela t ion leng th and roughness etc. ; the seism ic reco rds co rresponding to random m edium m odels a re cha racterized by com p lex w avefield such a s scattered w ave and seism ic w ave tail. Key words: random m ed ium m odel ela st ic w avefield m odeling w avefield cha racter sta t ist ic characteristic value X i X ian D epartm en t of M ath Cen tral Ch ina Science and T echno logy U n iversity W uhan C ity H ubei P rovince Ch ina Sm ear-elim ina ted techn ique of image used for fault detection. L u W en-ka i Zhang Shan-wen and X iao Huan-q in. OGP (6) : D po st2m igration seism ic data vo lum e p rovid2 ed a great num ber of info rm ation fo r seism ic in terp retation. Becau se of influence of apertu re of m igration operato r the im age of 32D seism ic data vo lum e in space is sm eared after m igration w h ich is unfavo rab le fo r detecting the fau ltṡ T herefo re the paper p resen ted u sing sm ear2elim inated techn ique of im age to enhance fau lt info rm ation of 3D seism ic data vo lum e. T he natu re of the m ethod is to take ob served im age as convo lu tion of true im age w ith expan sion function at a po in t and the sm ear2elim inated techn ique of im age is to elim inate the influence of expan sion function at the po in t by m u lti2dim en sion deconvo lu tion then adding coheren t ana ly sis resu lted in h igh2reso lu t ion im age. T he m ethod is of benefit fo r fau lt detection. Key words: fau lt detect ion sm ea r2elim ina ted techn ique of im age coheren t analysis L u W en-ka i Sta te Key L ab of In telligence T echno logy and System D epartm en t of A u tom atics Q inghua U n iversity Beijing C ity Ch ina Refraction ray- trac ing in com plex m ed ium. Xu Tao Xu Guo-m ing Gao Er-gen and J iang X ian-y i. OGP (6) : Starting from 22D layered m edium m odel the p ap er described the theo ry of itera t ive refract ion ray2tracing segm en t by segm en t: as the p rim ary ray2p a th s connect ing sho t2po in t s and receiver po in ts m et Ferm at s p rincip le the ray2path s connecting th ree arb itrary po in ts also m et the Ferm at s p rincip le. A cco rdingly the first2o rder m odified fo rm u la fo r tran sm itted in term ediate po in ts and refracted po in ts is derived and w ho le ray2p a th can be com p u ted fo r refracted ray itera t ively segm en t by segm en ṫ T he first2o rder exp licit m odified increm en t fo rm u la at refracted po in t s of a rb it ra ry in terface is derived and the p rincip le is popularized to the 22D b locky m edium m odel w h ich is u sed to so lve refraction ray2tracing in com p lex m edium that avo ids so lve the h igh2 o rder m u ltivariate equation s and is characteristic of fast com putational speed and su itab le fo r arb itrary in terface. T he paper also po in ted ou t that the rea son s having b igger d ifficu lt ies in b locky m ed ium than in layered m ed ium w hen u sing itera t ive ray2t racing segm en t by segm en t a re in increa sing and delet ing the ray2p a th po in t ṡ T he real case show ed that the m ethod in the paper is an effect ive refract ion ray2t racing m ethod. Key words: b locky m odel ray2t racing refract ion iteration segm en t by segm en t Xu Tao Co llege of Sp ace Science Ch ina Science and T echno logy U n iversity H efei C ity A nhu i P rovince Ch ina

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