ARTICLE

Frequency domain reverse time migration for acoustic-elastic coupled media using the wavefield separation method

SEUNG-GOO KANG1 WANSOO HA2 CHANGSOO SHIN3 JONG KUK HONG1 YOUNG KEUN JIN1
Show Less
1 Division of Polar Earth-System Sciences, Korea Polar Research Institute, KIOST, Incheon 406-840, South Korea.,
2 Department of Energy Resources Engineering, Pukyong National University, Busan 608-737, South Korea. wansooha@gmail.com,
3 Department of Energy Systems Engineering, Seoul National University, Seoul 151-742, South Korea.,
JSE 2016, 25(1), 57–101;
Submitted: 9 June 2025 | Revised: 9 June 2025 | Accepted: 9 June 2025 | Published: 9 June 2025
© 2025 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

Kang, S.-G., Ha, W., Shin, C., Hong, J.K. and Jin, Y.K., 2016. Frequency domain reverse time migration for acoustic-elastic coupled media using the wavefield separation method. Journal of Seismic Exploration, 25: 57-85. Recent research results concerning frequency domain reverse time migration based on the adjoint-state of the acoustic wave equation have highlighted several limitations imposed by the use of an acoustic-based algorithm. In marine seismic exploration, targeted areas are located within elastic media. Elastic wave components, such as S-waves, surface waves and mode converted waves can remain obscured by reverse time migration based on the acoustic wave equation in the targeted media. Several research papers addressing the topic of acoustic-elastic coupled media with full waveform inversion have shown that this method can generate more accurate inversion results for P-wave velocity models than acoustic-based algorithms. This paper formulates the frequency domain reverse time migration for acoustic-elastic coupled media based on the adjoint-state of the wave equation. It goes on to adopt the wavefield separation method to reduce the effects of crosstalk artifacts on migrated images. The validity of the proposed algorithm is demonstrated using a synthetic dataset generated by elastic staggered grid time modeling. The image of the frequency domain reverse time migration for acoustic-elastic coupled media calculated using the wavefield separation method is then compared to the results of the acoustic reverse time migration and reverse time migration for acoustic-elastic coupled media using a conventional zero-lag cross-correlation approach. Comparison of the migration images revealed that the images of acoustic-elastic coupled media from the wavefield separation method resolved geological structures with greater accuracy and exhibited fewer noise-contaminated components than those obtained from the acoustic and conventional acoustic-elastic coupled media imaging methods. We also analyze the reverse time migration method’s sensitivity to correct P- and S-wave inputs and density model assumptions.

Keywords
frequency domain
reverse time migration
acoustic-elastic coupled media
adjoint-state wave equation
marine seismic data
wavefield separation
References
  1. Bae, H.S., Shin, C., Cha, Y.H., Choi, Y. and Min, D., 2010. 2D acoustic-elastic coupled
  2. waveform inversion in the LaPlace domain. Geophys. Prosp., 58: 997-1010.
  3. Baysal, E., Kosloff, D.D. and Sherwood, J.W.C., 1983. Reverse time migration. Geophysics, 48:
  4. 1514-1524.
  5. Choi, Y., Min, D.-J. and Shin, C., 2008. Two-dimensional waveform in- version of multicomponent
  6. data in acoustic-elastic coupled media. Geophysics, 56: 863-881.
  7. Chung, W., Pyun, S., Bae, H.S., Shin, C. and Marfurt, K.J., 2012. Implementation of elastic
  8. reverse-time migration using wavefield separation in the frequency domain. Geophys. J. Int.,
  9. 189: 1611-1625.
  10. Cohen, G.C., 2002. High-Order Numerical Methods for Transient Wave Equations. Springer
  11. Verlag, Berlin.
  12. Kang, S.-G., Bae H.S. and Shin, C., 2012. Laplace-fourier-domain waveform inversion for
  13. fluid-solid media. Pure Appl. Geophys., 169: 2165-2179.
  14. REVERSE TIME MIGRATION 85
  15. Kim, M.H., Choi, Y., Cha, Y.H. and Shin, C., 2009. 2-D frequency-domain waveform inversion
  16. of coupled acoustic-elastic media with an irregular interface. Pure Appl. Geophys., 166:
  17. 1967-1985.
  18. Kim, Y., Min, D. and Shin, C., 2011. Frequency-domain reverse-time migration with source
  19. estimation. Geophysics, 76: $41-S49.
  20. Komatitsch, D., Barnes, C. and Tromp, J., 2000. Wave propagation near a fluid-solid interface: A
  21. spectral-element approach. Geophysics, 65: 623-631.
  22. Lailly, P., 1983. The seismic inverse problem as a sequence of before stack migrations. Expanded
  23. Abstr., Conf. Inverse Scattering: Theory and Application Mathematics: 206-220.
  24. Lee, H., Lim, S., Min, D., Kwon, B. and Park, M., 2009. 2D time-domain acoustic-elastic coupled
  25. modeling: a cell-based finite-difference method. Geosci. J., 13: 407-414.
  26. Lee, J., Kim, Y. and Shin, C., 2012. Frequency-domain reverse time migration using the L,-norm.
  27. J. Seismic Explor., 21: 281-300.
  28. Loewenthal, D. and Mufti, I.R., 1983. Reversed time migration in spatial frequency domain.
  29. Geophysics, 48: 627-635.
  30. Martin, G.S., Marfurt, K.J. and Larsen, S. 2002. Marmousi-2: an updated model for the
  31. investigation of AVO in structurally complex areas. Expanded Abstr., 72nd Ann. Internat.
  32. SEG Mtg., Salt Lake City: 1979-1982.
  33. McMechan, G.A., 1983. Migration by extrapolation of time-dependent boundary values. Geophys.
  34. Prosp., 31: 413-420.
  35. Plessix, R.-E. and Mulder, W.A., 2004. Frequency-domain finite-difference amplitude preserving
  36. migration. Geophys. J. Internat., 157: 975-987.
  37. Pratt, R.G., Shin, C. and Hicks, G.J., 1998. Gauss-Newton and full Newton method in frequency
  38. domain seismic waveform inversion. Geophys. J. Internat., 133: 341-362.
  39. Shin, C., Jang, S. and Min, D., 2001. Improved amplitude preservation for prestack depth migration
  40. by inverse scattering theory. Geophys. Prosp., 49: 592-606.
  41. Shin, C., Min, D.J., Yang, D. and Lee, S.K., 2003. Evaluation of poststack migration in terms of
  42. virtual source and partial derivative wavefields. J. Seismic Explor., 12: 17-37.
  43. Symons, N.P., Aldridge, D.F. and Haney, M.M., 2006. 3D acoustic and elastic modelling with
  44. Marmousi-2. Expanded Abstr., 76th Ann. Internat. SEG Mtg., New Orleans: 2171-2175.
  45. Tarantola, A., 1984. Inversion of seismic reflection data in the acoustic approximation. Geophysics,
  46. 49: 1259-1266.
  47. Virieux, J., 1986. P-SV wave propagation in heterogeneous media: velocity-stress finite-difference
  48. method. Geophysics, 51: 889-901.
  49. Whitmore, N.D., 1983. Iterative depth migration by backward time propagation. Expanded Abstr.,
  50. 53rd Ann. Internat. SEG Mtg., Las Vegas: 382-385.
  51. Xu, K., Zhou, B. and McMechan, G.A., 2010. Implementation of prestack reverse time migration
  52. using frequency-domain extrapolation. Geophysics, 75: S61-S72.
  53. Zienkiewicz, O.C., Taylor, R.L. and Zhu, J.Z., 2005. The Finite Element Method: Its Basis and
  54. Fundamentals. Elsevier, Butterworth-Heinemann, New York.
  55. JOURNAL OF SEISMIC EXPLORATION 25, 87-101 (2016) 87
  56. A LINEARIZED GROUP VELOCITY APPROACH FOR
  57. TWO-POINT qP RAY TRACING IN A LAYERED
  58. ORTHORHOMBIC MEDIUM
  59. P.F. DALEY and E.S. KREBES
  60. Department of Geoscience, University of Calgary, 2500 University Drive, Northwest Calgary,
  61. Alberta, Canada T2N 1N4. pfdaley@gmail.com, krebes@ucalgary.ca
  62. (Received August 20, 2015; revised version accepted November 27, 2015)
  63. ABSTRACT
  64. Daley, P.F. and Krebes, E.S., 2016. A linearized group velocity approach for two-point qP ray
  65. tracing in a layered orthorhombic medium. Journal of Seismic Exploration, 25: 87-101.
  66. Using a linearized approximation for the quasi-compressional phase velocity, vip in an
  67. orthorhombic anisotropic medium, which is a subset of the related quasi-compressional (qP) wave
  68. propagation in a general 21 parameter anisotropic medium, a linearized compressional group velocity
  69. may be derived as a function of group angles only. In addition, linearized analytic expressions for
  70. the components of the slowness vector in terms of group velocities and angles are also obtained.
  71. These expressions are used to define two nonlinear equations which are a generalization of Snell’s
  72. Law. The solutions of these are used to determine the propagation directions of the reflected and
  73. transmitted rays due to an incident ray at an interface between two orthorhombic media. The axes
  74. of anisotropy, in both media are, in general, not aligned with the interface separating them.
  75. Computer code has been written to consider ray tracing in media defined by a type of large scale
  76. 3D finite element blocking (blocky structures). However, a plane parallel layered medium will be
  77. used in preliminary investigations. Additionally, in each of these elements (layers) the anisotropic
  78. parameters are initially assumed to be constant, although provisions for at least minimal spatial
  79. variations of the anisotropic parameters have been considered.
  80. KEY WORDS: orthorhombic media, two-point ray tracing, group velocity,
  81. layered anisotropic media.
  82. INTRODUCTION
  83. In the geophysical literature related to wave propagation in anisotropic
  84. media, specifically quasi-compressional qP waves in a medium displaying
  85. orthorhombic symmetry, a linearized approach to derive an approximate phase
  86. velocity expression for quasi-compressional qP wave propagation has been
  87. presented in Backus (1965) and more recently by Pseneik and Farra (2005).
  88. 0963-065 1/16/$5.00 © 2016 Geophysical Press Ltd.
  89. 88 DALEY & KREBES
  90. These and other methods, such a perturbation theory, have been employed
  91. to formulate expressions for quantities related to the propagation of qP waves
  92. as well as for the two shear wave modes, qS, and qS,, in a general 21 parameter
  93. anisotropic medium (Every, 1980; Every and Sachse, 1992; Jech and PSenéik,
  94. 1989; Pseneik and Gajewski, 1998; Song and Every, 2000; Song et al., 2001;
  95. Pseneik and Farra, 2008). Once linearized phase velocity approximations have
  96. been obtained, eikonal equations with comparable accuracy may be written.
  97. From these, using the method of characteristics, (Courant and Hilbert, 1962;
  98. Cerveny, 2002) the formulae for the vector components of group velocity may
  99. be obtained.
  100. Employing an extension of this method of approximation, Daley and
  101. Krebes (2006) obtained expressions for the qP group velocities in an
  102. orthorhombic anisotropic medium, expressed in terms of group angles. It was
  103. further shown that for a weakly anisotropic medium the average deviation of this
  104. approximation from the exact expression for the qP group velocity, in an
  105. orthorhombic medium, over a range of polar angles for a number of azimuths,
  106. ®, was of the order of a few percent, for media that could be classified as
  107. weakly anisotropic. The expression for the qP group velocity was also compared
  108. with the linearized qP group velocity expressions obtained using the First Order
  109. Ray Tracing (FORT) method presented in Pseneik and Farra (2005), with
  110. similar accuracy, for an orthorhombic medium. For this reason it was chosen
  111. for use in preliminary ray tracing procedures where speed, together with
  112. reasonable accuracy, was required.
  113. It will be convenient to first consider the case where the anisotropic
  114. parameters and orientation of anisotropy are assumed constant within any finite
  115. element. What is required to be determined is an analogue of Snell’s Law at the
  116. plane interface between two adjacent elements. Within the context of
  117. 'two-point' ray tracing this topic will be treated in what follows for an
  118. orthorhombic anisotropic medium.
  119. THEORETICAL BACKGROUND
  120. The linearized quasi-compressional (qP) phase (wavefront normal)
  121. velocity, v,p(n,), in an orthorhombic medium may be written in Voigt notation,
  122. where the density (po) normalized stiffness coefficients, A, j = Gio, Gj =
  123. 1,2,...,6) have the dimensions of velocity squared, as
  124. vo) = Anni + A22n3 + Am + E,ning + Einin3 + E, nny , (1)
  125. Nn = (N,,M),N;) = (sindcos¢,sindsing,cosé) , (2)
  126. LINEARIZED GROUP VELOCITY APPROACH 89
  127. (Backus, 1965; Daley and Krebes, 2006) where (6,) are the polar and
  128. azimuthal angles associated with the phase or wavefront normal velocity, vp.
  129. The E;, are the anellipsoidal terms, specifying the deviation of the slowness or
  130. ray surface from the ellipsoidal in the 'i j' symmetry plane, (i j = 12,13,23).
  131. Their definitions are as follows
  132. Ey = (An + 2Ag6) 一 (An + An) , @)
  133. E,3 in 2(Ai 還 2Ass) ot (Ay aie A33) 2 (4)
  134. E = 2(A2 + 2Ay) 一 (An + Ay) . 6)
  135. These expressions may be compared to those given for an arbitrary anisotropic
  136. orthorhombic medium and presented in Gassmann (1964) or Schoenberg and
  137. Helbig (1996) as an indication of the how linearization simplifies the phase
  138. velocity expression.
  139. The 3D phase velocity propagation direction vector, n, is defined by
  140. eq.(2). The related slowness vector in terms of these quantities is of the form
  141. P 三 (pi,pz,p3) = tni/vup(no9],[n2/vuop(ng],[ns/vop(ng]) (6)
  142. It was shown in Daley and Krebes (2006) that the slowness vector p, for
  143. the qP case may be further approximated for the linearized case and written in
  144. terms of group velocity quantities, those being the azimuth and polar ray angles
  145. # and ©, and the group/ray velocity, V,»(0,®), as
  146. P 三 (pi,p2,p3) = {IN, Vae(Nd/Ari]s[N2Vgp(N,)/Aoo] 5IN3Vgp(N,)/Aga] } : (7)
  147. In the above N is the orthonormal group (ray) vector defined by
  148. N = (N,,N,N3) = (sinOcos®,sinOsin®,cos@) . (8)
  149. It is along the ray that energy propagates from one point in a medium to
  150. another. The linearized group velocity expression for a qP ray in an
  151. orthorhombic medium is given by the formula
  152. [LVap(N] = (NVAD + (N3/A22) + (N3/Ag3)
  153. 一 (EnN3N3/AyAg9) 一 (ENIN3ANAs) 一 (ExsNiN3/An As), (9)
  154. with the E;; being previously defined in eqs. (3)-(5). Eq. (9) may be expressed
  155. in terms of (8,®) using eq. (8).
  156. 90 DALEY & KREBES
  157. As the slowness vector p = (p;,P2,P3) is assumed to be known, the sines
  158. of the group angles (fi = sinO, & = sin®) will be used as an alternate
  159. parameterization of group velocity and related quantities. In the ellipsoidal case
  160. (E,. = EE = E,; = 0) fi and &, may be obtained analytically as
  161. £, = (p,/ps)[(cos*&/Aj,) + (sin?&/A3,)]-“/A3,
  162. x {1 + (p,/p3)[(cos?@/Aj,) + (sin?/A5,)] V/A}, (10)
  163. and
  164. &) = (A22pz/AiipD/[1 + (A2p2/Anp0 和 - (11)
  165. The radial component of the slowness vector, p, ,is defined as
  166. P, = (pt + ps)” . (12)
  167. The relationship between the phase angles (0,¢) and the group angles
  168. (8,®) in the ellipsoidal case are calculated by equating individual components
  169. in eqs. (6) and (8) which are used to derive eqs. (10)-(12).
  170. SNELL’S LAW ANALOGUE
  171. Given a three dimensional slowness surface that may be rotated at any
  172. orientation with respect to the model axis system, it would be expected that
  173. Euler Angles be introduced. However, as one of the motivations for this work
  174. is to introduce 3D ray tracing in an orthorhombic anisotropic medium in the
  175. simplest possible manner, this will not be done. When more complex ray tracing
  176. methods (comparatively) are addressed, such as FORT, this will be necessary.
  177. As the slowness vector in terms of phase angles and velocities is not used here,
  178. one level of theoretical and numerical complexity has been removed, allowing
  179. for the subsequent formulation.
  180. Two orthorhombic media in welded contact are separated by a plane
  181. boundary with the axes of anisotropy in both the upper (1) and lower (2)
  182. medium being aligned with some Cartesian model coordinates system within
  183. which the plane boundary is parallel to the horizontal (x,,x,) model coordinate
  184. plane. As previously mentioned, this is a very simplistic problem type, but once
  185. solved may be extended to more complex geometries with minimal effort.
  186. Given that the incident ray angles (©,,6;) are known it is required to
  187. determine the ray angle and magnitude of the ray velocity for either the
  188. reflected ray in the upper medium or the transmitted ray in the lower medium.
  189. Specifically, the two horizontal components of the slowness vector, ph = (pi,p2)
  190. LINEARIZED GROUP VELOCITY APPROACH 91
  191. at the point of incidence at an interface, measured with respect to the model
  192. coordinates, are required to be determined. Once this is done, the third
  193. component of the slowness vector, p3, follows. It has been initially assumed that
  194. the plane interface is aligned with the model coordinate axes as are the qP
  195. slowness surfaces in both media. As a consequence of these assumptions, the
  196. projections of the slowness surface onto the pip and pyp planes may be
  197. realized. From eq. (7), the continuity of the horizontal components of the
  198. slowness vector may be stated in terms of (£,,£) by the two equations
  199. Fi(E1,8) = prAn — £1 — &)'Vep(E.£) = 0 , (13)
  200. B,(E,,8) = pA» 一 £,£,Vap(E1.62) = 0 . (14)
  201. These coupled nonlinear equations are required to be solved numerically.
  202. For coupled equations of this type Newton’s Method, or some variant, would
  203. be a reasonable choice as a solution method, the standard formulation of which
  204. is given here for completeness,
  205. Ea = Ee = FYE E19 (E.£)17' > (15)
  206. where & = (go FE.) = ([F(E..£2),.Fo(E.,€)] and the Jacobian
  207. $.(E1,£2), is defined as
  208. aF,/dé, 9F,/dé,
  209. $(E,E) = 1 (16)
  210. aF,/dé, OF,/de, |,
  211. Its inverse is given by
  212. aF,/dE, —OF,/dé,
  213. [SG = (1/D,) (17)
  214. —dF,/aé, dF,/aé, |,
  215. D, = [(0F,/0&,)(6F,/0&,) 一 (OF,/0E,)(OF,/0E,)], « (18)
  216. The superscripts 'T' and '—1' indicate transpose and inverse, respectively.
  217. The partial derivatives of Fi(g,,g,),G = 1,2) with respect to fi and #
  218. analytic expressions for the partial derivatives of Vap(E 1,2) with respect to &,
  219. and £, are given in the Appendix. The initial 'guesses' for the two components
  220. of the quantity £) may be found using the ellipsoidal (degenerate) eqs. (10) and
  221. (11). Once = (&,,£,) has been determined to within a specified tolerance, the
  222. group velocity and as a result, the three components of the slowness vector in
  223. the medium of reflection or transmission, may be determined using eqs. (7).
  224. 92 DALEY & KREBES
  225. SNELL’S LAW ANALOGUE AT A PLANE INTERFACE WHERE THE
  226. AXES OF ANISOTROPY ARE NOT ALIGNED WITH THE INTERFACE
  227. For this problem, it is assumed that the slowness vector p, relative to the
  228. model coordinates is known. To solve the problem, that is to determine the
  229. polar ray angles (0,®) relative to the model coordinates, the angles in the
  230. rotated system (0' = 9 十 Y, 6’ = 6+) must be determined, under the
  231. assumption that the polar and azimuthal rotation angles (y,{ are also known.
  232. The primed angles define the slowness vector, p’, in the rotated coordinate
  233. system and the angle pair (y,{) specifies the relationship between (0,®) and
  234. (0',8').
  235. With pi = (pi,p2) known, a system of nonlinear equations in terms of :|
  236. and &5 is required to be determined where
  237. Ei
  238. sin(O+y) = sin9' , (19)
  239. and
  240. sin(@+) = sin’ . (20)
  241. The following nonlinear system is, apart from the 'primed' notation, the
  242. same as that for the unrotated (unprimed) case and may be solved in a similar
  243. manner.
  244. Fi = PiAn 一 Van — &°)* = 0 , (21)
  245. FA(E1.£2) = prAn 一 Vgr(EEdelEs 一 0 (22)
  246. What is required to solve this system using numerical methods is initial
  247. estimates for Ki and 3. This, as previously done, may be accomplished by
  248. assuming the ellipsoidal case and solving for (gap_and (£%).ui, using the
  249. sequence of eqs. (10)-(12) in the 'primed' system. As the system of nonlinear
  250. equations above is essentially the same as the unrotated problem, the solution
  251. for this case follows.
  252. Once (£;,&3) has been determined, the three components of the slowness
  253. vector in the primed system may be obtained. Given that the vector p’ is
  254. known, p may be obtained using the inverse of the rotational transforms given
  255. by eqs. (19) and (20).
  256. It should be noted that the orientation of the local vertical axis in both
  257. slowness space and ray space must be taken in the proper sense as a reflected
  258. and transmitted ray and slowness vertical component of each individual vector
  259. have different signs. It is often better to do away with the signs and measure the
  260. angles as acute with respect to either the positive or negative direction of the
  261. vertical axis and one of the horizontal axes in model coordinates.
  262. LINEARIZED GROUP VELOCITY APPROACH 93
  263. RAY TRACING METHOD
  264. Assume a medium composed of N plane parallel homogeneous anisotropic
  265. layers where both the source and receiver are located at the surface. The source
  266. is situated at the origin of a Cartesian system aligned with the plane layered
  267. medium, with the vertical Cartesian axis, x,, chosen to be positive downwards.
  268. A description of unconverted qP ray propagation is given by the two coupled
  269. nonlinear equations in terms of fi and &, as
  270. M
  271. Riog) = 1 -@DI' — Y (nthe jl - ED '1 - 41}
  272. j=l
  273. M
  274. ~ Y faye) EI- ET = 0 , (23)
  275. R2(Gnog2) = rt 一刻 Ef} E01 — EDI}
  276. j=l
  277. M
  278. = » {njh(E)j(E)/-EDi4} = 0 , (24)
  279. where M(M < N) is the deepest layer traversed by the ray. The integers n, are
  280. the number of P-ray segments in the j-th layer, with the superscripts '个 ' and
  281. ')' indicating whether the ray segment(s) are upward or downward
  282. propagating. As upward and downward propagating ray segments within a layer
  283. do not generally make the same angle with vertical or horizontal axes they are
  284. considered separately. The thickness of the j-th layer is taken to be h;. What
  285. should be noted in eqs. (23)-(24) is that there are no 'primes' on the gi (i =
  286. 1,2). However, they are implied by the use of the 't' and '4' notation. The
  287. angle ®..(Es)ures(1 — (ED) fue) “] is the angle measured in a positive (clockwise)
  288. direction relative to the x, axis from the source to a receiver on the surface at
  289. r = (xi,x§), with r = |r|.
  290. Embedded in these two equations are the two coupled nonlinear equations
  291. for the analogue of Snell’s Law discussed in an earlier section. Thus, this
  292. 'two-point' ray tracing scheme is quite computationally intensive. The method
  293. or methods used in the solution of these numerical problems include those of
  294. Newton among others. The technique chosen is usually based on previous
  295. experience. It should however be capable of dealing with more complex
  296. situations, a detail to be kept in mind when devising the ray tracing code. In the
  297. next section examples will be presented.
  298. Finally, the traveltime along the ray may also be written in terms of the
  299. sines [(é;)''(i = 1,2), j=1, M) of the angles (Of', 1', j=1, M) as
  300. 94 DALEY & KREBES
  301. M
  302. EDGED] = Y nthy{l 一 LEDPPP} VIED} ED
  303. j=l
  304. M
  305. + Vinth/{1 — [€ PP} VIELE . 5)
  306. j=l
  307. COMMENTS ON THE SOLUTION AND NUMERICAL RESULTS
  308. The problem discussed here may be approached in a number of ways,
  309. depending on what the ray tracing code is being used for. It will be assumed
  310. that ray tracing for the purposes of synthetic seismogram production,
  311. Born-Kirchhoff migration or some related task is being considered.
  312. The 3D ray tracing algorithm for qP rays in an orthorhombic anisotropic
  313. medium is reasonably complex. However, for it to be used in a productive
  314. manner, a relatively sophisticated model building program is an essential
  315. addition. In 2D, a grid with all of the anisotropic parameters, together with
  316. other required quantities, could be specified at each node of this grid. At
  317. present, a realistic 3D grid is not an option unless top level computer hardware
  318. is available. Few persons would have access to this current generation of 'super
  319. computers'. A reasonably fast laptop with 2 - 4 gigabytes of memory should be
  320. adequate if the model is specified as a 'blocky type structure', composed of
  321. slabs or wedges or other similar types of constituents, separated by plane
  322. interfaces. For some applications these interfaces may be smoothed, but the ray
  323. tracing program should be written to handle jump discontinuities in the
  324. anisotropic parameters defining each of the blocks in the model. Although these
  325. types of model building programs exist, obtaining a freeware type is not as easy
  326. as might be expected. Those which are in the public domain usually require
  327. more than a minimum of effort to be of use for an existing ray tracing program.
  328. It is highly advisable to choose and become acquainted with one of these and
  329. then proceed to write the ray tracing code. It should not have to be mentioned
  330. that the possibility of errors in these types of codes is high. Additionally, the
  331. known 3D model building software requires at least one, usually two, licensed
  332. numerical software packages, which introduces more inconveniences. If
  333. alternatives in the public domain are used to replace the equivalent of the
  334. licensed packages, integrating these into the model building code can produce
  335. another source of error as well as an increased development time. This leaves
  336. the preferable option of spending the time to write one’s own (not an
  337. insignificant undertaking).
  338. The ray tracing described here is computationally fast. Most of the time
  339. required is iterating to a solution, which increases if bad initial guesses are used.
  340. LINEARIZED GROUP VELOCITY APPROACH 95
  341. Consequently, shooting the initial ray of a linear sequence at near vertical
  342. incidence is done followed by considering a line of receivers, increasing in
  343. distance at polar angle increments from the origin, at a constant azimuth. This
  344. is applicable to both offset shooting and shooting to some reference depth.
  345. In the first example considered here a plane layered three layer model is
  346. used. The surface layer is chosen to be isotropic. Layer two has an
  347. orthorhombic type structure similar to olivine, with the third layer being an
  348. orthorhombic sandstone type medium. In layer 2 the symmetry axes are not
  349. aligned with 'model coordinates' but rather rotated about the vertical axis by
  350. an angle '®,,, = 30°', measured from the positive x,-axis. In the third layer,
  351. a rotation of the ray (slowness) surface(s) of “Or = 15°' about the x,-axis is
  352. introduced.
  353. Two-point ray tracing which varies somewhat from that described in the
  354. text is first considered. Rather than solve for Of and @}', (Gj = 1,2,3), the
  355. parameters used are @}' (j = 1,2,3) and offset. This was done so that the &!*
  356. (j = 1,2,3) could 'float' to provide an indication of how the azimuthal rotation
  357. in the second layer affects the arrival at the surface receivers, which are a fixed
  358. distance apart. Put another way, what is done here is to keep the azimuthal
  359. phase angle constant for a given ray, maintain a constant receiver spacing and
  360. solve for the polar ray angle.
  361. Three views of this is given in Fig. (1). The scale varies along all axes
  362. in the figure to produce plots that are easily viewed. It should be noted that
  363. proper ray 3D plotting software could significantly enhance the presentation of
  364. results. A similar plot for a number of azimuths is given in Fig. (2). Again, the
  365. ray azimuthal angles, in each layer, along each ray, are not used as solution
  366. parameters. The anisotropic parameters used are given in Tables 1 and 2. Next,
  367. a ray tracing problem is considered in which the polar and azimuthal ray angles
  368. in each layer and along each ray, together with the distance between the surface
  369. located source and receivers are required to satisfy certain conditions. This is
  370. the type of ray tracing which was discussed in this paper. Upon viewing Fig.3,
  371. where results are presented for this case, it may be seen that the progression of
  372. the receiver location describes a straight line from the source to the furthest
  373. offset.
  374. An alternate example uses the same model as in the previous case and the
  375. 'two-point' ray tracing described in the text is used. Here a number of azimuths
  376. are chosen and the rays are computed from a source located at the surface down
  377. to some reference depth (Fig. 4). The motivation for this is that there are
  378. occasions in seismic processing when a 'time to depth' map is useful. If the
  379. coverage is sufficient the computed data may be used in migration programs.
  380. Usually, the coverage must be enhanced which may be done using any number
  381. of methods or strategies. The pursuit of these is beyond the scope of this work.
  382. 96 DALEY & KREBES
  383. Fig. 1. Three layer model. The first layer is isotropic, the second layer is orthorhombic with a
  384. rotation in the x - y plane about the z-axis and the third layer is also orthorhombic with a rotation
  385. in the x - z plane. The line shot is very close to two-point ray tracing, requiring some minor
  386. tweaking. The analogue of Snell’s Law at an interface is a system of two coupled nonlinear equation
  387. in two unknown angles (sines of the transmitted or reflected angles). The x- and y-axes in the three
  388. panels have different scaling to enhance the effects of the rotations of the orthorhombic ray surfaces.
  389. The line is shot at an angle of 70 degrees with respect to the x-axis. The modified two-point ray
  390. tracing algorithm consists of two coupled nonlinear equations in two unknown angles per layer in
  391. which is embedded the other nonlinear equation set for Snell’s Law. Different scaling parameters
  392. are used on three panels to improve visibility.
  393. LINEARIZED GROUP VELOCITY APPROACH 97
  394. Table 1. The anisotropic parameters (density normalized stiffnesses) in the three layers in Voigt
  395. notation. The A,, have the dimensions of velocity squared (km’/s’).
  396. An An As Aw As Ac An An As
  397. 00 7.00 7.00 2.50 2.50 2.50 2.00 2.00 2.00
  398. 900 6.023 7.093 1.964 2.448 2.438 1.926 2.074 2.225
  399. 00 9.84 5.94 2.00 1.60 2.18 3.60 2.25 2.40
  400. Table 2. The anellipsoidal parameters in the three layers. The E;; have the dimensions of velocity
  401. squared (km’/s*) and are defined in terms of the Aij using eqs. (3)-(5) in the text.
  402. Eu En Ey
  403. 0 0.0 0.0
  404. 一 2.319 一 3.053 一 0.81
  405. —3.92 一 5.04 一 2.98
  406. 4 3
  407. 2 3
  408. aren x (®=0)
  409. Fig. 2. Three layer model. The model used is the same as that in Fig. 1, except that a number of
  410. quasi-azimuthal lines are displayed. The modified ray tracing procedure using the polar angle © and
  411. a fixed distance between adjacent receivers are again used as the dependent variables.
  412. 98 DALEY & KREBES
  413. *x(@=0)
  414. Fig. 3. Three layer model. The model used is the same as that in Fig. 2, except that the polar angle
  415. © and azimuthal angle ® are used as the dependent variables. The surface receivers for some
  416. azimuthal line are now in a straight line at the surface.
  417. CONCLUSIONS
  418. The basic formulae and solution method for tracing quasi-compressional
  419. (qP) rays in a plane layered orthorhombic anisotropic medium where the axes
  420. of anisotropy (polar and azimuthal) in any of the layers may be rotated with
  421. respect to the general Cartesian coordinate system have been presented. A
  422. linearized form of the qP ray velocity is used for this. Proceeding in this manner
  423. removes one 'level' of nonlinear equations. Included in this discussion is a
  424. presentation of an analogue of Snell’s Law for reflected and transmitted rays at
  425. an interface separating two layers. In general, the 'two-point' ray tracing
  426. problem consists of two nonlinear equations (Snell’s Law) embedded in two
  427. nonlinear (qP) ray tracing equations. Writing the shear ray velocities as is done
  428. for the qP group velocity does not present itself in a manner as that for the qP
  429. case. Obtaining accurate group velocity expressions for the two possible shear
  430. wave modes is also a fairly complex undertaking.
  431. LINEARIZED GROUP VELOCITY APPROACH 99
  432. = 7/2)
  433. y(®
  434. x(D =0)
  435. Fig. 4. Three layer model. In this case what is wanted is time to some reference depth. A sampling
  436. of three azimuths are shown. The anisotropic parameters describing the layers are given in Tables
  437. 1 and 2.
  438. 100 DALEY & KREBES
  439. ACKNOWLEDGEMENTS
  440. The first author wishes to thank the sponsors of CREWES and NSERC
  441. (Professor G.F. Margrave, CRDPJ 379744-08) for financial support in
  442. undertaking this work.
  443. REFERENCES
  444. Backus, G.E., 1965. Possible forms of seismic anisotropy of the uppermost mantle under oceans.
  445. J. Geophys. Res., 70: 3429-3439.
  446. Courant, R. and Hilbert, D., 1962. Methods of Mathematical Physics, Vol. II: Partial Differential
  447. Equations. Interscience Publications, New York.
  448. Cerveny, V., 2002. Seismic Ray Theory., Cambridge University Press, Cambridge.
  449. Daley, P.F. and Krebes, E.S., 2006. Quasi-compressional group velocity approximations in a
  450. weakly anisotropic orthorhombic medium. J. Seismic Explor., 14: 319-334.
  451. Every, A.G., 1980. General closed-form expressions for acoustic waves in elastically anisotropic
  452. solids. Phys. Rev. B, 22: 1746-1760.
  453. Every, A.G. and Sachse, W., 1992. Sensitivity of inversion algorithms for recovering elastic
  454. constants of anisotropic solids from longitudinal wavespeed data. Ultrasonics, 30: 43-48.
  455. Farra, V. and Pgen¢ik, I., 2008. First-order ray computations of coupled S waves in inhomogeneous
  456. weakly anisotropic media. Geophys. J. Internat., 173: 979-989.
  457. Gassmann, F., 1964. Introduction to seismic travel time methods in anisotropic media. Pure Appl.
  458. Geophys., 58: 63-112.
  459. Jech, J. and P&enéik, I., 1989, First order perturbation method for anisotropic media. Geophys. J.
  460. Internat., 99: 369-376.
  461. Pseneik, I. and Gajewski, D., 1998. Polarization, phase velocity and NMO velocity of qP waves
  462. in arbitrary weakly anisotropic media. Geophys., 63: 1754-1766.
  463. P&encik, I. and Farra, V., 2005. First-order ray tracing for qP waves in inhomogeneous weakly
  464. anisotropic media. Geophysics, 70: D65-D75.
  465. Schoenberg, M. and Helbig, K., 1996. Orthorhombic media: Modeling elastic wave behavior in a
  466. vertically fractured earth. Geophysics, 62: 1954-1974.
  467. Song, L.-P. and Every, A.G., 2000. Approximate formulae for acoustic wave group slowness in
  468. weakly orthorhombic media. J. Phys. D: Appl. Phys., 33: L81-L85.
  469. Song, L.-P., Every, A.G. and Wright, C., 2001. Linearized approximations for phase velocities of
  470. elastic waves in weakly anisotropic media. J. Phys. D: Appl. Phys., 34: 2052-2062.
  471. LINEARIZED GROUP VELOCITY APPROACH 101
Share
Back to top
Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing