Prestack migration velocity analysis based on simplified two-parameter moveout equation
Chen Hai-Feng1, Li Xiang-Yang1,2,3,4, Qian Zhong-Ping1, Song Jian-Jun1, and Zhao Gui-Ling1
1. BGP Inc., CNPC, Zhuozhou 072751, China.
2. State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China.
3. CNPC Key Laboratory of Geophysical Prospecting, China University of Petroleum (Beijing), Beijing 102249, China.
4. Edinburgh Anisotropy Project, British Geophysical Survey, Edinburgh, U. K.
Abstract:
Stacking velocity VC2, vertical velocity ratio γ0, effective velocity ratio γeff, and anisotropic parameter χeff are correlated in the PS-converted-wave (PS-wave) anisotropic prestack Kirchhoff time migration (PKTM) velocity model and are thus difficult to independently determine. We extended the simplified two-parameter (stacking velocity VC2 and anisotropic parameter keff) moveout equation from stacking velocity analysis to PKTM velocity model updating and formed a new four-parameter (stacking velocity VC2, vertical velocity ratio γ0, effective velocity ratio γeff, and anisotropic parameter keff) PS-wave anisotropic PKTM velocity model updating and process flow based on the simplified two-parameter moveout equation. In the proposed method, first, the PS-wave two-parameter stacking velocity is analyzed to obtain the anisotropic PKTM initial velocity and anisotropic parameters; then, the velocity and anisotropic parameters are corrected by analyzing the residual moveout on common imaging point gathers after prestack time migration. The vertical velocity ratio γ0 of the prestack time migration velocity model is obtained with an appropriate method utilizing the P- and PS-wave stacked sections after level calibration. The initial effective velocity ratio γeff is calculated using the Thomsen (1999) equation in combination with the P-wave velocity analysis; ultimately, the final velocity model of the effective velocity ratio γeff is obtained by percentage scanning migration. This method simplifies the PS-wave parameter estimation in high-quality imaging, reduces the uncertainty of multiparameter estimations, and obtains good imaging results in practice.
Chen Hai-Feng,Li Xiang-Yang,Qian Zhong-Ping et al. Prestack migration velocity analysis based on simplified two-parameter moveout equation[J]. APPLIED GEOPHYSICS, 2016, 13(1): 135-144.
[1]
Akalin, M. F., Muhamad, A.A., Tan, Y.C., et al., 2014, 3D-PS converted waves - solving 3D-imaging challenges under gas clouds - offshore Malaysia: 76th EAGE Conference & Exhibition, Extended Abstracts, Tu D202 03.
[2]
Calderon, J., Ovalles, A., and Reveron, J., 2013, Lithology discrimination using 3D3C seismic data in the Faja Petrolifera del Orinoco, Venezuela: 75th Annual International Meeting, SEG, Extended Abstracts, Th-P03-03.
[3]
Dai, H., and Li, X. Y., 2005, Accuracy of a simplified moveout formula for PS converted-waves in multi-layered media: 75th Annual International Meeting, SEG, Expanded Abstracts, 1010−1014.
[4]
Dai, H., and Li, X. Y., 2006, The effects of migration velocity errors on traveltime accuracy in prestack Kirchhoff time migration and the image of PS converted waves: Geophysics, 71(2), S73−S83.
[5]
Dai, H., and Li, X. Y., 2007a, Velocity model updating in prestack Kirchhoff time migration for PS converted waves Part I-Theory: Geophysical Prospecting, 55(4), 525−547.
[6]
Dai, H., and Li, X. Y., 2007b, Velocity model updating in prestack Kirchhoff time migration for PS converted waves Part II-Application: Geophysical Prospecting, 55(4), 549−559.
[7]
Dai, H., and Li, X. Y., 2008, Effect of errors in the migration velocity model of PS-converted waves on traveltime accuracy in prestack Kirchhoff time migration in weak anisotropic media: Geophysics, 73(5), S195−S205.
[8]
Dai, H., and Li, X. Y., 2010, A revised two-parameter moveout equation of PS converted-waves in VTI media: 80th Annual International Meeting, SEG, Expanded Abstracts, 248−251.
[9]
Davis, T. L., Benson, R. D., Wehne, S., et al., 2012, Multi-component time-lapse seismic reservoir characterization of the morrow a-sandstone, Postle Field, Oklahoma: 74th EAGE Conference & Exhibition, Extended Abstracts, P135.
[10]
Donati, M., Piazza, J.L., Vanneste, S., et al., 2014, 3D3C Multicomponent seismic - a successful fracture characterization case study in Algeria-project general overview: 84th Annual International Meeting, SEG, Expanded Abstracts, 1853−1857.
[11]
Kendall, R., 2012, Monitoring cap rock integrity and stress criticality using 4D multicomponent seismic: 74th EAGE Annual Meeting, Extended Abstracts, P133.
[12]
Li, X. M., Chen, S. Q., and Li, X. Y., 2013, The analysis and application of simplified two-parameter moveout equation for C-waves in VTI anisotropy media: Applied Geophysics, 10(4), 477−487.
[13]
Li, X. Y., and Yuan, J., 2001, Converted-wave imaging in inhomogeneous, anisotropic media: Part I-Parameter estimation: 63rd EAGE Annual Meeting, Extended Abstracts, P109.
[14]
Li, X. Y., and Yuan, J., 2001, Converted-wave imaging in inhomogeneous, anisotropic media: Part II-Prestack migration: 63rd EAGE Annual Meeting, Extended Abstracts, P114.
[15]
Li, X. Y., and Yuan, J., 2003, Converted-wave moveout and conversion-point equations in layered VTI media revisited: Theory and applications: Journal of Applied Geophysics, 54, 297−318.
[16]
Li, X. Y., and Yuan, J. X., 2005a, Converted-wave seismology in anisotropic media revisited, Part 1: Basic theory: Applied Geophysics, 2(1), 26−39.
[17]
Li, X. Y., and Yuan, J. X., 2005b, Converted-wave seismology in anisotropic media revisited, Part 2: Application to parameter estimation: Applied Geophysics, 2(3), 153−167.
[18]
Miao, X., and Zuk, T., 2006, Anisotropic velocity updating for converted-wave prestack time migration: 76th Annual International Meeting, SEG, Expanded Abstracts, 1158−1162.
[19]
Slotboom, R. T., Eaton, D. W., and Lawton, D. C., 1990, Improving converted-wave (P-S) moveout estimation: CREWES, Research Reports, Calgary.
[20]
Tessmer, G., and Behle, A., 1988, Common reflection point data-stacking technique for converted waves: Geophysical Prospecting, 36(7), 671−688.
Yang, J., Ning, B., Chen, Y., et al., 2014, Converted-wave imaging technology and application to carbonate fractured-cavern bodies: 84th Annual International Meeting, SEG, Expanded Abstracts, 1924−1928.
[23]
Yang, W., Wang, X., Bian, D., et al., 2015, Converted-wave Velocity Modeling Method of Ultra Deep Carbonate Reservoir in Western China: 77th EAGE Conference & Exhibition, Extended Abstracts, Tu N116 08.
[24]
Zhang, L. Y., Wang, Y. C., and Pei, J. Y., 2015, Three-component seismic data in thin interbedded reservoir exploration: Applied Geophysics, 12(1), 79−85.