3D seismic slope tomography based on depth weighting
TIAN Kun1(), WANG Chang-Bo1, LIU Li-Bin1, ZHANG Jian-Zhong2
1. Geophysical Research Institute,Shengli Oilfield Branch Company of Sinopec,Dongying 257022,China 2. College of Marine Geosciences,Ocean University of China,Qingdao 266000,China
The seismic slope tomography is an effective method for building macro-velocity models using the travel time and slopes of locally coherent events of reflected waves.For data with low signal-to-noise ratios,the deep effective reflection wave data that can be picked are often far fewer than the shallow reflection wave data,resulting in a poor tomographic inversion effect of the velocity of the deep strata.Therefore,this study proposed a 3D seismic slope tomography method based on depth weighting.In the linear tomographic inversion equation of each iteration,the depth weighting was performed for the kernel function of the observed data on the node velocity of the discrete model.The weighting coefficient was determined according to the node depth of the discrete model and the reflection point depth of each shot-detection pair of the current iteration,increasing the constraining effect of deep reflection wave data on the deep velocity.Meanwhile,the shallow velocity was mainly constrained by the shallow reflection wave data.As a result,the inversion effect of deep velocity could be improved while maintaining the inversion precision of shallow velocity.The application and tests of both theoretical model data and actual data yielded satisfactory results,verifying the effectiveness of the method.
Billette F, Lambaré G. Velocity macro-model estimation from seismic reflection data by stereotomography[J]. Geophysical Journal International, 1998, 135(2):671-690.
doi: 10.1046/j.1365-246X.1998.00632.x
[2]
Billette F, Le B S, Podvin P, et al. Practical aspects and applications of 2D stereotomography[J]. Geophysics, 2003, 68:1008-1021.
doi: 10.1190/1.1581072
[3]
Begat S L. Application of 2D stereotomography to marine seismic reflection data[C]// SEG Technical Program Expanded Abstracts, 2000, 19(1):2484.
[4]
Chalard E, Podvin P, Lambaré G, et al. 3D stereotomography: A preliminary synthetic test[C]// SEG Technical Program Expanded Abstracts, 2000, 19(1):2484.
[5]
Chalard E. 3D stereotomographic inversion on real data set[C]// SEG Technical Program Expanded Abstracts, 2002, 21(1):2478.
[6]
Alerini M, Traub B, Ravaut C, et al. Prestack depth imaging of ocean-bottom node data[J]. Geophysics, 2009, 74(6):WCA57-WCA63.
doi: 10.1190/1.3204767
[7]
Nag S, Alerini M, Duveneck E, et al. 2D stereotomography for anisotropic media[C]// SEG Technical Program Expanded Abstracts, 2006, 25(1):3541.
Gu W W, Yang K, Wang X. qP-wave slope tomography in VTI media[J]. Geophysical Prospecting for Petroleum, 2019, 58(6):828-836.
[9]
Tavakoli F B, Operto S, Ribodetti A, et al. Slope tomography based on eikonal solvers and the adjoint-state method[J]. Geophysical Journal International, 2017(3):1629-1647.
[10]
Jin C K, Zhang J Z, et al. Stereotomography of seismic data acquired on undulant topography[J]. Geophysics Journal of the Society of Exploration Geophysicists, 2018, 83(4):U35-U41.
Zhang L Q, Yang K, Xing F Y, et al. 2D stereo-tomography inversion constrained by regularization of stratum framework[J]. Chinese Journal of Geophysics, 2019, 62(2):634-647.
[14]
Lambare G. Stereotomographic picking in practice[C]// SEG Technical Program Expanded Abstracts, 2004, 23(1):2586.
[15]
Guillaume P, Lambaré G, Herrmann P, et al. From time to depth imaging-a fast and accurate workflow[C]// 69th EAGE Conference and Exhibition incorporating SPE EUROPEC, 2007.
[16]
Neckludov D, Baina R, Landa E. Residual stereotomographic inversion[J]. Geophysics, 2005, 71(4):E35-E39.
doi: 10.1190/1.2216191
[17]
Chauris H, Noble M S, Lambaré G, et al. Migration velocity analysis from locally coherent events in 2-D laterally heterogeneous media,Part I:Theoretical aspects[J]. Geophysics, 2015, 67(4):1202-1212.
doi: 10.1190/1.1500382
Yang K, Xiong K, Wang Y X, et al. Inversion strategy and data space construction for stereo-tomography using structure tensor and kinematic demigration.I:theory[J]. Geophysical Prospecting for Petroleum, 2017, 56(5):694-706.
Xiong K, Yang K, Xing F Y, et al. Inversion strategy and data space extraction for stereo-tomography based on a combination of structure tensor and kinematic demigration.Ⅱ:practice[J]. Geophysical Prospecting for Petroleum, 2018, 57(2):254-261.
Huang Z L, Zhang J Z, Jiang Y Z. Automatic method for picking slopes of locally coherent events based on linear and hyperbolic stack[J]. Progress in Geophysics, 2013, 28(6):3007-3014.
Jin C K, Jiang Y Z, Zhang J Z. An automatic picking method for slopes of locally coherent reflection events based on Curvelet transform[J]. Geophysical Prospecting for Petroleum, 2015, 54(4):414-419.
Wang Y X, Yang K, Yang X C, et al. A high-density stereo-tomography method based on the gradient square structure tensors algorithm[J]. Chinese Journal of Geophysics, 2016, 59(1):263-276.
Li L Y, Liang H X, Qing N. et al. A technique for building syb-seabed velocity model in shallow sea areas and its application to seismic statics[J]. Geophysical and Geochemical Exploration, 2019, 43(2):373-379.
Li J L, Li Z C, Guan L P, et al. The method of seismic attenuation and energy compensation[J]. Geophysical and Geochemical Exploration, 2015, 39(3):456-465.
[25]
Lambare G. Stereotomography[J]. Geophysics, 2008, 73(5):VE25-VE34.
doi: 10.1190/1.2952039
Liang S X, Wang Q, Jiao Y J, et al. Analysis and evaluation of the potential field inversion using LSQR method[J]. Geophysical and Geochemical Exploration, 2019, 43(2):359-366.
