The current hydrocarbon exploration targets are concealed,scattered,thin,and small.These characteristics put forward higher requirements for the migration imaging technique.Owing to the special acquisition method,the data derived from borehole seismic have the advantages of high resolution,rich wave field information,and less interference.In theory,borehole seismic can be used to realize high-precision imaging of complex reservoirs,such as concealed,scattered,thin and small ones around the well.Well types greatly limit the layout of the seismic sources.In practice,besides vertical wells,there are also many types of wells,such as inclined wells,curved inclined wells,and horizontal wells.For different well types,the seismic sources at the same depth have different positions and the same number of seismic sources have different spatial distributions,leading to significantly different seismic wave propagation paths and further affecting the imaging quality.However,there is no qualitative or quantitative understanding of the effects of well types on migration imaging currently.Using the visco-acoustic inverse time migration imaging method,this study analyzed the effects of well types on migration quality by comparing the seismic migration imaging results of theoretical models under various well types.The numerical results provide the qualitative relationships between well types and borehole seismic migration imaging quality and effective imaging range.The results also provide corresponding theoretical support for the design of a borehole seismic acquisition system.
王霁川, 谷丙洛, 李振春. 井中地震黏声逆时偏移的井型影响分析[J]. 物探与化探, 2022, 46(5): 1196-1206.
WANG Ji-Chuan, GU Bing-Luo, LI Zhen-Chun. Effects of well types on the visco-acoustic reverse time migration based on borehole seismics. Geophysical and Geochemical Exploration, 2022, 46(5): 1196-1206.
He H Q, Fan T Z, Guo X J, et al. PetroChina: Major achievements in oil and gas exploration during the 13th Five-Year Plan period and development strategy for the 14th Five-Year Plan[J]. China Petroleum Exploration, 2021, 26(1): 17-30.
Yang Q Y, Yang J F, Wang X B, et al. Sinopec:Progress and development direction of geophysical prospecting technology[J]. China Petroleum Exploration, 2021, 26(1): 121-130.
[4]
Weatherby B B. Method of making sub-surface determinations[P]. US, US2062151,1936-11-24.
[5]
Deily F H, Dareing D W, Paff G H, et al. Downhole measurements of drill string forces and motions[J]. Journal of Engineering for Industry, 1968, 90(2):217-225.
doi: 10.1115/1.3604617
[6]
Squire W D, Alsup J M. Linear signal processing and Ultrasonic transversal filters[J]. IEEE Transactions on Microwave Theory & Techniques, 1969, 17(11):1020-1040.
doi: 10.1109/TMTT.1969.1127091
[7]
Haldorsen J, Miller D E, Walsh J J. Walk-away VSP using drill noise as a source[J]. Geophysics, 1995, 60(4):978.
doi: 10.1190/1.1443863
[8]
杨微. 随钻地震信号检测方法研究[D]. 北京: 中国地震局地球物理研究所, 2007.
[8]
Yang W. Single detection of the drill bit seismic wave whlie drilling[D] .Beijing: Institute of Geophysics,China Earthquake Administration, 2007.
Jin H D, Pan D M, Yang G. Study on equivalent surface data processing method in RVSP[J] .Progress in Geophysics, 2015, 30(2):641-649.
[15]
张辉. 碳酸岩裸露区煤田RVSP勘探技术研究与应用[D]. 北京: 中国矿业大学, 2018.
[15]
Zhang H. Research and application of RVSP exploration technology in Carbonate exposed coalfield[D] .Beijing: China University of Mining and Technology, 2018.
[16]
Hu M S, Pan D M, Zhou F B, et al. Multi-hole joint acquisition of a 3D-RVSP in a karst area:Case study in the Wulunshan Coal Field,China[J]. Appl. Geophys., 2020, 17:37-53.
doi: 10.1007/s11770-020-0808-8
Zou C N, Zhang G S, Yang Z, et al. Geological concepts, characteristics, resource potential and key techniques of unconventional hydrocarbon:On unconventional petroleum geology[J]. Petroleum Exploration and Development, 2013, 40(4): 385-399,454.
Wu J Z, Yang X L, Long Y. A robust approach of inverse Q filtering with equivalent Q[J]. OGP, 2016, 51(1):63-70.
[21]
Hale D. Q-adaptive deconvolution[J]. SEG Technical Program Expanded Abstracts, 1982:82-83.
[22]
Hargreaves N D. Similarity and the inverse Q filter:Some simple algorithms for inverse Q filtering[J]. Geophysics, 1992, 57(7): 944-947.
doi: 10.1190/1.1443307
[23]
Deng F, McMechan G A. Viscoelastic true-amplitude prestack reverse-time depth migration[J]. Geophysics, 2008, 73(4):S143-S155.
doi: 10.1190/1.2938083
[24]
Dutta G, Schuster G T. Attenuation compensation for least-squares reverse time migration using the viscoacoustic-wave equation[J]. Geophysics, 2014, 79(6): S251-S262.
doi: 10.1190/geo2013-0414.1
[25]
Bai J, Chen G, Yingst D, et al. Attenuation compensation in viscoacoustic reverse time migration[J]. SEG Technical Program Expanded Abstracts, 2013:3825-3830.
[26]
Tian K, Huang J, Bu C, et al. Viscoacoustic reverse time migration by adding a regularization term[C]// New Orleans:2015 SEG Annual Meeting, 2015:4127-4131.
Tian K, Zhang X T, Li G L. Viscoacoustic reverse time migration by adding a regularization term[J]. Computerized Tomography Theory and Applications, 2017, 26(6):669-677.
[28]
Kjartansson E. Constant Q-wave propagation and attenuation[J]. Journal of Geophysical Research:Solid Earth, 1979, 84(B9):4737-4748.
[29]
Zhang Y, Zhang P, Zhang H. Compensating for visco-acoustic effects in reverse-time migration[M]// SEG Technical Program Expanded Abstracts, 2010:3160-3164.
[30]
Zhu T, Harris J M. Modeling acoustic wave propagation in heterogeneous attenuating media using decoupled fractional Laplacians[J]. Geophysics, 2014, 79(3):S165-S174.
Wu Y, Fu L Y, Chen G X. Forward modeling and reverse time migration of viscoacoustic media using decoupled fractional Laplacians[J]. Chinese J. Geophys., 2017, 60(4):1527-1537.
[32]
Zhu T, Harris J M. Improved seismic image by Q-compensated reverse time migration:Application to crosswell field data, west Texas[J]. Geophysics, 2015, 80(2):B61-B67.
doi: 10.1190/geo2014-0463.1
Luo W S, Chen H M, Wang C X, et al. A novel time-domain viscoacoustic wave equation and its numerical simulation[J]. OGP, 2016, 51(4):707-713.
[34]
Hu W, Zhou T, Ning J. An efficient Q-RTM algorithm based on local differentiation operators[M]// SEG Technical Program Expanded Abstracts, 2016:4183-4187.
[35]
Li Q, Zhou H, Zhang Q, et al. Efficient reverse time migration based on fractional Laplacian viscoacoustic wave equation[J]. Geophysical Journal International, 2016, 204(1):488-504.
doi: 10.1093/gji/ggv456
[36]
Sun J, Zhu T. Strategies for stable attenuation compensation in reverse-time migration[J]. Geophysical Prospecting, 2018, 66(3):498-511.
doi: 10.1111/1365-2478.12579
[37]
Zhao Y, Mao N, Ren Z. A stable and efficient approach of Q reverse time migration[J]. Geophysics, 2018, 83(6):S557-S567.
doi: 10.1190/geo2018-0022.1
Chen H M, Wang Y L, Zhou H. A novel constant fractional-order Laplacians viscoacoustic wave equation and its numerical simulation method[J]. OGP, 2020, 55(2): 302-310.
[40]
Liu Y, Sen M K. A hybrid scheme for absorbing edge reflections in numerical modeling of wave propagation[J]. Geophysics, 2010, 75(2): A1-A6.
doi: 10.1190/1.3295447