Research progress on seismic imaging technology

被引:44
|
作者
Li, Zhen-Chun [1 ,2 ]
Qu, Ying-Ming [1 ,2 ]
机构
[1] China Univ Petr, Sch Geosci, Qingdao 266580, Shandong, Peoples R China
[2] China Univ Petr, Shandong Prov Key Lab Deep Oil & Gas, Qingdao 266580, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Common reflection surface stack; Gaussian-beam migration; Reverse-time migration; Least-squares reverse-time migration; REVERSE-TIME-MIGRATION; LEAST-SQUARES MIGRATION; WAVE-FORM INVERSION; SURFACE-RELATED MULTIPLES; PRESTACK DEPTH MIGRATION; GAUSSIAN-BEAM MIGRATION; FINITE-DIFFERENCE; ATTENUATION COMPENSATION; EQUATION MIGRATION; VELOCITY ANALYSIS;
D O I
10.1016/j.petsci.2022.01.015
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
High-precision seismic imaging is the core task of seismic exploration, guaranteeing the accuracy of geophysical and geological interpretation. With the development of seismic exploration, the targets become more and more complex. Imaging on complex media such as subsalt, small-scale, steeply dipping and surface topography structures brings a great challenge to imaging techniques. Therefore, the seismic imaging methods range from stacking-to migration-to inversion-based imaging, and the imaging accuracy is becoming increasingly high. This review paper includes: summarizing the development of the seismic imaging; overviewing the principles of three typical imaging methods, including common reflection surface (CRS) stack, migration-based Gaussian-beam migration (GBM) and reverse-time migration (RTM), and inversion-based least-squares reverse-time migration (LSRTM); analyzing the imaging capability of GBM, RTM and LSRTM to the special structures on three typical models and a land data set; outlooking the future perspectives of imaging methods. The main challenge of seismic imaging is to produce high-precision images for low-quality data, extremely deep reservoirs, and dual-complex structures. (c) 2022 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/ 4.0/).
引用
收藏
页码:128 / 146
页数:19
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