An improved reverse time migration for subsurface imaging over complex geological structures:A numerical study

作     者：Alok Kumar Routa Priya Ranjan Monahty 

作者机构：Department of Applied GeophysicsIIT(ISM)DhanbadJharkhandIndia 

出 版 物：《Energy Geoscience》 (能源地球科学（英文）)

年 卷 期：2024年第5卷第2期

页      面：290-297页

核心收录：

学科分类：081702[工学-化学工艺] 07[理学] 08[工学] 0817[工学-化学工程与技术] 0708[理学-地球物理学] 070305[理学-高分子化学与物理] 0703[理学-化学] 

主　　题：Imaging condition Reverse time migration(RTM) Seismic imaging Velocity-depth model Wave propagation 

摘      要：In seismic exploration,it is a critical task to image and interpret different seismic signatures over complex geology due to strong lateral velocity contrast,steep reflectors,overburden strata and dipping *** understand the behavior of these seismic signatures,nowadays Reverse Time Migration(RTM)technique is used extensively by the oil&gas *** the extrapolation phase of RTM,the source wavefield needs to be saved,which needs high storage memory and large computing *** two are the main obstacles of RTM for production *** order to overcome these disadvantages,in this study,a second-generation improved RTM technique is *** this improved form,a shift operator is introduced at the time of imaging condition of RTM algorithm which is performed automatically both in space and time *** effort is made to produce a better-quality image by minimizing the computational time as well as numerical *** proposed method is applied over various benchmark models and validated by implementing over one field data set from the Jaisalmer Basin,*** the analysis,it is observed that the method consumes a minimum of 45%less storage space and reduce the execution time by 20%,as compared to conventional *** proposed RTM is found to work efficiently in comparison to the conventional RTM both in terms of imaging quality and minimization of numerical artefacts for all the benchmark models as well as field data.