石油物探2017，Vol.56Issue(4)：523-533,11.DOI:10.3969/j.issn.1000-1441.2017.04.008
地震叠前逆时偏移衰减随机边界条件研究
A damped random boundary condition for prestack reverse time migration
摘要
Abstract
The boundary conditions and storage requirements of reverse time migration (RTM) are often restricted to each other.The selection of these two parameters directly affect the imaging results and application conditions of RTM.Therefore,it is very important to study the boundary conditions and corresponding storage strategies for RTM.We proposed a damped random boundary condition,in which the energy attenuation layer and the random velocity layer were added outside of the real wavefield in turn.This method could effectively reduce the energy interference from random reflection.The inverse operation of the wave equation could reconstruct the source wavefield.Combined with cross-correlation imaging conditions,we conducted the RTM calculation.The results of comparison and analysis show that,compared with the random boundary condition,at the expense of less storage efficiency,the proposed method could obtain a better migration result,and the accuracy is very close to the results obtained by the perfectly matched layer boundary condition.The correctness of the above conclusion is verified by the example of salt model and big offset model.关键词
逆时偏移/随机边界/存储/波场重建Key words
reverse time migration (RTM)/random boundary/storage/wavefield reconstruction分类
天文与地球科学引用本文复制引用
柯璇,石颖,张莹莹,张振..地震叠前逆时偏移衰减随机边界条件研究[J].石油物探,2017,56(4):523-533,11.基金项目
国家自然科学基金项目(41574117,41474118)、黑龙江省杰出青年科学基金项目(JC2016006)、大连理工大学海岸和近海工程国家重点实验室开放基金项目(LP1509)、黑龙江省自然科学基金项目(D2015011)和东北石油大学研究生创新科研项目(YJSCX2016-002NEPU)联合资助.This research is financially supported by the National Natural Science Foundation of China (Grant Nos.41574117,41474118),Heilongjiang Province Natural Science Fund for Distinguished Young Scholar (Grant No.JC2016006),the Open Project of State Key Laboratory of Coastal and Offshore Engineering of Dalian University of Technology (Grant No.LP1509),the Natural Science Foundation of Heilongjiang Province (Grant No.D2015011) and the Northeast Petroleum University Innovation Foundation for Postgraduate (Grant No.YJSCX2016-002NEPU). （41574117,41474118）
