中国石油大学学报（自然科学版）2024，Vol.48Issue(2)：67-73,7.DOI:10.3969/j.issn.1673-5005.2024.02.007
面向断溶体缝洞储层的智能化散射波地震成像方法
Intelligent diffractions imaging method for fault-karst reservoir
摘要
Abstract
To exhance the efficient exploration and development of fractured reservoirs and achieve high-precision imaging of small-scale geological bodies amidst strong reflections,we propose an intelligent method for separating and imaging reflections and diffractions.Leveraging the geometric differences between reflections and diffractions in dip-angle domain gathers,we in-itially utilize generative adversarial neural networks(GANs)to kinematically identify and separate reflections and diffrac-tions.Then,based on waveform amplitude characteristics,we adopt an adaptive subtraction method for dynamically separa-ting reflections and diffractions.Ultimately,the separated gathers are stacked to produce reflector images,depicting the sub-surface continuous impedance interfaces,and diffractor images,revealing small-scale geological bodies.Numerical experi-ments conducted on synthetic and field data validate the efficacy of the proposed method in enhancing imaging accuracy of fault karsts and achieving high-resolution seismic imaging of small-scale geological targets.关键词
断溶体/绕射波分离/深度学习/倾角域共成像点道集/地震成像Key words
fault-karst/diffraction separation/deep learning/dip-angle domain common-image gather/seismic imaging分类
地质学引用本文复制引用
杨继东,孙加星,黄建平,李振春,秦善源,于由财..面向断溶体缝洞储层的智能化散射波地震成像方法[J].中国石油大学学报（自然科学版）,2024,48(2):67-73,7.基金项目
中石油重大科技合作项目(ZD2019-183-003) （ZD2019-183-003）
国家自然科学基金项目(41774133,42074133) （41774133,42074133）
国家重点研发计划(2019YFC0605503C) （2019YFC0605503C）
"十四五"重大项目(2021QNLM020001) （2021QNLM020001）
优秀青年科学基金项目(41922028) （41922028）
国家创新群体项目(41821002) （41821002）
