分布式声波传感垂直地震剖面法智能处理及多波成像方法  

Multi-Wave Imaging Methods for Distributed Acoustic Sensing Vertical Seismic Profile Assisted by Artificial Intelligence Processing

作　　者：陈沅忠 胡光岷 李彦鹏 饶云江 安树杰 宗晶晶 张昊 Chen Yuanzhong;Hu Guangmin;Li Yanpeng;Rao Yunjiang;An Shujie;Zong Jingjing;Zhang Hao(School of Resources and Environment,University of Electronic Science and Technology,Chengdu 611631,Sichuan,China;Optical Science and Technology(Chengdu)Ltd.,Chengdu 611631,Sichuan,China;BGP,Inc.,China National Petroleum Corporation,Zhuozhou 072750,Hebei,China;Shanghai Petroleum and Natural Gas Co.,Ltd.,Shanghai 200040,China)

机构地区：[1]电子科技大学资源与环境学院,四川成都611631 [2]中油奥博(成都)科技有限公司,四川成都611631 [3]中国石油集团东方物探公司,河北涿州072750 [4]上海石油天然气有限公司,上海200040

出　　处：《光学学报》2024年第1期355-366,共12页Acta Optica Sinica

基　　金：国家自然科学基金(42104130);中国博士后科学基金(2021M690536);中央高校经费(ZYGX2021J023)。

摘　　要：本文研究了分布式声波传感垂直地震剖面(DAS-VSP)法纵波及转换波智能处理与成像方法,讨论了DAS-VSP形态成分分析法数据去噪技术、DAS-VSP多波智能分离方法和流程,以及基于深度学习的DAS-VSP数据规则化方法。创新性地提出了一种基于最小旅行时的多波VSP成像方法,通过旅行时表控制反射路径附近聚焦成像,比传统地震偏移方法的划弧减少,成像过程中计算覆盖次数,解决了覆盖不均匀成像振幅问题。通过海上斜井DAS-VSP实际数据处理,同时获得DAS-VSP上行纵波和上行转换横波成像剖面,结果显示,DAS-VSP不仅含有反射纵波信息,同时存在较强的转换横波,通过针对性处理后,能够实现DAS-VSP纵波及转换波成像,说明斜井DAS-VSP具备多波成像条件,可获得较高信噪比的纵波及转换波成像数据,多波数据更有利于油气预测和识别,智能处理及多波成像方法为DAS-VSP法用于油气勘探开发提供了新的技术手段。Objective We investigate intelligent processing and imaging methods for distributed acoustic sensing vertical seismic profile(DAS-VSP)data,focusing on longitudinal waves and converted waves.Meanwhile,we discuss DAS-VSP morphology component analysis for noise reduction,intelligent separation of multiple waves in DAS-VSP data,and regularization methods using deep learning for DAS-VSP data,and study a multi-wave VSP imaging method based on minimum travel time.The proposed method combines the advantages of VSP-CDP conversion and conventional ray-based Kirchhoff migration and utilizes minimum travel time information to determine the reflection wave paths in the VSP data.By controlling the focusing imaging near the reflection paths using travel time tables,this method reduces the curvature compared to traditional seismic migration methods and calculates the coverage during the imaging to resolve uneven imaging amplitudes.By the actual data processing of offshore inclined well DAS-VSP,the DAS-VSP P-P wave and P-S wave imaging profiles are obtained simultaneously for the first time in China.Combining targeted processing,the researchers achieve imaging of both P-P and P-S waves from DAS-VSP data.The results indicate that the DAS-VSP from deviated wells provides conditions for multi-wave imaging and yields higher signal-to-noise ratio(SNR)imaging data for P-P waves and P-S waves.Multi-wave data is more conducive to oil and gas prediction and identification,and artificial intelligence(AI)processing and multi-wave imaging methods provide new technical means for DAS-VSP in oil and gas exploration and development.Methods The process of the proposed VSP imaging method based on minimum travel time is demonstrated,and multi template fast advancement algorithm is employed to calculate the travel time table for each shot and receiver pair.Further,the two travel time tables are summed and sorted from small to large ones by depth.Given the number of grids(migration aperture),the wave field data are projected at the corresponding posi

关 键 词：垂直地震剖面法 分布式声波传感 人工智能 形态成分分析法 波场分离 数据规则化 多模板快速推进算法 转换横波 成像 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]