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基于稀疏正则化FWI和mOWL-QN的微地震震源位置与震源子波同时反演方法

张申 李萌 崔广智 毛冠华

石油地球物理勘探2025,Vol.60Issue(5):1146-1159,14.
石油地球物理勘探2025,Vol.60Issue(5):1146-1159,14.DOI:10.13810/j.cnki.issn.1000-7210.20240309

基于稀疏正则化FWI和mOWL-QN的微地震震源位置与震源子波同时反演方法

Simultaneous inversion of microseismic source locations and source wavelets based on sparse regularization FWI and mOWL-QN

张申 1李萌 1崔广智 2毛冠华3

作者信息

  • 1. 西安石油大学地球科学与工程学院,陕西 西安 710065||西安石油大学陕西省油气成藏地质学重点实验室,陕西 西安 710065
  • 2. 辽河油田勘探开发研究院,辽宁 盘锦 124010
  • 3. 中国石油天然气股份有限公司长庆油田分公司第七采油厂,甘肃 庆阳 745000
  • 折叠

摘要

Abstract

Microseismic monitoring is crucial for the quantitative characterization of hydraulically induced frac-tures during the stimulation of tight oil and gas reservoirs.However,the relatively strong background noise in microseismic signals often leads to relatively low accuracy and reliability of source-parameter inversion methods that only employ first-arrival phase information.Therefore,drawing on the acoustic wave equation full-wave-form inversion(FWI)approach and leveraging complete microseismic waveform data,this paper proposes a si-multaneous inversion method for microseismic source locations and source wavelets based on sparse regulariza-tion FWI and modified Orthant-Wise Limited-memory Quasi-Newton(mOWL-QN).First,to account for the random and continuous nature of microseismic signals,the method of FWI with sparse regularization constraint is adopted to invert the spatiotemporal source function of microseismic events.Through the application of the L1-norm sparsity constraint as the additional regularization term,the sensitivity of the algorithm to background noise is reduced.Second,the mOWL-QN method is used for optimization to deal with the non-differentiability of the objective function.Finally,sensitivity analysis is performed based on the Marmousi model to investigate the influence of the proposed algorithm on sparse-regularization coefficients,velocity models,background noise,and observation system.Numerical test results show that the proposed algorithm can be accurate and stable under certain background noise without the requirement of prior information on the source wavelet's dominant frequency or wavelet type.The algorithm can simultaneously invert microseismic source locations and the time-domain source wavelet function,which further improves the precision of microseismic source-pa-rameter inversion.This provides technical support for highly accurate quantification of hydraulically induced fracture geometry and post-reservoir-stimulation flow pathways,which provides significant implications for opti-mizing hydraulic fracturing parameters.

关键词

微地震/震源参数反演/全波形反演/稀疏正则化/修正正交有限内存拟牛顿法

Key words

microseismic/source-parameter inversion/full-waveform inversion/sparse regularization/modified Orthant-Wise Limited-memory Quasi-Newton method

分类

天文与地球科学

引用本文复制引用

张申,李萌,崔广智,毛冠华..基于稀疏正则化FWI和mOWL-QN的微地震震源位置与震源子波同时反演方法[J].石油地球物理勘探,2025,60(5):1146-1159,14.

基金项目

本项研究受陕西省自然科学基金面上项目"MPI和CUDA混合加速的微地震解耦波场最小二乘逆时干涉震源定位方法研究"(2023-JC-YB-220)资助. (2023-JC-YB-220)

石油地球物理勘探

OA北大核心

1000-7210

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