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<p>Underground water-sealed oil reservoir (UWOR) has emerged as one of the primary methods for large-scale oil storage worldwide. However, adverse geological conditions can induce micro-fractures in the surrounding rock under external loads, posing significant safety risks. As a result, microseismic monitoring of the stability of surrounding rock is essential. Such monitoring systems enable real-time tracking of the spatial distribution and scale of fractures, effectively identifying potential hazards and offering substantial economic and safety benefits. Accurate picking of first-arrival times is a critical step in microseismic monitoring. In UWOR, microseismic events typically have weak source energy and low signal-to-noise ratio (SNR), and traditional picking methods often fail to provide reliable results due to complex background noise. To address this challenge, a first-arrival picking method based on energy ratio and autocorrelation constraint was proposed in this study to accurately pick the first-arrival time of effective waves in low SNR microseismic data. In addition, this study utilized the theory of three-dimensional (3D) elastic waves in homogeneous isotropic media, a full-wave simulation of 3D elastic waves in the space of UWOR was achieved in microseismic events under the special conditions of UWOR. Three-dimensional microseismic inversion and localization based on UWOR were achieved through 3D numerical simulation and wavefield characteristic analysis. Both numerical simulations and field experiments validate the proposed method, demonstrating its accuracy, robustness, and practical applicability for microseismic monitoring in UWOR environments.</p>

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Research on the Method of First Arrival Time Picking of Microseismic Signals and Inverse Location Based on Underground Water-Sealed Oil Reservoir

  • 期刊论文

  • 发表日期：

    2025年8月5日

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  • Fei Cheng,
  • Daicheng Peng,
  • Niannian Qu,
  • Jiangping Liu

摘要

Underground water-sealed oil reservoir (UWOR) has emerged as one of the primary methods for large-scale oil storage worldwide. However, adverse geological conditions can induce micro-fractures in the surrounding rock under external loads, posing significant safety risks. As a result, microseismic monitoring of the stability of surrounding rock is essential. Such monitoring systems enable real-time tracking of the spatial distribution and scale of fractures, effectively identifying potential hazards and offering substantial economic and safety benefits. Accurate picking of first-arrival times is a critical step in microseismic monitoring. In UWOR, microseismic events typically have weak source energy and low signal-to-noise ratio (SNR), and traditional picking methods often fail to provide reliable results due to complex background noise. To address this challenge, a first-arrival picking method based on energy ratio and autocorrelation constraint was proposed in this study to accurately pick the first-arrival time of effective waves in low SNR microseismic data. In addition, this study utilized the theory of three-dimensional (3D) elastic waves in homogeneous isotropic media, a full-wave simulation of 3D elastic waves in the space of UWOR was achieved in microseismic events under the special conditions of UWOR. Three-dimensional microseismic inversion and localization based on UWOR were achieved through 3D numerical simulation and wavefield characteristic analysis. Both numerical simulations and field experiments validate the proposed method, demonstrating its accuracy, robustness, and practical applicability for microseismic monitoring in UWOR environments.