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Research on SRV estimation algorithm based on triangular mesh subdivision

XULIN WANG1 ,  MENGQIONG YANG2
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1 College Of Marine Geosciences,Ocean University Of China,Qingdao 266100,P .R.China.,
2 Hubei Liantou Mining Co., LTD,Hubei United Investment,WuHan 430061, P .R.Chi- na.,
JSE 2024, 33(1), 01–17;
Submitted: 9 June 2025 | Revised: 9 June 2025 | Accepted: 9 June 2025 | Published: 9 June 2025
© 2025 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
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Abstract

Fracturing has emerged as a powerful technique to improve well production and the recovery of unconventional reservoirs. Under this background, the present research aims to improve the accuracy of SRV estimation. Currently speaking, a common method used to estimate SRV is by constructing a mathematical model. However, there are certain drawbacks associated with this method, like rough fitting effect and low estimation accuracy. In response to this problem, we propose a new SRV estimation method based on a combination of computer three-dimensional modeling methods and the triangular mesh subdivision method to subdivide the three-dimensional envelope structure formed by the microseismic point cloud as well as the volume of the ineffective fracturing area inside the fracturing reformation area. The rejection improves the calculation accuracy of SRV without changing the original distribution characteristics of the microseismic point cloud. Moreover, the final reservoir fracturing model is more accurate The proposed method is validated by a collection of measured data and the corresponding results prove the effectiveness of this method.

Keywords
Stimulated reservoir volume
Delaunay triangulation
Minimum volume ellipsoid
Mesh subdivision
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Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing
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