Integrated wellbore-reservoir-geomechanics modeling for enhanced interpretation of distributed fiber-optic strain sensing data in hydraulic-fracture analysis

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外文摘要：Fiber-optic distributed strain sensing(FO-DSS)has been successful in monitoring strain changes along horizontal wellbores in hydraulically fractured reservoirs.However,the mechanism driving the various FO-DSS responses associated with near-wellbore hydraulic fracture properties is still unclear.To address this knowledge gap,we use coupled wellbore-reservoir-geomechanics simulations to study measured strain-change behavior and infer hydraulic fracture characteristics.The crossflow among fractures is captured through explicit modeling of the transient wellbore flow.In addition,local grid refinement is applied to accurately capture strain changes along the fiber.A Base Case model was designed with four fractures of varying properties,simulating strain change signals when the production well is shut-in for 10 d after 240 d of production and reopened for 2 d.Strain-pressure plots for different fracture clusters were used to gain insights into inferring fracture properties using DSS data.When comparing the model with and without the wellbore,distinct strain change signals were observed,emphasizing the impor-tance of incorporating the wellbore in FO-DSS modeling.The effects of fracture spacing and matrix permeability on strain change signals were thoroughly investigated.The results of our numerical study can improve the understanding of the relation between DSS signals and fracture hydraulic properties,thus maximizing the value of the dataset for fracture diagnostics and characterization.

外文关键词：

Distributed strain sensingFracture diagnosticCoupled flow and geomechanicsTransient wellbore flow

作者：

Lijun Liu、Xinglin Guo、Xiaoguang Wang

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作者单位：

State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology,Chengdu,610059,China

Tianfu Yongxing Laboratory,Chengdu,610213,China

College of Energy,Chengdu University of Technology,Chengdu,610059,China

State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Chengdu,610059,China

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基金：

National Natural science Foundation of ChinaYouth Innovation and Technology Support Program for Higher Education Institutions of Shandong Province,ChinaNational Natural Science Foundation of China Enterprise Innovation and Development Joint Fund Project

项目编号：

522040302022KJ070U19B6003

出版年：

2024

DOI：

10.1016/j.jrmge.2023.09.027

岩石力学与岩土工程学报(英文版)

中国科学院武汉岩土力学所中国岩石力学与工程学会武汉大学

岩石力学与岩土工程学报(英文版)

CSTPCD

影响因子：0.404

ISSN：1674-7755

年,卷(期)：2024.16(8)