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作 者:Lijun Liu Xinglin Guo Xiaoguang Wang
机构地区:[1]State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology,Chengdu,610059,China [2]Tianfu Yongxing Laboratory,Chengdu,610213,China [3]College of Energy,Chengdu University of Technology,Chengdu,610059,China [4]State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Chengdu,610059,China
出 处:《Journal of Rock Mechanics and Geotechnical Engineering》2024年第8期3136-3148,共13页岩石力学与岩土工程学报(英文版)
基 金:funding support from the National Natural Science Foundation of China(Grant No.52204030);Youth Innovation and Technology Support Program for Higher Education Institutions of Shandong Province,China(Grant No.2022KJ070);the National Natural Science Foundation of China Enterprise Innovation and Development Joint Fund Project(Grant No.U19B6003).
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 importance 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.
关 键 词:Distributed strain sensing Fracture diagnostic Coupled flow and geomechanics Transient wellbore flow
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