Production Decline Analysis and Hydraulic Fracture Network Interpretation Method for Shale Gas with Consideration of Fracturing Fluid Flowback Data
After multistage hydraulic fracturing of shale gas reservoir, a complex fracture network is formed near the horizontal wellbore. In postfracturing flowback and early-time production period, gas and water two-phase flow usually occurs in the hydraulic fracture due to the retention of a large amount o...
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2021
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oai:doaj.org-article:f4e4e5a379ab4b71abaabe8bc8410cb72021-11-22T01:10:48ZProduction Decline Analysis and Hydraulic Fracture Network Interpretation Method for Shale Gas with Consideration of Fracturing Fluid Flowback Data1468-812310.1155/2021/6076566https://doaj.org/article/f4e4e5a379ab4b71abaabe8bc8410cb72021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6076566https://doaj.org/toc/1468-8123After multistage hydraulic fracturing of shale gas reservoir, a complex fracture network is formed near the horizontal wellbore. In postfracturing flowback and early-time production period, gas and water two-phase flow usually occurs in the hydraulic fracture due to the retention of a large amount of fracturing fluid in the fracture. In order to accurately interpret the key parameters of hydraulic fracture network, it is necessary to establish a production decline analysis method considering fracturing fluid flowback in shale gas reservoirs. On this basis, an uncertain fracture network model was established by integrating geological, fracturing treatment, flowback, and early-time production data. By identifying typical flow-regimes and correcting the fracture network model with history matching, a set of production decline analysis and fracture network interpretation method with consideration of fracturing fluid flowback in shale gas reservoir was formed. Derived from the case analysis of a typical fractured horizontal well in shale gas reservoirs, the interpretation results show that the total length of hydraulic fractures is 4887.6 m, the average half-length of hydraulic fracture in each stage is 93.4 m, the average fracture conductivity is 69.7 mD·m, the stimulated reservoir volume (SRV) is 418×104 m3, and the permeability of SRV is 5.2×10−4 mD. Compared with the interpretation results from microseismic monitoring data, the effective hydraulic fracture length obtained by integrated fracture network interpretation method proposed in this paper is 59% of that obtained from the microseismic monitoring data, and the effective SRV is 83% of that from the microseismic monitoring data. The results show that the fracture length is smaller and the fracture conductivity is larger without considering the influence of fracturing fluid.Jianfeng XiaoXianzhe KeHongxuan WuHindawi-WileyarticleGeologyQE1-996.5ENGeofluids, Vol 2021 (2021) |
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Geology QE1-996.5 Jianfeng Xiao Xianzhe Ke Hongxuan Wu Production Decline Analysis and Hydraulic Fracture Network Interpretation Method for Shale Gas with Consideration of Fracturing Fluid Flowback Data |
description |
After multistage hydraulic fracturing of shale gas reservoir, a complex fracture network is formed near the horizontal wellbore. In postfracturing flowback and early-time production period, gas and water two-phase flow usually occurs in the hydraulic fracture due to the retention of a large amount of fracturing fluid in the fracture. In order to accurately interpret the key parameters of hydraulic fracture network, it is necessary to establish a production decline analysis method considering fracturing fluid flowback in shale gas reservoirs. On this basis, an uncertain fracture network model was established by integrating geological, fracturing treatment, flowback, and early-time production data. By identifying typical flow-regimes and correcting the fracture network model with history matching, a set of production decline analysis and fracture network interpretation method with consideration of fracturing fluid flowback in shale gas reservoir was formed. Derived from the case analysis of a typical fractured horizontal well in shale gas reservoirs, the interpretation results show that the total length of hydraulic fractures is 4887.6 m, the average half-length of hydraulic fracture in each stage is 93.4 m, the average fracture conductivity is 69.7 mD·m, the stimulated reservoir volume (SRV) is 418×104 m3, and the permeability of SRV is 5.2×10−4 mD. Compared with the interpretation results from microseismic monitoring data, the effective hydraulic fracture length obtained by integrated fracture network interpretation method proposed in this paper is 59% of that obtained from the microseismic monitoring data, and the effective SRV is 83% of that from the microseismic monitoring data. The results show that the fracture length is smaller and the fracture conductivity is larger without considering the influence of fracturing fluid. |
format |
article |
author |
Jianfeng Xiao Xianzhe Ke Hongxuan Wu |
author_facet |
Jianfeng Xiao Xianzhe Ke Hongxuan Wu |
author_sort |
Jianfeng Xiao |
title |
Production Decline Analysis and Hydraulic Fracture Network Interpretation Method for Shale Gas with Consideration of Fracturing Fluid Flowback Data |
title_short |
Production Decline Analysis and Hydraulic Fracture Network Interpretation Method for Shale Gas with Consideration of Fracturing Fluid Flowback Data |
title_full |
Production Decline Analysis and Hydraulic Fracture Network Interpretation Method for Shale Gas with Consideration of Fracturing Fluid Flowback Data |
title_fullStr |
Production Decline Analysis and Hydraulic Fracture Network Interpretation Method for Shale Gas with Consideration of Fracturing Fluid Flowback Data |
title_full_unstemmed |
Production Decline Analysis and Hydraulic Fracture Network Interpretation Method for Shale Gas with Consideration of Fracturing Fluid Flowback Data |
title_sort |
production decline analysis and hydraulic fracture network interpretation method for shale gas with consideration of fracturing fluid flowback data |
publisher |
Hindawi-Wiley |
publishDate |
2021 |
url |
https://doaj.org/article/f4e4e5a379ab4b71abaabe8bc8410cb7 |
work_keys_str_mv |
AT jianfengxiao productiondeclineanalysisandhydraulicfracturenetworkinterpretationmethodforshalegaswithconsiderationoffracturingfluidflowbackdata AT xianzheke productiondeclineanalysisandhydraulicfracturenetworkinterpretationmethodforshalegaswithconsiderationoffracturingfluidflowbackdata AT hongxuanwu productiondeclineanalysisandhydraulicfracturenetworkinterpretationmethodforshalegaswithconsiderationoffracturingfluidflowbackdata |
_version_ |
1718418378155098112 |