Numerical Evaluation and Optimization of Multiple Hydraulically Fractured Parameters Using a Flow-Stress-Damage Coupled ApproachReportar como inadecuado




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1

Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China

2

Institute of Railway Engineering, China Academy of Railway Sciences, Beijing 100081, China





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Author to whom correspondence should be addressed.



Academic Editor: Vasily Novozhilov

Abstract Multiple-factor analysis and optimization play a critical role in the the ability to maximizethe stimulated reservoir volume SRV and the success of economic shale gas production. In this paper, taking the typical continental naturally fractured silty laminae shale in China as anexample, response surface methodology RSM was employed to optimize multiple hydraulic fracturing parameters to maximize the stimulated area in combination with numerical modeling based on the coupled flow-stress-damage FSD approach. This paper demonstrates hydraulic fracturing effectiveness by defining two indicesnamelythe stimulated reservoir area SRA and stimulated silty laminae area SLA. Seven uncertain parameters, such as laminae thickness, spacing, dip angle, cohesion, internal friction angle IFA, in situ stress difference SD, and an operational parameter-injection rate IR with a reasonable range based on silty Laminae Shale, Southeastern Ordos Basin, are used to fit a response of SRA and SLA as the objective function, and finally identity the optimum design under the parameters based on simultaneously maximizingSRA and SLA. In addition, asensitivity analysis of the influential factors is conducted for SRA and SLA. The aim of the study is to improve the artificial ability to control the fracturing network by means of multi-parameteroptimization. This work promises to provide insights into the effective exploitation of unconventional shale gas reservoirs via optimization of the fracturing design for continental shale, Southeastern Ordos Basin, China. View Full-Text

Keywords: silty laminae shale; fracturing network; mutri-parameter optimization; response surface methodology RSM; numerical simulation silty laminae shale; fracturing network; mutri-parameter optimization; response surface methodology RSM; numerical simulation





Autor: Yu Wang 1, Xiao Li 1,* , Ruilin Hu 1, Chaofeng Ma 2, Zhiheng Zhao 1 and Bo Zhang 1

Fuente: http://mdpi.com/



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