Physics-informed neural network-based model for parameter sensitivity analysis in shale hydraulic fracturing

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Yayımlandı:SSRN Electronic Journal
Yazar: Tao Wang
Diğer Yazarlar: Gang Xu, Liyuan Liu, Yao Zhang, Sitao Zhu, Hongyang Chu, Kaikai Zhao
Materyal Türü: Preprint
Dil:İngilizce
Baskı/Yayın Bilgisi: RELX Group (Netherlands) 2025
Konular:
Online Erişim:https://doi.org/10.2139/ssrn.5531853
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author Tao Wang
author2 Gang Xu
Liyuan Liu
Yao Zhang
Sitao Zhu
Hongyang Chu
Kaikai Zhao
author_browse Gang Xu
Hongyang Chu
Kaikai Zhao
Liyuan Liu
Sitao Zhu
Tao Wang
Yao Zhang
author_facet Tao Wang
Gang Xu
Liyuan Liu
Yao Zhang
Sitao Zhu
Hongyang Chu
Kaikai Zhao
author_sort tao wang
collection OpenAlex (Petróleo y Energía)
container_title SSRN Electronic Journal
doi_str_mv 10.2139/ssrn.5531853
first_indexed 2026-10-13T08:34:05Z
format Preprint
id openalex-W4414549689
language English
last_indexed 2026-10-13T08:34:05Z
publishDate 2025
publishDateSort 2025
publisher RELX Group (Netherlands)
publisherStr RELX Group (Netherlands)
record_format oai_dc
spelling Physics-informed neural network-based model for parameter sensitivity analysis in shale hydraulic fracturing Tao Wang Gang Xu Liyuan Liu Yao Zhang Sitao Zhu Hongyang Chu Kaikai Zhao Hydraulic Fracturing and Reservoir Analysis Rock Mechanics and Modeling Hydrocarbon exploration and reservoir analysis breakdown pressure physics-informed neural networks parameter sensitivity analysis Sobol indices Darcy's law injection rate principal stress difference shale gas production RELX Group (Netherlands) SSRN Electronic Journal 10.2139/ssrn.5531853 OpenAlex (Petróleo y Energía)
spellingShingle Physics-informed neural network-based model for parameter sensitivity analysis in shale hydraulic fracturing
Tao Wang
Hydraulic Fracturing and Reservoir Analysis
Rock Mechanics and Modeling
Hydrocarbon exploration and reservoir analysis
breakdown pressure
physics-informed neural networks
parameter sensitivity analysis
Sobol indices
Darcy's law
injection rate
principal stress difference
shale gas production
title Physics-informed neural network-based model for parameter sensitivity analysis in shale hydraulic fracturing
title_full Physics-informed neural network-based model for parameter sensitivity analysis in shale hydraulic fracturing
title_fullStr Physics-informed neural network-based model for parameter sensitivity analysis in shale hydraulic fracturing
title_full_unstemmed Physics-informed neural network-based model for parameter sensitivity analysis in shale hydraulic fracturing
title_short Physics-informed neural network-based model for parameter sensitivity analysis in shale hydraulic fracturing
title_sort physics-informed neural network-based model for parameter sensitivity analysis in shale hydraulic fracturing
topic Hydraulic Fracturing and Reservoir Analysis
Rock Mechanics and Modeling
Hydrocarbon exploration and reservoir analysis
breakdown pressure
physics-informed neural networks
parameter sensitivity analysis
Sobol indices
Darcy's law
injection rate
principal stress difference
shale gas production
topic_facet Hydraulic Fracturing and Reservoir Analysis
Rock Mechanics and Modeling
Hydrocarbon exploration and reservoir analysis
breakdown pressure
physics-informed neural networks
parameter sensitivity analysis
Sobol indices
Darcy's law
injection rate
principal stress difference
shale gas production
url https://doi.org/10.2139/ssrn.5531853