Modeling hydraulic fracture fluid efficiency in tight gas reservoirs using non-linear regression and a back-propagation neural network
Author:
Affiliation:
1. Petroleum Engineering Department, Kuwait University, Shidadiya, Kuwait
Funder
The authors have no funding to report
Publisher
Informa UK Limited
Subject
Pollution,Waste Management and Disposal,Environmental Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/12269328.2022.2159546
Reference34 articles.
1. An artificial neural network model for predicting the recovery performance of surfactant polymer floods
2. Al-Zaabi, (2019). Applications of dimensional analysis and artificial neural network for optimizing hydraulic fracture width and fluid efficiency. Graduate Thesis, Dissertations, Kuwait University.
3. A permeability model for the hydraulic fracture filled with proppant packs under combined effect of compaction and embedment
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