New correlations to predict fracture conductivity based on the formation lithology
Author:
Affiliation:
1. Faculty of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran
2. Mewbourne School of Petroleum & Geological Engineering, University of Oklahoma, Norman, OK, USA
Publisher
Informa UK Limited
Subject
Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
Link
https://www.tandfonline.com/doi/pdf/10.1080/15567036.2018.1486896
Reference14 articles.
1. RETRACTED ARTICLE: Intelligent approach for prediction of minimum miscible pressure by evolving genetic algorithm and neural network
2. New correlations to predict fracture conductivity based on the rock strength
3. Variation of whole and fractured porous rock permeability with confining pressure
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