A new method for dynamic predicting porosity and permeability of low permeability and tight reservoir under effective overburden pressure based on BP neural network
Author:
Funder
Natural Science Foundation of Beijing Municipality
Publisher
Elsevier BV
Reference44 articles.
1. Prediction of high-resolution reservoir facies and permeability, an integrated approach in the Irwin River Coal Measures Formation, perth basin, western Australia;Abdelrahman;J. Petrol. Sci. Eng.,2019
2. Pore pressure versus confining pressure and their effect on oil–water relative permeability curves;Abdulrahman;J. Petrol. Sci. Eng.,2005
3. Neuro-fuzzy system to predict permeability and porosity from well log data: a case study of Hassi R׳Mel gas field, Algeria;Aifa;J. Petrol. Sci. Eng.,2014
4. A new technique for permeability calculation of core samples from unconventional gas reservoirs;Alifi;Fuel,2019
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