Permeability prediction in carbonate reservoirs using specific area, porosity and water saturation
Author:
Affiliation:
1. Schlumberger;
2. King Fahd U of Petroleum and Minerals
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2014-0021.1
Reference4 articles.
1. Permeability Modeling Using Neural Network Approach for Complex Mauddud-Burgan Carbonate Reservoir
2. Neural Networks: A New Tool for the Petroleum Industry?
3. Aminzadeh, F., and F. Brouwer, 2006, Integrating neural networks and fuzzy logic for improved reservoir property prediction and prospect ranking: 76th Annual International Meeting, SEG, Expanded Abstracts, 1752–1756.
4. Basic well log analysis
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1. Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms;Journal of Petroleum Exploration and Production Technology;2022-12-07
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