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H. Al Khalifah et al.
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Jin Lai et al.
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A parametric study of machine learning techniques in petroleum reservoir permeability prediction by integrating seismic attributes and wireline data
Fatai Anifowose et al.
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A comprehensive study on geometric, topological and fractal characterizations of pore systems in low-permeability reservoirs based on SEM, MICP, NMR, and X-ray CT experiments
Yuqi Wu et al.
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Experimental study of fracture structure effects on acoustic logging data using a synthetic borehole model
Tianyang Li et al.
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Permeability prediction of isolated channel sands using machine learning
Guoyin Zhang et al.
JOURNAL OF APPLIED GEOPHYSICS (2018)
Permeability variation with porosity, pore space geometry, and cement type: A case history from the Snohvit field, the Barents Sea
Sissel Grude et al.
GEOPHYSICS (2015)
Pore connectivity, electrical conductivity, and partial water saturation: Network simulations
M. Li et al.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2015)
Using sensitivity analysis and visualization techniques to open black box data mining models
Paulo Cortez et al.
INFORMATION SCIENCES (2013)
A fast and independent architecture of artificial neural network for permeability prediction
Pejman Tahmasebi et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2012)
Modified Kozeny-Carmen correlation for enhanced hydraulic flow unit characterization
Hasan A. Nooruddin et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2011)
Permeability anisotropy and its relations with porous medium structure
Jean-Baptiste Clavaud et al.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2008)
Design of neural networks using genetic algorithm for the permeability estimation of the reservoir
Mohsen Saemi et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2007)
A review of permeability-prediction methods for carbonate reservoirs using well-log data
T Babadagli et al.
SPE RESERVOIR EVALUATION & ENGINEERING (2004)
A tutorial on support vector regression
AJ Smola et al.
STATISTICS AND COMPUTING (2004)
Illuminating the black box: a randomization approach for understanding variable contributions in artificial neural networks
JD Olden et al.
ECOLOGICAL MODELLING (2002)
Data strip mining for the virtual design of pharmaceuticals with neural networks
RH Kewley et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2000)