Committee neural network model for rock permeability prediction

P Bagheripour - Journal of Applied Geophysics, 2014 - Elsevier
Quantitative formulation between conventional well log data and rock permeability,
undoubtedly the most critical parameter of hydrocarbon reservoir, could be a potent tool for …

A new method to evaluate reservoir pore structure consecutively using NMR and capillary pressure data

L Xiao, ZQ Mao, ZX Xiao, C Zhang - SPWLA Annual Logging …, 2008 - onepetro.org
It is very important to understand reservoir pore structure information in finding interested
zones and formulating advisable recovery scheme. Capillary pressure data is critical …

New fractal-dimension-based relation model for estimating absolute permeability through capillary pressure curves

C Li, W Dai, B Luo, J Pi, Y Liu, Y Zhang - Journal of Petroleum Science and …, 2021 - Elsevier
This paper developed a new general power-law relation model to predict absolute
permeability, which innovatively integrating Poiseuille's law and fractal capillary pressure …

Pore Structure Analysis and a Novel Interpretable Model for Permeability Prediction of Tight Sandstone Using Pi-Deepfm Machine Learning Algorithm

L Huo, F Jiang, L Cao, D Chen, Z Song… - Available at SSRN … - papers.ssrn.com
Permeability estimation and quantitative evaluation of pore structure have always been
hotspots and challenges in tight sandstone. The fractal theory generally plays an important …

Comments on “Construction of synthetic capillary pressure curves from the joint use of NMR log data and conventional well logs”

L Xiao, Z Chang-chun, W Hua - Journal of Petroleum Science and …, 2015 - Elsevier
Abstract Recently, Eslami et al.,(2013) proposed a method of constructing pseudo capillary
pressure curves by combining with NMR log data and conventional well logs following a two …

Derivation of Continuous Irreducible Water Saturation and Pore Throat Aperture Distribution from Well Logs in an Offshore Brownfield

T Li, X Zhou, Y Cui, J Xu, H Liu - Offshore Technology Conference, 2018 - onepetro.org
In this case study, we propose a new petrophysical workflow to evaluate an offshore mature
field. In the field studied, hydrocarbon production mainly comes from sandstone reservoirs …

Permeability predictions for tight sandstone reservoir using explainable machine learning and particle swarm optimization

JJ Liu, JC Liu - Geofluids, 2022 - Wiley Online Library
High‐precision permeability prediction is of great significance to tight sandstone reservoirs.
However, while considerable progress has recently been made in the machine learning …

NMR derived capillary pressure and relative permeability curves as an aid in rock typing of carbonate reservoirs

S Hosseinzadeh, A Kadkhodaie… - Journal of Petroleum …, 2020 - Elsevier
Capillary pressure together with relative permeability curves are key parameters in
carbonate reservoirs characterization. They serve as fundamental inputs in petrophysical …

A new multiphysics method for simultaneous assessment of permeability and saturation-dependent capillary pressure in hydrocarbon-bearing rocks

AP Garcia, Z Heidari - SPE Journal, 2021 - onepetro.org
Cost‐effective exploitation of heterogeneous/anisotropic reservoirs (eg, carbonate
formations) relies on accurate description of pore structure, dynamic petrophysical …

An empirical approach of evaluating tight sandstone reservoir pore structure in the absence of NMR logs

L Xiao, C Zou, Z Mao, Y Jin, Y Shi, H Guo… - Journal of Petroleum …, 2016 - Elsevier
Tight sandstone reservoirs identification and evaluation face a great challenge due to the
characteristics of ultra-low porosity, ultra-low permeability, complicated pore structure and …