Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models
Abstract The advent of Artificial Intelligence (AI) in the petroleum industry has seen an
increase in its use in exploration, development, production, reservoir engineering and …
increase in its use in exploration, development, production, reservoir engineering and …
A systematic review of data science and machine learning applications to the oil and gas industry
This study offered a detailed review of data sciences and machine learning (ML) roles in
different petroleum engineering and geosciences segments such as petroleum exploration …
different petroleum engineering and geosciences segments such as petroleum exploration …
Review of diagenetic facies in tight sandstones: Diagenesis, diagenetic minerals, and prediction via well logs
The tight sandstones are characterized by low porosity, low permeability, complex pore
structure and strong heterogeneity due to the extensive diagenetic modifications they …
structure and strong heterogeneity due to the extensive diagenetic modifications they …
[图书][B] Quantitative seismic interpretation: Applying rock physics tools to reduce interpretation risk
Quantitative Seismic Interpretation demonstrates how rock physics can be applied to predict
reservoir parameters, such as lithologies and pore fluids, from seismically derived attributes …
reservoir parameters, such as lithologies and pore fluids, from seismically derived attributes …
Integrating well log interpretations for lithofacies classification and permeability modeling through advanced machine learning algorithms
WJ Al-Mudhafar - Journal of Petroleum Exploration and Production …, 2017 - Springer
In this paper, an integrated procedure was adopted to obtain accurate lithofacies
classification to be incorporated with well log interpretations for a precise core permeability …
classification to be incorporated with well log interpretations for a precise core permeability …
Lithofacies classification and sequence stratigraphic description as a guide for the prediction and distribution of carbonate reservoir quality: a case study of the Upper …
Abstract In the East Baghdad oilfield of central Iraq, the Upper Cretaceous Khasib Formation
is the largest producing carbonate reservoir. The basic architecture of the “Khasib …
is the largest producing carbonate reservoir. The basic architecture of the “Khasib …
Performance evaluation of machine learning-based classification with rock-physics analysis of geological lithofacies in Tarakan Basin, Indonesia
G Antariksa, R Muammar, J Lee - Journal of Petroleum Science and …, 2022 - Elsevier
This study aims to put a supervised learning method for automatically classifying lithofacies
in well-logging dataset, where several machine learning algorithms were compared in this …
in well-logging dataset, where several machine learning algorithms were compared in this …
Integrating machine learning and data analytics for geostatistical characterization of clastic reservoirs
WJ Al-Mudhafar - Journal of Petroleum Science and Engineering, 2020 - Elsevier
An integrated multidisciplinary workflow of machine learning and data analytics was
conducted for the multivariate geostatistical characterization of clastic reservoirs. This …
conducted for the multivariate geostatistical characterization of clastic reservoirs. This …
Lithology identification using graph neural network in continental shale oil reservoirs: A case study in Mahu Sag, Junggar Basin, Western China
The continental shale oil reservoir of Fengcheng Formation in the northern slope area of
Mahu Sag, Junggar Basin, Western China is very heterogeneous in lithology. Thus, the …
Mahu Sag, Junggar Basin, Western China is very heterogeneous in lithology. Thus, the …
Lithofacies prediction in non-cored wells from the Sif Fatima oil field (Berkine basin, southern Algeria): a comparative study of multilayer perceptron neural network …
The purpose of this study is to investigate the possibility of applying multilayer perceptron
neural network (MLPNN) and cluster analysis approaches for rebuilding non-cored …
neural network (MLPNN) and cluster analysis approaches for rebuilding non-cored …