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 machine learning model for predicting the minimum miscibility pressure of CO2 and crude oil system based on a support vector machine algorithm approach
CO 2 enhanced oil recovery (EOR) is a potential way for carbon capture, utilization and
storage (CCUS). However, the effect of CO 2 injection is greatly influenced by the reservoir …
storage (CCUS). However, the effect of CO 2 injection is greatly influenced by the reservoir …
Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines
The ensemble learning paradigm has proved to be relevant to solving most challenging
industrial problems. Despite its successful application especially in the Bioinformatics, the …
industrial problems. Despite its successful application especially in the Bioinformatics, the …
A parametric study of machine learning techniques in petroleum reservoir permeability prediction by integrating seismic attributes and wireline data
Highlights•Parametric study to investigate the comparative performance of ML
techniques.•Study is applied to the estimation of petroleum reservoir permeability.•Seismic …
techniques.•Study is applied to the estimation of petroleum reservoir permeability.•Seismic …
Ensemble model of non-linear feature selection-based extreme learning machine for improved natural gas reservoir characterization
The deluge of multi-dimensional data acquired from advanced data acquisition tools
requires sophisticated algorithms to extract useful knowledge from such data. Traditionally …
requires sophisticated algorithms to extract useful knowledge from such data. Traditionally …
Optimizing Minimum Miscibility Pressure Prediction Using Machine Learning: A Comprehensive Evaluation and Validation
O Olofinnika, A Selveindran, D Patel… - Energy & Fuels, 2024 - ACS Publications
This study provides the proof-of-concept for identifying the most suitable machine-learning
(ML) model that predicts minimum miscibility pressure (MMP) based on temperature, crude …
(ML) model that predicts minimum miscibility pressure (MMP) based on temperature, crude …
Integrating seismic and log data for improved petroleum reservoir properties estimation using non-linear feature-selection based hybrid computational intelligence …
Various petroleum reservoir properties have been estimated in literature using only one of
log, seismic or production data. The recent trend in data mining is integrating multi-modal …
log, seismic or production data. The recent trend in data mining is integrating multi-modal …
A new model for estimation of bubble point pressure using a bayesian optimized least square gradient boosting ensemble
S Alatefi, AM Almeshal - Energies, 2021 - mdpi.com
Accurate estimation of crude oil Bubble Point Pressure (Pb) plays a vital rule in the
development cycle of an oil field. Bubble point pressure is required in many petroleum …
development cycle of an oil field. Bubble point pressure is required in many petroleum …
Ensemble learning model for petroleum reservoir characterization: a case of feed-forward back-propagation neural networks
Conventional machine learning methods are incapable of handling several hypotheses.
This is the main strength of the ensemble learning paradigm. The petroleum industry is in …
This is the main strength of the ensemble learning paradigm. The petroleum industry is in …
A Data Driven PVT Model to Predict the Oil Formation Volume Factor, Solution GOR and Bubble Point Pressure for Characterizing an Oil Reservoir
Characterizing an oil reservoir requires one to understand the Pressure-Volume-
Temperature (PVT) properties of reservoir fluids, especially bubble point pressure, solution …
Temperature (PVT) properties of reservoir fluids, especially bubble point pressure, solution …