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Hydrocarbon production dynamics forecasting using machine learning: A state-of-the-art review
Accurate prediction of hydrocarbon production is crucial for the oil and gas industry.
However, the strong heterogeneity of underground formation, the inconsistency in oil–gas …
However, the strong heterogeneity of underground formation, the inconsistency in oil–gas …
Lithological facies classification using deep convolutional neural network
The aim of this paper is the development of an effective model based on deep learning for
geological facies classification in wells. Facies classification is carried out by studying the …
geological facies classification in wells. Facies classification is carried out by studying the …
[HTML][HTML] Implementation of multilayer perceptron (MLP) and radial basis function (RBF) neural networks to predict solution gas-oil ratio of crude oil systems
AH Fath, F Madanifar, M Abbasi - Petroleum, 2020 - Elsevier
Exact determination of pressure-volume-temperature (PVT) properties of the reservoir oils is
necessary for reservoir calculations, reservoir performance prediction, and the design of …
necessary for reservoir calculations, reservoir performance prediction, and the design of …
Application of machine learning and genetic algorithms to the prediction and optimization of biodiesel yield from waste cooking oil
The synthesis and usage of biodiesel have become the focus of extensive research due to
the ever-increasing emphasis on the development of sustainable and renewable sources …
the ever-increasing emphasis on the development of sustainable and renewable sources …