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Application of a convolutional neural network in permeability prediction: A case study in the Jacksonburg-Stringtown oil field, West Virginia, USA
Permeability is a critical parameter for understanding subsurface fluid flow behavior,
managing reservoirs, enhancing hydrocarbon recovery, and sequestering carbon dioxide. In …
managing reservoirs, enhancing hydrocarbon recovery, and sequestering carbon dioxide. In …
A multiple-input deep residual convolutional neural network for reservoir permeability prediction
Permeability plays an essential role in reservoir-related studies, including fluid flow
characterization, reservoir modeling/simulation, and management. However, operational …
characterization, reservoir modeling/simulation, and management. However, operational …
Unlocking the power of artificial intelligence: Accurate zeta potential prediction using machine learning
Nanoparticles have gained significance in modern science due to their unique
characteristics and diverse applications in various fields. Zeta potential is critical in …
characteristics and diverse applications in various fields. Zeta potential is critical in …
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 …
Fracture density estimation from core and conventional well logs data using artificial neural networks: The Cambro-Ordovician reservoir of Mesdar oil field, Algeria
RS Zazoun - Journal of African Earth Sciences, 2013 - Elsevier
Fracture density estimation is an indisputable challenge in fractured reservoir
characterization. Traditional techniques of fracture characterization from core data are costly …
characterization. Traditional techniques of fracture characterization from core data are costly …
Forecasting PVT properties of crude oil systems based on support vector machines modeling scheme
EA El-Sebakhy - Journal of Petroleum Science and Engineering, 2009 - Elsevier
PVT properties are very important in the reservoir engineering computations. There are
numerous approaches for predicting various PVT properties, namely, empirical correlations …
numerous approaches for predicting various PVT properties, namely, empirical correlations …
Prediction of oil PVT properties using neural networks
EA Osman, OA Abdel-Wahhab… - SPE Middle East Oil and …, 2001 - onepetro.org
Reservoir fluid properties are very important in reservoir engineering computations such as
material balance calculations, well test analysis, reserve estimates, and numerical reservoir …
material balance calculations, well test analysis, reserve estimates, and numerical reservoir …
An ROP predictive model in nile delta area using artificial neural networks
MM Amer, AS Dahab, AAH El-Sayed - SPE Kingdom of Saudi Arabia …, 2017 - onepetro.org
Bit performance is a key factor to improve drilling performance and reduce drilling costs;
however, factors controlling bit performance are many and the interactions between these …
however, factors controlling bit performance are many and the interactions between these …
Application of artificial neural networks in a history matching process
LAN Costa, C Maschio, DJ Schiozer - Journal of Petroleum Science and …, 2014 - Elsevier
Reservoir simulation is an important tool for reservoir studies because it enables the testing
of production strategies and to perform forecasts. To obtain a reliable production prediction …
of production strategies and to perform forecasts. To obtain a reliable production prediction …
[HTML][HTML] Development of new correlations for the oil formation volume factor in oil reservoirs using artificial intelligent white box technique
Oil formation volume factor (OFVF) is considered one of the main parameters required to
characterize the crude oil. OFVF is needed in reservoir simulation and prediction of the oil …
characterize the crude oil. OFVF is needed in reservoir simulation and prediction of the oil …