Application of machine learning techniques for selecting the most suitable enhanced oil recovery method; challenges and opportunities

Y Cheraghi, S Kord, V Mashayekhizadeh - Journal of Petroleum Science …, 2021 - Elsevier
A reliable method for selecting the most suitable Enhanced Oil Recovery (EOR) method is of
a high necessity in reservoir engineering. Machine Learning (ML) techniques have been …

[HTML][HTML] A survey on the application of machine learning and metaheuristic algorithms for intelligent proxy modeling in reservoir simulation

CSW Ng, MN Amar, AJ Ghahfarokhi… - Computers & Chemical …, 2023 - Elsevier
Abstract Machine Learning (ML) has demonstrated its immense contribution to reservoir
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …

Supervised deep learning-based paradigm to screen the enhanced oil recovery scenarios

R Kumar Pandey, A Gandomkar, B Vaferi, A Kumar… - Scientific Reports, 2023 - nature.com
High oil prices and concern about limited oil reserves lead to increase interest in enhanced
oil recovery (EOR). Selecting the most efficient development plan is of high interest to …

A new machine learning ensemble model for class imbalance problem of screening enhanced oil recovery methods

M Pirizadeh, N Alemohammad, M Manthouri… - Journal of Petroleum …, 2021 - Elsevier
Abstract Enhanced Oil Recovery (EOR) methods have received a lot of attention today due
to the increase in global oil demand and the reduction of oil production capacity from natural …

Toward evaluation and screening of the enhanced oil recovery scenarios for low permeability reservoirs using statistical and machine learning techniques

M Mahdaviara, M Sharifi, M Ahmadi - Fuel, 2022 - Elsevier
The concurrence of the oil demand increment and running out of fossil fuels have brought
about special attention toward the tight and low permeability reservoirs. The decision …

Effect of enhanced oil recovery on the composition and rheological properties of heavy crude oil

LA Strelets, SO Ilyin - Journal of Petroleum Science and Engineering, 2021 - Elsevier
The composition and rheological properties of ten samples of heavy crude oil from five
different wells were investigated before and after integrated oilfield treatment with gel …

Automated well-log processing and lithology classification by identifying optimal features through unsupervised and supervised machine-learning algorithms

H Singh, Y Seol, EM Myshakin - SPE Journal, 2020 - onepetro.org
The application of specialized machine learning (ML) in petroleum engineering and
geoscience is increasingly gaining attention in the development of rapid and efficient …

Impact of newly implemented enhanced oil and gas recovery screening policy on current oil production and future energy supply in India

A Bera, RK Vij, S Shah - Journal of Petroleum Science and Engineering, 2021 - Elsevier
A significant amount of current oil production in India comes from the matured fields.
Insufficient discovery of new oil and gas fields raises a momentous issue for the demand of …

Evaluation of enhanced oil recovery methods for mature continental heavy oil fields in China based on geology, technology and sustainability criteria

Y Yao, D Sun, JH Xu, B Wang, G Peng, B Sun - Energy, 2023 - Elsevier
Enhanced oil recovery (EOR) methods in mature oil fields play an irreplaceable role in
supporting the long-term and stable production of crude oil. This study establishes a unified …

Data-driven prediction of in situ CO 2 foam strength for enhanced oil recovery and carbon sequestration

J Iskandarov, GS Fanourgakis, S Ahmed, W Alameri… - RSC …, 2022 - pubs.rsc.org
Carbon dioxide foam injection is a promising enhanced oil recovery (EOR) method, being at
the same time an efficient carbon storage technology. The strength of CO2 foam under …