A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization

L Wang, Y Yao, X Luo, CD Adenutsi, G Zhao, F Lai - Fuel, 2023 - Elsevier
Aiming to find the most suitable development schemes of conventional and unconventional
reservoirs for maximum energy supply or economic benefits, reservoir production …

A supervised machine learning model to select a cost-effective directional drilling tool

M Nour, SK Elsayed, O Mahmoud - Scientific Reports, 2024 - nature.com
With the increased directional drilling activities in the oil and gas industry, combined with the
digital revolution amongst all industry aspects, the need became high to optimize all …

A Review of Optimization Methods for Production and Injection Well Placement in Hydrocarbon Reservoirs

H Nikravesh, A Ranjbar, Y Kazemzadeh, Z Nikravesh - Heliyon, 2024 - cell.com
Well placement optimization is a crucial issue in the oil and gas industry, aiming to enhance
efficiency and reduce costs. In this study, we investigate research conducted on optimizing …

[HTML][HTML] Adaptive proxy-based robust production optimization with multilayer perceptron

CSW Ng, AJ Ghahfarokhi - Applied Computing and Geosciences, 2022 - Elsevier
Abstract Machine learning (ML) has been a technique employed to build data-driven models
that can map the relationship between the input and output data provided. ML-based data …

[HTML][HTML] Sequential production of two oil fields with an option to switch

S Fedorov, MN Amar, V Hagspiel, T Lerdahl - Journal of Petroleum Science …, 2022 - Elsevier
Re-using existing infrastructure has become a standard approach for the development of
marginal offshore oil fields. Many small discoveries are, however, located in remote areas or …

Optimal sequential decision-making in geosteering: A reinforcement learning approach

RB Muhammad, S Alyaev, RB Bratvold - arXiv preprint arXiv:2310.04772, 2023 - arxiv.org
Trajectory adjustment decisions throughout the drilling process, called geosteering, affect
subsequent choices and information gathering, thus resulting in a coupled sequential …

[HTML][HTML] Joint well-placement and well-control optimization for energy-efficient water flooding of oil fields

IGAG Angga, PES Bergmo, CF Berg - Geoenergy Science and Engineering, 2023 - Elsevier
Hydrocarbon production driven by water flooding is energy-intensive. This paper presents
well-placement and joint well-placement-and-control optimization studies with objective …

A Comprehensive Review of Advancements in AI-Based Techniques for Field Development Optimization

MA Al-Ismael, MS Jamal, AA Awotunde - Arabian Journal for Science and …, 2024 - Springer
Optimizing well placement and production strategy in hydrocarbon reservoirs is a critical
task during field development planning. Various optimization algorithms have been …

[HTML][HTML] The effect of hydrocarbon prices and CO2 emission taxes on drainage strategies

HRD Sutoyo, H Schümann, CF Berg - Geoenergy Science and Engineering, 2024 - Elsevier
Secondary recovery methods, such as water and gas injection, are effective and cost-
efficient techniques for enhancing hydrocarbon recovery; however, they are highly energy …

[HTML][HTML] Recent Trends in Proxy Model Development for Well Placement Optimization Employing Machine Learning Techniques

S Salasakar, S Prakash, G Thakur - Modelling, 2024 - mdpi.com
Well placement optimization refers to the identification of optimal locations for wells
(producers and injectors) to maximize net present value (NPV) and oil recovery. It is a …