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 …

[HTML][HTML] A survey on multi-objective, model-based, oil and gas field development optimization: Current status and future directions

A Rostamian, MB de Moraes, DJ Schiozer, GP Coelho - Petroleum Science, 2024 - Elsevier
In the area of reservoir engineering, the optimization of oil and gas production is a complex
task involving a myriad of interconnected decision variables shaping the production system's …

Evaluation of different machine learning frameworks to predict CNL-FDC-PEF logs via hyperparameters optimization and feature selection

A Rostamian, E Heidaryan, M Ostadhassan - Journal of Petroleum Science …, 2022 - Elsevier
Although being expensive and time-consuming, petroleum industry still is highly reliant on
well logging for data acquisition. However, with advancements in data science and AI …

NMR log response prediction from conventional petrophysical logs with XGBoost-PSO framework

B Liu, A Rostamian, M Kheirollahi, SF Mirseyed… - Geoenergy Science and …, 2023 - Elsevier
A combined approach that exploits both the eXtreme Gradient Boosting (XGBoost) method
and the Particle Swarm Optimization (PSO) method was used here to predict the nuclear …

A novel multi-objective optimization method for well control parameters based on PSO-LSSVR proxy model and NSGA-II algorithm

L Wang, ZP Li, CD Adenutsi, L Zhang, FP Lai… - Journal of Petroleum …, 2021 - Elsevier
Single-objective well control problems have been studied for many years as one of the most
typical optimization problems by researchers worldwide. However, single-objective …

Modeling, simulation, and optimization of geothermal energy production from hot sedimentary aquifers

L Blank, E Meneses Rioseco, A Caiazzo… - Computational …, 2021 - Springer
Geothermal district heating development has been gaining momentum in Europe with
numerous deep geothermal installations and projects currently under development. With the …

Analysis of different objective functions in petroleum field development optimization

A Rostamian, MV de Sousa Miranda… - Journal of Petroleum …, 2024 - Springer
Oilfield development optimization plays a vital role in maximizing the potential of
hydrocarbon reservoirs. Decision-making in this complex domain can rely on various …

Intelligent kick warning based on drilling activity classification

S Duan, X Song, Y Cui, Z Xu, W Liu, J Fu, Z Zhu… - Geoenergy Science and …, 2023 - Elsevier
Kick is one of the risks that frequently occur in the drilling process, so efficient and precision
warning is very important. The missed warning will cause a blowout, which seriously affects …

A novel self-adaptive multi-fidelity surrogate-assisted multi-objective evolutionary algorithm for simulation-based production optimization

L Wang, Y Yao, T Zhang, CD Adenutsi, G Zhao… - Journal of Petroleum …, 2022 - Elsevier
Multi-objective production optimization (MOPO) which aims at finding an optimal well control
scheme is regarded as a win-win strategy for improving economic and production gains …

Experimental study on dynamic characteristics of axial-torsional coupled percussive drilling

Z Mu, Z Huang, Z Sun, X Wu, G Li, X Song - Journal of Petroleum Science …, 2022 - Elsevier
Axial-torsional coupled percussive drilling is a novel technology to enhance the rate of
penetration (ROP), which takes advantage of both axial and torsional percussive drilling …