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 …

Surrogate modeling and global sensitivity analysis for the simultaneous growth of multiple hydraulic fractures

S Cheng, B Wu, M Zhang, X Zhang, Y Han… - Computers and …, 2023 - Elsevier
Hydraulic fracturing has been widely used in enhancing the conductivity of the rock
formations and increasing the rate of extraction of unconventional resources. During …

[HTML][HTML] Modeling CO2 loading capacity of triethanolamine (TEA) aqueous solutions via a deep learning approach

F Hadavimoghaddam, B Amiri-Ramsheh, S Atashrouz… - Energy, 2024 - Elsevier
Capturing carbon dioxide (CO 2) from natural gas is essential for reducing CO 2 emissions
as a greenhouse gas as well as increasing the gas heating value. Absorption of CO 2 by …

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 …

Efficient optimization of fracturing parameters with consideration of fracture propagation and heterogeneity in tight gas reservoirs

S Luo, H Tang, L Zhang, T Wang, Y Zhao… - Computers & …, 2024 - Elsevier
The parameters of fractures, such as fracture geometries, placement, and conductivity, are
critical for the production of horizontal wells in tight gas reservoirs. Current studies on …

Deep Learning-Based Surrogate-Assisted Intelligent Optimization Framework for Reservoir Production Schemes

L Wang, H Wang, L Zhang, L Zhang, R Deng… - Natural Resources …, 2025 - Springer
Determination of reservoir production schemes has always been a difficult problem during
the close-loop management of waterflooding reservoir. Different well control results in …

Integrating Multi-Source Experiment Data and Variational Diffusion Model for Intelligent Constructing Digital Core: A Case Study of Sandstone Reservoir in the Turgay …

L Wang, L Zhang, R Deng, H Wang, X Zhao… - SPE Caspian Technical …, 2024 - onepetro.org
Digital core technology is increasingly indispensable for the purpose of efficient
development of sandstone reservoir in the Turgay basin central south Kazakhstan which …

Accelerated Inversion Workflow Coupling Deep Learning and ES-MDA for DTS Data: A Case Study of Horizontal Well in Middle East Carbonate Reservoir

R Deng, L Zhang, L Wang, X Zhao, B Kang… - SPE Asia Pacific Oil …, 2024 - onepetro.org
Distributed temperature sensing (DTS) has been widely adopted in the real-time well
monitoring of horizontal wells in Middle East carbonate reservoirs, efficiently inversing DTS …

[HTML][HTML] A Novel Surrogate-Assisted Multi-Objective Well Control Parameter Optimization Method Based on Selective Ensembles

L Wang, R Deng, L Zhang, J Qu, H Wang, L Zhang… - Processes, 2024 - mdpi.com
Multi-objective optimization algorithms are crucial for addressing real-world problems,
particularly with regard to optimizing well control parameters, which are often …

[HTML][HTML] Optimization of fracturing parameters for horizontal wells in high-sulfur gas reservoirs considering the effect of sulfur deposition

C Sun, Z Zhao, J Hu, Y Zhang, Y Cai, J Lu - Petroleum Research, 2024 - Elsevier
During the development of high-sulfur gas reservoirs, the precipitation and deposition of
elemental sulfur can lead to a reduction in reservoir porosity and permeability. Previous …