Experimental simulation of fracture propagation and extension in hydraulic fracturing: A state-of-the-art review

J Yu, N Li, B Hui, W Zhao, Y Li, J Kang, P Hu, Y Chen - Fuel, 2024 - Elsevier
With the continuous advancement of oil and gas field development technologies, there has
been an increasing focus on the exploration of unconventional oil and gas resources, such …

A Comprehensive Summary of the Application of Machine Learning Techniques for CO2-Enhanced Oil Recovery Projects

X Du, S Salasakar, G Thakur - Machine Learning and Knowledge …, 2024 - mdpi.com
This paper focuses on the current application of machine learning (ML) in enhanced oil
recovery (EOR) through CO2 injection, which exhibits promising economic and …

A review on optimization algorithms and surrogate models for reservoir automatic history matching

Y Zhao, R Luo, L Li, R Zhang, D Zhang, T Zhang… - Geoenergy Science and …, 2024 - Elsevier
Reservoir history matching represents a crucial stage in the reservoir development process
and purposes to match model predictions with various observed field data, including …

A comprehensive analysis of sensitivity in simulation models for enhanced system understanding and optimisation

P Grznár, M Gregor, Š Mozol, L Mozolová, H Krump… - Processes, 2024 - mdpi.com
This article delves into sensitivity analysis within simulation models of real systems, focusing
on the impact of variability in independent input factors (x) on dependent system outputs (y) …

Parameter identification and state of charge estimation for lithium-ion batteries under wide temperature range

K Chen, H Pang, W Nan, F Wang, S Yang, J Liu - Ionics, 2024 - Springer
Accurate estimation of the state of charge (SOC) for lithium-ion batteries (LIBs) has now
become a crucial work in develo** a battery management system. In this paper, the …

Proxy-based Bayesian inversion of strain tensor data measured during well tests

S Roudini, LC Murdoch, M Shojaei, S DeWolf - Geomechanics for Energy …, 2023 - Elsevier
Recent instrument developments have made it possible to measure the strain tensor caused
by injecting or pum** fluid from aquifers or reservoirs, but the full value of these data is …

End-to-end dimensionality reduction and regression from 3D geological uncertainties to estimate oil reservoir simulations

J Farfan, G Cirac, GD Avansi, C Maschio… - Applied Soft …, 2024 - Elsevier
Managing geological uncertainties in reservoir engineering involves significant challenges
mainly due to the prohibitive computational costs of traditional simulation methods. These …

[HTML][HTML] Progress of Gas Injection EOR Surveillance in the Bakken Unconventional Play—Technical Review and Machine Learning Study

J Zhao, L **, X Yu, NA Azzolina, X Wan, SA Smith… - Energies, 2024 - mdpi.com
Although considerable laboratory and modeling activities were performed to investigate the
enhanced oil recovery (EOR) mechanisms and potential in unconventional reservoirs, only …

A convolutional neural network-based proxy model for field production prediction and history matching

B Yan, Z Zhong, B Bai - Gas Science and Engineering, 2024 - Elsevier
Production prediction has been playing an essential role in reservoir development and
management. Reservoir history matching, typically involving time-consuming numerical …