[PDF][PDF] Recent advances and challenges in gas injection techniques for enhanced oil recovery

W Ozowe, GO Daramola… - Magna Scientia Advanced …, 2023 - researchgate.net
Gas injection techniques have emerged as a pivotal method in Enhanced Oil Recovery
(EOR), aimed at maximizing the extraction of oil from mature reservoirs. Recent advances in …

Reservoir property prediction in the North Sea using machine learning

A Al-Fakih, SI Kaka, AI Koeshidayatullah - IEEE Access, 2023 - ieeexplore.ieee.org
The North Sea sedimentary basin is characterized by geological complexity, encompassing
a wide range of rock types and structures, including multiple reservoirs (carbonates and …

Recent Advances in Carbon Dioxide Sequestration in Deep Unmineable Coal Seams Using CO2-ECBM Technology: Experimental Studies, Simulation, and Field …

GC Mwakipunda, Y Wang, MM Mgimba… - Energy & …, 2023 - ACS Publications
CO2-enhanced coalbed methane (CO2-ECBM) technology helps to store CO2 while
producing a clean source of energy (CH4) through the sorption process. This technique can …

[HTML][HTML] A novel governing equation for shale gas production prediction via physics-informed neural networks

H Wang, M Wang, S Chen, G Hui, Y Pang - Expert Systems with …, 2024 - Elsevier
Shale gas has become increasingly important due to the high demand for energy worldwide.
Therefore, accurate and fast production forecasting is of paramount importance, and decline …

Physics-Informed Neural Networks for Multiphase Flow in Porous Media Considering Dual Shocks and Interphase Solubility

J Zhang, U Braga-Neto, E Gildin - Energy & Fuels, 2024 - ACS Publications
Physics-informed neural networks (PINNs) integrate physical principles into machine
learning, finding wide applications in various scientific and engineering fields. However …

An Unsupervised Anomaly Detection Based on Self-Organizing Map for the Oil and Gas Sector

L Concetti, G Mazzuto, FE Ciarapica, M Bevilacqua - Applied Sciences, 2023 - mdpi.com
Anomaly detection plays a crucial role in preserving industrial plant health. Detecting and
identifying anomalies helps prevent any production system from damage and failure. In …

Advancing Petroleum Engineering Solutions: Integrating Physics-Informed Neural Networks for Enhanced Buckley-Leverett Model Analysis

J Zhang, U Braga-Neto, E Gildin - arXiv preprint arXiv:2404.12502, 2024 - arxiv.org
Physics-Informed Neural Networks (PINNs) integrate physical principles-typically
mathematical models expressed as differential equations-into the machine learning (ML) …

Initial-Productivity Prediction Method of Oil Wells for Low-Permeability Reservoirs Based on PSO-ELM Algorithm

B Zhao, B Ju, C Wang - Energies, 2023 - mdpi.com
Conventional numerical solutions and empirical formulae for predicting the initial
productivity of oil wells in low-permeability reservoirs are limited to specific reservoirs and …

Reservoir modeling & simulation: Advancements, challenges, and future perspectives

Y Khalili, M Ahmadi - Journal of Chemical and Petroleum Engineering, 2023 - jchpe.ut.ac.ir
Reservoir modeling and simulation play a pivotal role in the field of reservoir engineering,
enabling efficient hydrocarbon recovery and reservoir management. This article provides an …

Reservoir quality drivers in the Oligo-Miocene Asmari Formation, Dezful Embayment, Iran: facies, diagenesis, and tectonic controls

R Fallah-Bagtash, A Bayet-Goll, A Omidpour… - Marine and Petroleum …, 2025 - Elsevier
Abstract The Oligo-Miocene Asmari Formation in the Shadegan Oil Field, located in the
Dezful Embayment in southwestern Iran, is renowned for its complex geological …