Porosity prediction of tight reservoir rock using well logging data and machine learning DOI Creative Commons

Yawen He,

Hongjun Zhang,

Zhiyu Wu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 16, 2025

Language: Английский

Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects DOI
Hung Vo Thanh, Danial Sheini Dashtgoli,

Hemeng Zhang

et al.

Energy, Journal Year: 2023, Volume and Issue: 278, P. 127860 - 127860

Published: May 17, 2023

Language: Английский

Citations

44
A Robust Strategy of Geophysical Logging for Predicting Payable Lithofacies to Forecast Sweet Spots Using Digital Intelligence Paradigms in a Heterogeneous Gas Field DOI
Umar Ashraf, Hucai Zhang, Hung Vo Thanh

et al.

Natural Resources Research, Journal Year: 2024, Volume and Issue: 33(4), P. 1741 - 1762

Published: May 14, 2024

Language: Английский

Citations

20
Evaluation of facies heterogeneity in reef carbonate reservoirs: A case study from the oil field, Perm Krai, Central-Eastern Russia DOI
Dmitriy A. Martyushev,

Polina O. Chalova,

Shadfar Davoodi

et al.

Geoenergy Science and Engineering, Journal Year: 2023, Volume and Issue: 227, P. 211814 - 211814

Published: May 2, 2023

Language: Английский

Citations

35
Machine learning - a novel approach to predict the porosity curve using geophysical logs data: An example from the Lower Goru sand reservoir in the Southern Indus Basin, Pakistan DOI
Wakeel Hussain, Miao Luo, Muhammad Ali

et al.

Journal of Applied Geophysics, Journal Year: 2023, Volume and Issue: 214, P. 105067 - 105067

Published: May 17, 2023

Language: Английский

Citations

28
Subsurface Hydrogen Storage in Limestone Rocks: Evaluation of Geochemical Reactions and Gas Generation Potential DOI
Ahmed Al‐Yaseri, Ahmed Fatah, Bidoor Alsaif

et al.

Energy & Fuels, Journal Year: 2024, Volume and Issue: 38(11), P. 9923 - 9932

Published: May 14, 2024

Underground hydrogen storage (UHS) in carbonate reservoirs is a suitable solution for safe and efficient recovery during the cycling process. The uncertainties associated with potential geochemical reactions between hydrogen, rock, brine may impact long-term containment of produced formations. Despite current interest studying hydrogen-rock reactions, only limited work available literature. In this study, we experimentally evaluate reactivity rocks to address gas generation induced by reactions. Limestone samples are treated under 1500 psi 75 °C temperature duration 6 13 months using simple reaction cells. Scanning electron microscopy (SEM) analysis performed examine dissolution/precipitation hydrogen. contrast, chromatography (GC analyzer) inductively coupled plasma optical emission spectroscopy (ICP-OES) conducted detect ion precipitation. experimental results indicate no significant treatment on surface morphology pore structure even after treatment, suggesting that abiotic unlikely occur first stages UHS. Furthermore, presence brine, there apparent indications occurring calcite, traces any other gases detected treatment. Besides, solutions' pH remains almost unchanged, minor increase calcium (Ca2+) ions solution, which attributed water, not promisingly support utilization storage.

Language: Английский

Citations

11
Advanced AI approach for enhanced predictive modeling in reservoir characterization within complex geological environments DOI
Wakeel Hussain, Muhammad Ali,

Rakhshanda Sadaf

et al.

Modeling Earth Systems and Environment, Journal Year: 2024, Volume and Issue: 10(4), P. 5043 - 5061

Published: June 14, 2024

Language: Английский

Citations

10
A Comprehensive Study on Optimizing Reservoir Potential: Advanced Geophysical Log Analysis of Zamzama Gas Field, Southern Indus Basin, Pakistan DOI
Saddam Hussain, Asad Atta, Chaohua Guo

et al.

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 135, P. 103640 - 103640

Published: May 20, 2024

Language: Английский

Citations

9
Greening Enhanced Oil Recovery: A Solar Tower and PV-Assisted Approach to Post-Combustion Carbon Capture with Machine Learning Insights DOI Creative Commons
Farzin Hosseinifard,

Milad Hosseinpour,

Mohsen Salimi

et al.

Energy Nexus, Journal Year: 2025, Volume and Issue: unknown, P. 100381 - 100381

Published: Feb. 1, 2025

Language: Английский

Citations

1
Prospect Evaluation of the Cretaceous Yageliemu Clastic Reservoir Based on Geophysical Log Data: A Case Study from the Yakela Gas Condensate Field, Tarim Basin, China DOI Creative Commons
Wakeel Hussain, Muhsan Ehsan, Lin Pan

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(6), P. 2721 - 2721

Published: March 14, 2023

This paper evaluated the oil and gas potential of Cretaceous Yageliemu clastic reservoir within Yakela condensed field lying in Kuqa Depression, Tarim Basin, China. The petrophysical properties interest zones area were characterized using geophysical logs from five wells. results reveal that gas-bearing are by high resistivity, good permeability (K) effective porosity (Φeff), low water saturation (Sw), shale concentration (Vsh), reflecting clean sand. distribution model showed these shales have no major influence on fluid saturation. average volume, porosity, hydrocarbon indicate Formation studied contains prospective properties. spatial parameters, rock typing (RRT), lithofacies analyzed cross plots litho (volumetric analysis), iso-parametric representations characteristics, cluster analysis, self-organizing feature maps, respectively. southeastern northeastern regions research should be ignored because their concentrations. sediments southwest northwest include most intervals considered for future exploration development fields study area.

Language: Английский

Citations

20
Pore structure analysis of storage rocks during geological hydrogen storage: Investigation of geochemical interactions DOI
Ahmed Al‐Yaseri, Ahmed Fatah, Abdulrauf R. Adebayo

et al.

Fuel, Journal Year: 2023, Volume and Issue: 361, P. 130683 - 130683

Published: Dec. 26, 2023

Language: Английский

Citations

20