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 …

W Hussain, M Luo, M Ali, SM Hussain, S Ali… - Journal of Applied …, 2023 - Elsevier
Porosity estimation is one of the essential issues in oil and natural gas industries to evaluate
the reservoir characteristics properly. Therefore, it is imperative to predict porosity with the …

Estimation of porosity and volume of shale using artificial intelligence, case study of Kashafrud Gas Reservoir, NE Iran

PN Ardebili, G Jozanikohan, A Moradzadeh - Journal of Petroleum …, 2024 - Springer
The key problem in oil exploration and engineering is the lack of accurate and reliable data
about the reservoir parameters of a field. Having a precise assessment of petrophysical …

Pore Pressure Prediction for High-Pressure Tight Sandstone in the Huizhou Sag, Pearl River Mouth Basin, China: A Machine Learning-Based Approach

J Feng, Q Wang, M Li, X Li, K Zhou, X Tian… - Journal of Marine …, 2024 - mdpi.com
A growing number of large data sets have created challenges for the oil and gas industry in
predicting reservoir parameters and assessing well productivity through efficient and cost …

[HTML][HTML] Advancing Reservoir Evaluation: Machine Learning Approaches for Predicting Porosity Curves

N Ali, X Fu, J Chen, J Hussain, W Hussain, N Rahman… - Energies, 2024 - mdpi.com
Porosity assessment is a vital component for reservoir evaluation in the oil and gas sector,
and with technological advancement, reliance on conventional methods has decreased. In …

A Gamma-ray spectroscopy approach to evaluate clay mineral composition and depositional environment: A case study from the lower Goru Formation, Southern …

W Hussain, M Luo, M Ali, HF Al-Khafaji… - Journal of Applied …, 2024 - Elsevier
Sandstone reservoirs often consist of clay minerals, including kaolinite, illite, and chlorite.
These clay minerals have a pronounced effect on the reservoir quality, which makes their …

Advanced AI approach for enhanced predictive modeling in reservoir characterization within complex geological environments

W Hussain, M Ali, R Sadaf, HF Al-Khafaji… - Modeling Earth Systems …, 2024 - Springer
Presently, various machine learning techniques are commonly used to enhance reservoir
properties, including fuzzy logic, neural networks, cluster analysis, self-organizing maps …

An Integrated Approach for the Assessment of Hydrocarbon Potential in Carbonate Reservoirs: Potwar Plateau, Pakistan

M Ehsan, RW Munir, MAU Latif - Journal of GeoEnergy, 2024 - Wiley Online Library
The Potwar Plateau region of the Upper Indus Basin in Pakistan is known for its complex
carbonate reservoirs, which pose significant challenges for hydrocarbon exploration and …

Prospect evaluation of the Paleogene Sokor-1 reservoirs in Fana Field, Termit Basin (Niger Republic) using geophysical well logs and sedimentological data

AY Issaka, OA Ehinola, O Oluwajana… - Arabian Journal of …, 2024 - Springer
The present study evaluated the Paleogene Sokor-1 clastic reservoirs in the Fana Field on
the Agadem Block, Termit Basin, Niger Republic. The evaluation of the hydrocarbon …

Petrophysical properties evaluation and reservoir characterization of a giant gas field: Bangladesh case study

M Hasan, B Mondol, L Chen, MW Manzoor - Arabian Journal of …, 2023 - Springer
Understanding the factors affecting reservoir quality and producing wells requires an in-
depth knowledge of petrophysical analysis. The study employed wireline log data from three …

An enhanced accuracy method for monitoring formation water salinity utilizing elemental spectroscopy logging

J Fan, W Chen, A Yue, Q Zhang, F Zhang - Geoenergy Science and …, 2024 - Elsevier
The accurate determination of formation water salinity is crucial for petroleum exploration
and development, as it plays a significant role in determining reservoir parameters. The …