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 …
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 …
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
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 …
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 …
predicting reservoir parameters and assessing well productivity through efficient and cost …
[HTML][HTML] Advancing Reservoir Evaluation: Machine Learning Approaches for Predicting Porosity Curves
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 …
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 …
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 …
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
Presently, various machine learning techniques are commonly used to enhance reservoir
properties, including fuzzy logic, neural networks, cluster analysis, self-organizing maps …
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 …
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 …
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 …
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 …
and development, as it plays a significant role in determining reservoir parameters. The …