Reservoir quality prediction of gas-bearing carbonate sediments in the Qadirpur field: Insights from advanced machine learning approaches of SOM and cluster …
The detailed reservoir characterization was examined for the Central Indus Basin (CIB),
Pakistan, across Qadirpur Field Eocene rock units. Various petrophysical parameters were …
Pakistan, across Qadirpur Field Eocene rock units. Various petrophysical parameters were …
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 …
Prospect evaluation of the cretaceous Yageliemu clastic reservoir based on geophysical log data: a case study from the Yakela gas condensate field, Tarim Basin …
This paper evaluated the oil and gas potential of the Cretaceous Yageliemu clastic reservoir
within the Yakela condensed gas field lying in the Kuqa Depression, Tarim Basin, China …
within the Yakela condensed gas field lying in the Kuqa Depression, Tarim Basin, China …
[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 …
[HTML][HTML] Evaluation of unconventional hydrocarbon reserves using petrophysical analysis to characterize the Yageliemu Formation in the Yakela gas condensate field …
The current findings emphasize interpreting wireline logs to assess the hydrocarbon
prospect of the Lower Cretaceous Yageliemu Formation in the Yakela (YKL) gas …
prospect of the Lower Cretaceous Yageliemu Formation in the Yakela (YKL) gas …
Simulation of Rock Electrical Properties in Deep Reservoirs Based on Digital Rock Technology
S Shang, Q Gao, Y Cui, P Wang, Z Zhang, Y Yuan… - Processes, 2023 - mdpi.com
Deep reservoirs are in a high-pressure and high-temperature (HPHT) environment, while
the experimental conditions for rock electrical properties that meet the deep reservoir …
the experimental conditions for rock electrical properties that meet the deep reservoir …
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 …
[HTML][HTML] 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 …
Flow unit classification and characterization with emphasis on the clustering methods: a case study in a highly heterogeneous carbonate reservoir, eastern margin of …
M Homaie, A Mahboubi, DJ Hartmann… - Journal of Petroleum …, 2024 - Springer
Previous attempts to classify flow units in Iranian carbonate reservoirs, based on porosity
and permeability, have faced challenges in correlating the rock's pore size distribution with …
and permeability, have faced challenges in correlating the rock's pore size distribution with …
[HTML][HTML] Sedimentary characteristics and development model of the bedded evaporites in the Paleogene Kumugeliemu formation, Kuqa depression, Northwestern …
In recent years, extensive exploration has contributed to significant advancements in the
geological formations of the Kuqa Depression. In particular, the Paleogene Kumugeliemu …
geological formations of the Kuqa Depression. In particular, the Paleogene Kumugeliemu …