Petrographical and petrophysical rock typing for flow unit identification and permeability prediction in lower cretaceous reservoir AEB_IIIG, Western Desert, Egypt
A Abo Bakr, HH El Kadi, T Mostafa - Scientific Reports, 2024 - nature.com
The primary objective of this study is to identify and analyze the petrophysical properties of
the newly investigated AEB_IIIG member reservoir in Meleiha West Deep (MWD) Field and …
the newly investigated AEB_IIIG member reservoir in Meleiha West Deep (MWD) Field and …
Evaluating machine learning techniques for carbonate formation permeability prediction using well log data
Machine learning has a significant advantage for many difficulties in the oil and gas industry,
especially when it comes to resolving complex challenges in reservoir characterization …
especially when it comes to resolving complex challenges in reservoir characterization …
[HTML][HTML] Determining the geomechanical units using rock physics methods
The stability of the drilled wellbores in carbonate formations is of great importance. This
paper is a new approach to determine the elastic properties of the wellbore based on rock …
paper is a new approach to determine the elastic properties of the wellbore based on rock …
[HTML][HTML] Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology
Pore size analysis plays a pivotal role in unraveling reservoir behavior and its intricate
relationship with confined fluids. Traditional methods for predicting pore size distribution …
relationship with confined fluids. Traditional methods for predicting pore size distribution …
[PDF][PDF] Petroleum Research
LF AL-Kaaby, S Rashidi, R Ghamarpoor, S Hosseini… - 2024 - researchgate.net
abstract The stability of the drilled wellbores in carbonate formations is of great importance.
This paper is a new approach to determine the elastic properties of the wellbore based on …
This paper is a new approach to determine the elastic properties of the wellbore based on …
Estimating Permeability in Carbonate Reservoirs Using Artificial Neural Networks and K-Nearest Neighbor Algorithm
SJ Safavi, R Maldar - Journal of Petroleum Research, 2024 - pr.ripi.ir
Permeability is one of the most important petrophysical properties of hydrocarbon reservoirs.
Estimating permeability is a challenge that petroleum engineers face, particularly in …
Estimating permeability is a challenge that petroleum engineers face, particularly in …
[PDF][PDF] Artificial Intelligence in Geosciences
Pore size analysis plays a pivotal role in unraveling reservoir behavior and its intricate
relationship with confined fluids. Traditional methods for predicting pore size distribution …
relationship with confined fluids. Traditional methods for predicting pore size distribution …
The Effect of Geological Parameters on the Ratio of Horizontal to Vertical Permeability in Carbonate Reservoirs of Kangan and Upper Dalan Formations
M Hosseinzadeh, V Tavakoli - Journal of Petroleum Research, 2022 - pr.ripi.ir
The aim of the present study is to investigate the permeability changes and the ratio of
horizontal to vertical permeability in Kangan and Upper Dalan carbonate reservoirs. The …
horizontal to vertical permeability in Kangan and Upper Dalan carbonate reservoirs. The …
[PDF][PDF] Prediction of Total Organic Carbon (TOC) Utilizing ΔlogR and Artificial Neural Network (ANN) Methods and Geochemical Facies Determination of Kazhdumi …
K Rezaeeparto, H Bagheri - Advanced Applied Geology, 2023 - journals.scu.ac.ir
The Zagros Basin is one of the essential basins in the world, which has NW-SE extensions
and is located in the most important oil and gas fields of the world. Geochemical parameters …
and is located in the most important oil and gas fields of the world. Geochemical parameters …