Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review

S Zendehboudi, N Rezaei, A Lohi - Applied energy, 2018 - Elsevier
Mathematical modeling and simulation methods are important tools in studying various
processes in science and engineering. In the current review, we focus on the applications of …

Application of machine learning models for real-time prediction of the formation lithology and tops from the drilling parameters

AA Mahmoud, S Elkatatny, A Al-AbdulJabbar - Journal of Petroleum …, 2021 - Elsevier
Lithology changes significantly affect the drilling program and the total cost of drilling an oil
well, therefore, it is very important to detect the lithology variation and formation tops while …

Intelligent prediction for rock porosity while drilling complex lithology in real time

H Gamal, S Elkatatny, A Alsaihati… - Computational …, 2021 - Wiley Online Library
Rock porosity is an important parameter for the formation evaluation, reservoir modeling,
and petroleum reserve estimation. The conventional methods for determining the rock …

Real-time prediction of Poisson's ratio from drilling parameters using machine learning tools

O Siddig, H Gamal, S Elkatatny, A Abdulraheem - Scientific Reports, 2021 - nature.com
Rock elastic properties such as Poisson's ratio influence wellbore stability, in-situ stresses
estimation, drilling performance, and hydraulic fracturing design. Conventionally, Poisson's …

Prediction model based on an artificial neural network for rock porosity

H Gamal, S Elkatatny - Arabian Journal for Science and Engineering, 2022 - Springer
The rock porosity is considered a key petrophysical property for the rock due to its great
impact on the hydrocarbon reserve estimation and petroleum economics. The conventional …

Applying different artificial intelligence techniques in dynamic Poisson's ratio prediction using drilling parameters

O Siddig, H Gamal, S Elkatatny… - Journal of Energy …, 2022 - asmedigitalcollection.asme.org
Rock geomechanical properties impact wellbore stability, drilling performance, estimation of
in situ stresses, and design of hydraulic fracturing. One of these properties is Poisson's ratio …

[图书][B] Handbook of energy transitions

M Asif - 2022 - api.taylorfrancis.com
The global energy scenario is undergoing an unprecedented transition. In the wake of
enormous challenges, such as increased population, higher energy demands, increasing …

Artificial Intelligence Model in Predicting Geomechanical Properties for Shale Formation: A Field Case in Permian Basin

F Nath, SM Asish, D Ganta, HR Debi, G Aguirre… - Energies, 2022 - mdpi.com
Due to complexities in geologic structure, heterogeneity, and insufficient borehole
information, shale formation faces challenges in accurately estimating the elastic properties …

Infill drilling optimization for enhanced oil recovery by waterflooding: A simulation study

GC Mwakipunda, Z Yang, C Guo - Journal of Energy Engineering, 2023 - ascelibrary.org
There are many mature oil fields in the North Sea. One of them is the Clair Oil Field, located
on the United Kingdom Continental Shelf (UKCS) in Scotland. This oil field is unique …

Machine Learning Model for Monitoring Rheological Properties of Synthetic Oil-Based Mud

A Alsabaa, H Gamal, S Elkatatny, Y Abdelraouf - ACS omega, 2022 - ACS Publications
The drilling fluid rheology is a critical parameter during the oil and gas drilling operation to
achieve optimum drilling performance without nonproductive time or extra remedial …