Artificial intelligence techniques and their application in oil and gas industry

S Choubey, GP Karmakar - Artificial Intelligence Review, 2021 - Springer
Data are being continuously generated from various operational steps in the oil and gas
industry. The recordings of these data and their proper utilization have become a major …

Classifying lithofacies from textural features in whole core CT-scan images

K Chawshin, A Gonzalez, CF Berg… - … Reservoir Evaluation & …, 2021 - onepetro.org
X-ray computerized tomography (CT) is a nondestructive method of providing information
about the internal composition and structure of whole core reservoir samples. In this study …

Geological facies prediction using computed tomography in a machine learning and deep learning environment

U Odi, T Nguyen - SPE/AAPG/SEG Unconventional Resources …, 2018 - onepetro.org
Abstract Machine learning and deep learning, a subset of machine learning, have become
successful predictive modeling tools. Machine learning applications include classifying DNA …

Lithology classification of whole core CT scans using convolutional neural networks

K Chawshin, CF Berg, D Varagnolo, O Lopez - SN Applied Sciences, 2021 - Springer
X-ray computerized tomography (CT) images as digital representations of whole cores can
provide valuable information on the composition and internal structure of cores extracted …

Predicting the efficiency of bare silica-based nano-fluid flooding in sandstone reservoirs for enhanced oil recovery through machine learning techniques using …

F Ali, MA Khan, G Haider, A ul-Haque, Z Tariq… - Applied …, 2022 - Springer
Determining additional oil recovery from a silica nano-fluid enhanced oil recovery project is
essential prior to its field scale application to prepare economic feasibility of the project …

A deep-learning approach for lithological classification using 3D whole core CT-scan images

K Chawshin, CF Berg, D Varagnolo… - SPWLA Annual Logging …, 2021 - onepetro.org
CT scan images provide valuable three-dimensional information on the mineralogical
composition and overall internal structure of cores. X-ray computerized tomography (CT) …

Prediction of Run Life of Electrical Submersible Pumps by Machine Learning in the Egyptian Western Desert.

SK Elsayed, MH Menissi, O Magdy - Petroleum & Coal, 2022 - search.ebscohost.com
Abstract Electrical Submersible Pump (ESP) is one of the most common artificial-lift methods
in oil fields worldwide, due to its large volume capacity and wide range of sizes. Despite the …

[HTML][HTML] The Petrochemical Industry: Balancing Demand with Sustainability through AI-Powered Analysis

AMP Raj Shah - petro-online.com
The petrochemical industry underpins global infrastructure, providing the essential building
blocks for a vast array of products and processes. Petrochemicals are integral to modern …

[PDF][PDF] Classifying Lithofacies from Textural Features in Whole Core CT-Scan Images

Z Heidari, ASA Equinor - 2021 - researchgate.net
X-ray computerized tomography (CT) is a nondestructive method of providing information
about the internal composition and structure of whole core reservoir samples. In this study …

ИСКУССТВЕННЫЕ НЕЙРОННЫЕ СЕТИ В НЕФТЕГАЗОВОЙ ОТРАСЛИ

ГМ Кривилев, ДО Бобков - Сборник тезисов VIII Научно-практической …, 2018 - elibrary.ru
Будущее нефтедобывающей отрасли тесно связано с «умными» месторождениями,
позволяющими компаниям максимально автоматизировать процесс добычи …