Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms

M Rajabi, O Hazbeh, S Davoodi, DA Wood… - Journal of Petroleum …, 2023 - Springer
Shear wave velocity (VS) data from sedimentary rock sequences is a prerequisite for
implementing most mathematical models of petroleum engineering geomechanics …

Robust computational approach to determine the safe mud weight window using well-log data from a large gas reservoir

S Beheshtian, M Rajabi, S Davoodi, DA Wood… - Marine and Petroleum …, 2022 - Elsevier
A key parameter when drilling for gas and oil is to determine the safe mud weight window
(SMWW) to ensure wellbore stability as part of a quantitative risk assessment (QRA). This …

Research progress of machine-learning algorithm for formation pore pressure prediction

H Pan, S Deng, C Li, Y Sun, Y Zhao… - Petroleum Science and …, 2025 - Taylor & Francis
Formation pore pressure is one of the most important basic data in petroleum exploration
and development. The traditional prediction model of formation pore pressure relies on …

Prediction of fracture density in a gas reservoir using robust computational approaches

G Gao, O Hazbeh, S Davoodi, S Tabasi… - Frontiers in Earth …, 2023 - frontiersin.org
One of the challenges that reservoir engineers, drilling engineers, and geoscientists face in
the oil and gas industry is determining the fracture density (FVDC) of reservoir rock. This …

Application of GMDH model to predict pore pressure

G Gao, O Hazbeh, M Rajabi, S Tabasi… - Frontiers in Earth …, 2023 - frontiersin.org
Pore pressure (PP) is one of the essential and very critical parameters in the oil and gas
industry, especially in reservoir engineering, exploitation, and production. Forecasting this …

A new development algorithm for permeability prediction: A new milestone

K Sun, L Dong - Frontiers in Ecology and Evolution, 2022 - frontiersin.org
Permeability is one of the most important reservoir rock parameters in petroleum
engineering, reservoir, and exploitation. This parameter causes the movement of …

Effectiveness of the method for selecting rotary-steerable systems based on the machine learning algorithm Random Forest Classifier

ВВ Никишин, ПА Блинов… - Bulletin of the Tomsk …, 2024 - izvestiya.tpu.ru
Актуальность исследования заключается в острой необходимости рассмотрения и
определения возможных путей использования методов машинного обучения в буровой …

Эффективность методики подбора роторно-управляемых систем на основе алгоритма машинного обучения Random Forest Classifier

ВВ Никишин, ПА Блинов… - … георесурсов. 2024. Т. 335 …, 2024 - earchive.tpu.ru
Актуальность исследования заключается в острой необходимости рассмотрения и
определения возможных путей использования методов машинного обучения в буровой …