Mohammad Sabah

Application of hybrid artificial neural networks for predicting rate of penetration (ROP): A case study from Marun oil field

Seyed Babak Ashrafi, Mohammad Anemangely, Mohammad Sabah et al. · Journal of Petroleum Science and Engineering · 2018 · 152 citations

Marun Oil Field, Engineering, Machine Learning +4

A machine learning approach to predict drilling rate using petrophysical and mud logging data

Mohammad Sabah, Mohsen Talebkeikhah, David A. Wood et al. · Earth Science Informatics · 2019 · 130 citations

Geotechnical Engineering, Drilling Rate, Petroleum Engineering +13

Application of decision tree, artificial neural networks, and adaptive neuro-fuzzy inference system on predicting lost circulation: A case study from Marun oil field

Mohammad Sabah, Mohsen Talebkeikhah, Farough Agin et al. · Journal of Petroleum Science and Engineering · 2019 · 104 citations

Artificial Intelligence, Marun Oil Field, Fuzzy Logic +13

Hybrid machine learning algorithms to enhance lost-circulation prediction and management in the Marun oil field

Mohammad Sabah, Mohammad Mehrad, Seyed Babak Ashrafi et al. · Journal of Petroleum Science and Engineering · 2020 · 84 citations

Hybrid Machine, Marun Oil Field, Engineering +12

Weight on drill bit prediction models: Sugeno-type and Mamdani-type fuzzy inference systems compared

Mohammad Sabah, David A. Wood, Ahmad Shahryari · Journal of Natural Gas Science and Engineering · 2016 · 49 citations

Fuzzy Logic, Fuzzy Systems, Machine Learning +12