A systematic review of data science and machine learning applications to the oil and gas industry

Z Tariq, MS Aljawad, A Hasan, M Murtaza… - Journal of Petroleum …, 2021 - Springer
This study offered a detailed review of data sciences and machine learning (ML) roles in
different petroleum engineering and geosciences segments such as petroleum exploration …

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 …

Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir

MA Ahmadi, M Ebadi, A Shokrollahi, SMJ Majidi - Applied Soft Computing, 2013 - Elsevier
Multiphase flow meters (MPFMs) are utilized to provide quick and accurate well test data in
numerous numbers of oil production applications like those in remote or unmanned …

Predicting wettability of mineral/CO2/brine systems via data-driven machine learning modeling: Implications for carbon geo-sequestration

Z Tariq, M Ali, A Hassanpouryouzband, B Yan, S Sun… - Chemosphere, 2023 - Elsevier
Effectively storing carbon dioxide (CO 2) in geological formations synergizes with algal-
based removal technology, enhancing carbon capture efficiency, leveraging biological …

Recent developments in application of artificial intelligence in petroleum engineering

SD Mohaghegh - Journal of Petroleum Technology, 2005 - onepetro.org
Distinguished Author Series articles are general, descriptive representations that summarize
the state of the art in an area of technology by describing recent developments for readers …

A review of proxy modeling applications in numerical reservoir simulation

AK Jaber, SN Al-Jawad, AK Alhuraishawy - Arabian Journal of …, 2019 - Springer
The applications of numerical simulation modeling such as assisted history matching,
production optimization, and reservoir performance forecasting usually lead to significant …

Full field reservoir modeling of shale assets using advanced data-driven analytics

S Esmaili, SD Mohaghegh - Geoscience Frontiers, 2016 - Elsevier
Hydrocarbon production from shale has attracted much attention in the recent years. When
applied to this prolific and hydrocarbon rich resource plays, our understanding of the …

Smart proxy modeling of a fractured reservoir model for production optimization: implementation of metaheuristic algorithm and probabilistic application

CSW Ng, A Jahanbani Ghahfarokhi… - Natural Resources …, 2021 - Springer
Numerical reservoir simulation has been recognized as one of the most frequently used aids
in reservoir management. Despite having high calculability performance, it presents an …

Prediction of compressional, shear, and stoneley wave velocities from conventional well log data using a committee machine with intelligent systems

M Asoodeh, P Bagheripour - Rock mechanics and rock engineering, 2012 - Springer
Measurement of compressional, shear, and Stoneley wave velocities, carried out by dipole
sonic imager (DSI) logs, provides invaluable data in geophysical interpretation …

Shale analytics: Making production and operational decisions based on facts: A case study in marcellus shale

SD Mohaghegh, R Gaskari, M Maysami - SPE hydraulic fracturing …, 2017 - onepetro.org
Managers, geologists, reservoir and completion engineers are faced with important
challenges and questions when it comes to producing from and operating shale assets …