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A systematic review of data science and machine learning applications to the oil and gas industry
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 …
different petroleum engineering and geosciences segments such as petroleum exploration …
Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
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 …
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
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 …
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
Effectively storing carbon dioxide (CO 2) in geological formations synergizes with algal-
based removal technology, enhancing carbon capture efficiency, leveraging biological …
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 …
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
The applications of numerical simulation modeling such as assisted history matching,
production optimization, and reservoir performance forecasting usually lead to significant …
production optimization, and reservoir performance forecasting usually lead to significant …
Full field reservoir modeling of shale assets using advanced data-driven analytics
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 …
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
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 …
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 …
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
Managers, geologists, reservoir and completion engineers are faced with important
challenges and questions when it comes to producing from and operating shale assets …
challenges and questions when it comes to producing from and operating shale assets …