Applications of Artificial Intelligence in Oil and Gas Development

Article Properties
Journal Categories
Science
Mathematics
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Engineering (General)
Civil engineering (General)
Refrences
Title Journal Journal Categories Citations Publication Date
10.2118/0818-0050-JPT Scientia Paedagogica Experimentalis 2018
Predicting oil price movements: A dynamic Artificial Neural Network approach Energy Policy
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Geography. Anthropology. Recreation: Environmental sciences
  • Social Sciences: Economic theory. Demography: Economics as a science
  • Geography. Anthropology. Recreation: Environmental sciences
  • Social Sciences: Industries. Land use. Labor
  • Technology: Environmental technology. Sanitary engineering
  • Social Sciences
51 2014
Artificial intelligence techniques and their applications in drilling fluid engineering: A review Journal of Petroleum Science and Engineering
  • Science: Geology: Petrology
  • Science: Geology: Mineralogy
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Chemical technology: Oils, fats, and waxes: Petroleum refining. Petroleum products
  • Science: Geology
81 2018
Formation mechanisms and morphological effects on multi-properties of carbon nanotube fibers and their polyimide aerogel-coated composites Composites Science and Technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Science: Chemistry
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
36 2015
10.4028/www.scientific.net/AMR.616-618.1008 Advances in materials Research
  • Science: Chemistry
2012
Citations
Title Journal Journal Categories Citations Publication Date
Estimating hydrocarbon recovery factor at reservoir scale via machine learning: Database-dependent accuracy and reliability Engineering Applications of Artificial Intelligence
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2024
An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network Heliyon 2024
A Target-Aware Well Path Control Method Based on Transfer Reinforcement Learning

SPE Journal
  • Science: Geology: Petrology
  • Science: Geology: Mineralogy
  • Technology: Chemical technology: Oils, fats, and waxes: Petroleum refining. Petroleum products
2024
Application of Machine Learning and Optimization of Oil Recovery and CO2 Sequestration in the Tight Oil Reservoir

SPE Journal
  • Science: Geology: Petrology
  • Science: Geology: Mineralogy
  • Technology: Chemical technology: Oils, fats, and waxes: Petroleum refining. Petroleum products
2024
Prediction of Total Petroleum Hydrocarbons and Heavy Metals in Acid Tars Using Machine Learning

Applied Sciences
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Biology (General)
  • Science: Physics
  • Science: Chemistry
  • Science: Chemistry: General. Including alchemy
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Chemistry
  • Science: Physics
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Engineering (General). Civil engineering (General)
2024
Citations Analysis
Category Category Repetition
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade13
Technology: Engineering (General). Civil engineering (General)12
Science: Chemistry10
Technology: Chemical technology: Chemical engineering8
Technology: Environmental technology. Sanitary engineering8
Technology: Chemical technology: Oils, fats, and waxes: Petroleum refining. Petroleum products7
Science: Geology: Petrology7
Science: Geology: Mineralogy7
Geography. Anthropology. Recreation: Environmental sciences6
Science: Geology5
Science: Biology (General): Ecology4
Science: Mathematics4
Technology: Chemical technology4
Science: Biology (General)3
Science: Physics3
Science: Chemistry: General. Including alchemy3
Technology: Technology (General): Industrial engineering. Management engineering3
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials3
Science: Mathematics: Instruments and machines: Electronic computers. Computer science3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks3
Technology3
Social Sciences3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Technology: Mechanical engineering and machinery2
Technology: Engineering (General). Civil engineering (General): Environmental engineering1
Technology: Electrical engineering. Electronics. Nuclear engineering1
Science: Science (General): Cybernetics: Information theory1
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication1
Science: Chemistry: Analytical chemistry1
Science: Mathematics: Instruments and machines1
Science: Science (General)1
Social Sciences: Commerce: Business1
Geography. Anthropology. Recreation: Human ecology. Anthropogeography: Settlements: Cities. Urban geography1
Social Sciences: Communities. Classes. Races: Urban groups. The city. Urban sociology1
Political science: Political institutions and public administration (General)1
Social Sciences: Social history and conditions. Social problems. Social reform1
Social Sciences: Sociology (General)1
Bibliography. Library science. Information resources1
The category Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade 13 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Artificial intelligence and decision-making in situations of uncertainty and was published in 2020. The most recent citation comes from a 2024 study titled Prediction of Total Petroleum Hydrocarbons and Heavy Metals in Acid Tars Using Machine Learning. This article reached its peak citation in 2023, with 17 citations. It has been cited in 36 different journals, 25% of which are open access. Among related journals, the Fuel cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year