siddhant garje | Mumbai University (original) (raw)
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Papers by siddhant garje
Zenodo (CERN European Organization for Nuclear Research), Feb 22, 2023
Artificial intelligence (AI) has been widely applied to optimization challenges in the petroleum ... more Artificial intelligence (AI) has been widely applied to optimization challenges in the petroleum exploration and production industry in recent years. With the new industry interest and enthusiasm for smart wells, intelligent fields, and real-time analysis and interpretation of enormous amounts of data for process optimization, our industry's need for powerful, resilient, and intelligent technologies has expanded dramatically. This survey provides a thorough literature analysis based on various types of AI algorithms, their application areas in the petroleum sector, and the geographical regions where they are being developed. To that end, AI methods are divided into four categories: evolutionary algorithms, swarm intelligence, fuzzy logic, and artificial neural networks. Furthermore, these types of algorithms in terms of their applications in petroleum engineering are investigated. Furthermore, the hybridization and/or combination of multiple AI techniques can be successfully used to address critical optimization problems and achieve superior results.
Zenodo (CERN European Organization for Nuclear Research), Feb 22, 2023
Artificial intelligence (AI) has been widely applied to optimization challenges in the petroleum ... more Artificial intelligence (AI) has been widely applied to optimization challenges in the petroleum exploration and production industry in recent years. With the new industry interest and enthusiasm for smart wells, intelligent fields, and real-time analysis and interpretation of enormous amounts of data for process optimization, our industry's need for powerful, resilient, and intelligent technologies has expanded dramatically. This survey provides a thorough literature analysis based on various types of AI algorithms, their application areas in the petroleum sector, and the geographical regions where they are being developed. To that end, AI methods are divided into four categories: evolutionary algorithms, swarm intelligence, fuzzy logic, and artificial neural networks. Furthermore, these types of algorithms in terms of their applications in petroleum engineering are investigated. Furthermore, the hybridization and/or combination of multiple AI techniques can be successfully used to address critical optimization problems and achieve superior results.