Artificial Intelligence Techniques in Oil Industry
Publication details: Ghaziabad HBRP Publication 2021Edition: Vol. 3 (2), May-AugDescription: 7-13pSubject(s): Online resources: In: Recent innovations in wireless network securitySummary: documentary provides an overview of artificial intelligence advances such as artificial neural networks and support vector machines, as well as the primary areas in which they are used in the oil and gas industry. Three major applications of such systems are studied inthis paper: geological data interpretation, price forecasting, and flow regime forecasting. The application of artificial intelligence-based advances improves the efficiency of work in both exploration and production, allowing for better results at a lesser cost. At any activity of the oil production process, data mining technologies are extremely useful. Artificial intelligence technologies provide several benefits over traditional approaches, and they might be a useful gadgets for mining businesses to uplift productivity during an interval of less commodity prices.| Item type | Current library | Status | Barcode | |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2021-2022473 |
documentary provides an overview of artificial intelligence advances such as artificial neural networks and support vector machines, as well as the primary areas in which they are used in the oil and gas industry. Three major applications of such systems are studied inthis paper: geological data interpretation, price forecasting, and flow regime forecasting. The application of artificial intelligence-based advances improves the efficiency of work in both exploration and production, allowing for better results at a lesser cost. At any activity of the oil production process, data mining technologies are extremely useful. Artificial intelligence technologies provide several benefits over traditional approaches, and they might be a useful gadgets for mining businesses to uplift productivity during an interval of less commodity prices.
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