ARTIFICIAL INTELLIGENCE SIMULATION OF MULTIPHASE FLUID FLOW THROUGH EXTRACTION PIPES

The flow of petroleum fluids through extraction pipes is a phenomenon difficult to describe in mathematical terms. Complex numerical relationships are usually used, most of which are derived from observation of wells in operation and analysis of collected production data, and others are determined f...

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Bibliographic Details
Published in:Romanian Journal of Petroleum & Gas Technology. (Online) 2023-12, Vol.4 (75) (2), p.201-210
Main Authors: Damascan, Alexandra, Albulescu, Mihai, Stoianovici, Doru, Bârsan, Doru
Format: Article
Language:English
Subjects:
artificial intelligence
fluid modelling
oil and gas
well production
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Summary:The flow of petroleum fluids through extraction pipes is a phenomenon difficult to describe in mathematical terms. Complex numerical relationships are usually used, most of which are derived from observation of wells in operation and analysis of collected production data, and others are determined from laboratory experiments. But a model that uses artificial intelligence in this field has not been created to date, even if this concept is widely used in the oil industry. This is precisely why this article proposes a numerical model based on artificial intelligence that determines the flow equations and their limits according to the type of flow, determines the relative velocities of gas and oil liquids during the ascent through the extraction pipes and also statistically analyzes the data obtained as a result of applying the described model with real data collected from a group of wells in production.
ISSN:2734-5319
2972-0370
DOI:10.51865/JPGT.2023.02.20