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An innovative approach for oil well bottomhole pressure forecasting using Kolmogorov-Arnold Neural Networks(KANs):A case study in an offshore oilfield

Adeboye Adeyinka Opedamola Oriola Olusegun Stanley Tomomewo

Deep Resources Engineering2026，Vol.3Issue(1)：P.27-43,17.

Deep Resources Engineering2026，Vol.3Issue(1)：P.27-43,17.DOI:10.1016/j.deepre.2025.100233

An innovative approach for oil well bottomhole pressure forecasting using Kolmogorov-Arnold Neural Networks(KANs):A case study in an offshore oilfield

Adeboye Adeyinka ¹Opedamola Oriola ²Olusegun Stanley Tomomewo¹

作者信息

1. Energy and Petroleum Engineering Department,College of Engineering and Mines,University of North Dakota,ND 58202,USA
2. Computer Vision Department,Inveniam,France
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摘要

关键词

Time-series forecasting/Kolmogorov-Arnold networks/Interpretable machine learning/Bottomhole pressure prediction/Reservoir engineering/Numerical reservoir simulation

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能源科技

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Adeboye Adeyinka,Opedamola Oriola,Olusegun Stanley Tomomewo..An innovative approach for oil well bottomhole pressure forecasting using Kolmogorov-Arnold Neural Networks(KANs):A case study in an offshore oilfield[J].Deep Resources Engineering,2026,3(1):P.27-43,17.

Deep Resources Engineering

ISSN：2949-9305

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