A.A. Gaysin, R.Kh. Nizaev
EVOLUTION OF METHODS FOR CALCULATING THE INFLUENCE COEFFICIENT IN ASSESSING INTERWELL CONNECTIVITY
Annotation. This paper presents a chronological analysis of the evolution of methods for quantitatively estimating the influence coefficient between injection and production wells based on a review of the scientific literature. Seven key approaches are identified: correlation methods, Kalman filter, wavelet transform, frequency analysis, streamlines, capacitance-resistive models (CRM), and neural networks. A paradigm shift is demonstrated – from simple statistical dependencies to physically grounded CRM models and further to hybrid data-driven systems. For each stage, the dominant approaches, driving factors, and areas of practical application are determined. Particular attention is paid to differences in the interpretation of the influence coefficient, ranging from a statistical measure to a physical parameter and a learnable model weight. The article serves as a foundation for predicting future trends and for making informed choices of methods based on the research objective, available data, and the required level of result interpretability.
Keywords: interference coefficient, interwell connectivity, evolution of methods, timelines, CRM models, neural networks, data-driven approaches.
For citation: Gaysin A.A., Nizaev R.Kh. [Еvolution of methods for calculating the influence coefficient in assessing interwell connectivity] Upravlenie tekhnosferoi, 2026, vol. 9, issue 2, рр. 473–499. DOI: 10.35634/UdSU.2026.78.97.013. (In Russ.).
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About the Authors
Nizaev Ramil' Khabutdinovich
Doctor of Technical Sciences, Professor, Chair of Oil and Gas Fields Development and Operation, Higher School of Petroleum, TatNIPIneft Institute – PJSC Tatneft, 2 Lenin Str., Almetyevsk, 423462, Russia.
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Gaisin Almir Aivazovich
Postgraduate student, Chair of Oil and Gas Fields Development and Operation, Higher School of Petroleum, TatNIPIneft Institute – PJSC Tatneft, 2 Lenin Str., Almetyevsk, 423462, Russia.
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