Predictive reengineering in action: three directions for realizing the potential of mature fields

UDK: 622.276.012

DOI: 10.24887/0028-2448-2026-6-76-81

Key words: reengineering, performance management from potential, operating facilities, predictive analytics, integrated modeling

Authors: A.F. Mozhchil (Gazprom Neft Companу Group, RF, Saint Petersburg); M.N. Pislegin (Gazprom Neft Companу Group, RF, Saint Petersburg); E.V. Doronin (Gazprom Neft Companу Group, RF, Saint Petersburg); A.M. Matveev (Gazprom Neft Companу Group, RF, Saint Petersburg); M.R. Salyakhov (Gazprom Neft Companу Group, RF, Saint Petersburg); A.A. Borisenko (Gazprom Neft Companу Group, RF, Saint Petersburg); V.S. Zelentsov (Gazprom Neft Companу Group, RF, Saint Petersburg); A.N. Kurteev (Gazprom Neft Companу Group, RF, Saint Petersburg); N.Z. Bazyleva(Gazprom Neft Companу Group, RF, Saint Petersburg)

This article examines the Gazprom Neft Companу approach to predictive reengineering of surface infrastructure, which aims at shifting from point optimization solutions to systematic efficiency management. The article presents practical cases demonstrating three key directions for realizing the potential of reengineering. The first case demonstrates a methodology for cluster reengineering aimed at reducing operating costs by preservation of the excess equipment. By modeling the surface infrastructure, the authors identified a scenario for changing the configuration and composition of equipment that ensures optimal load of facilities and eliminates technical limitations of well operation. The second case focuses on optimizing of capital costs by implementing a detailed analysis of the existing infrastructure with decomposition down to individual equipment units. A systematic approach to analyzing a significant number of facilities is enabled by a specialized analytical tool and makes it possible to avoid purchasing new equipment over a three-year period. The third case addresses the lifting of infrastructure restrictions that are limiting liquid hydrocarbon production. Process modeling ensures the necessary throughput capacity of the surface infrastructure for the collection and preparation of associated petroleum gas under growing gas-oil ratio conditions, without loss of product quality and at an optimal investment level. The conclusion notes the effects of the implementation of predictive reengineering, and emphasizes the versatility of the presented solutions and their potential for replication.

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