Technologies applicability matrix for protecting production wells from the complicating factors negative impact

UDK: 681.518:622.276.5.05
DOI: 10.24887/0028-2448-2023-6-74-77
Authors: D.A. Lunin (Rosneft Oil Company, RF, Moscow), D.A. Minchenko (Rosneft Oil Company, RF, Moscow), A.B. Noskov (Rosneft Oil Company, RF, Moscow), I.G. Klyushin (Rosneft Oil Company, RF, Moscow), I.V. Naumov (RN-Centre for Peer Review and Technical Development LLC, RF, Tyumen), D.V. Novokreschennykh (RN-Centre for Peer Review and Technical Development LLC, RF, Tyumen)

The factors complicating oil well operation negatively affect oil production and have always forced oil engineers to analyze, search and foresee measures for their elimination, keeping in mind the maximum technical and economic efficiency. The study dwells upon the creation of technologies applicability matrix for the protection of deep-well pumping equipment from complicating factors in Rosneft Oil Company based on Mechfond information system (IS). Matrix of well stock protection technologies contain a database (or ‘knowledge base’) of technological solutions aimed at maximizing the guaranteed and effective protection of the producing well stock from the negative impact of various complicating factors. As a result the model allows to quickly analyze and select among all known deep-well pumping equipment technical solutions (protection technologies) based on formed criteria, using the accumulated experience (geological and technical conditions for certain protection technology). The uniqueness of the matrix knowledge base lies in systematization of Rosneft long-term technological and scientific experience (including Subs, R&D and expert centers of the Company) obtained during the pilot testing and scaling on the industrial level of technological solutions, aimed at protecting the producing well stock from the negative impact of complicating factors. The article describes matrix composition and structure, stages of creation and usage examples with the application of Mechfond IS.

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