New Approaches to gaslift and ESP well stock production management

UDK: 622.276.53
DOI: 10.24887/0028-2448-2021-6-67-73
Key words: production management, optimization of technological modes, integrated modeling
Authors: E.V. Yudin (Gazpromneft NTC LLC, RF, Saint-Petersburg), R.A. Habibullin (Gazpromneft NTC LLC, RF, Saint-Petersburg), N.A. Smirnov (Gazpromneft NTC LLC, RF, Saint-Petersburg), G.A. Piotrovsky (Gazpromneft-Digital Solutions, RF, Saint-Petersburg; Research and Educational Centre Gazpromneft-Polytech, RF, Saint-Petersburg), A.O. Vodopyan (Gazpromneft-Digital Solutions, RF, Saint-Petersburg; Research and Educational Centre Gazpromneft-Polytech, RF, Saint-Petersburg), M.V. Petrova (Gazpromneft-Digital Solutions, RF, Saint-Petersburg; Research and Educational Centre Gazpromneft-Polytech, RF, Saint-Petersburg), S.V. Zamakhov (Gazpromneft-Digital Solutions, RF, Saint-Petersburg; Research and Educational Centre Gazpromneft-Polytech, RF, Saint-Petersburg), G.A. Chigarev (Gazpromneft NTC LLC, RF, Saint-Petersburg), M.A. Novikov (Gazpromneft-Noyabrskneftegas JSC, RF, Noyabrsk), V.O. Derevyanko (Gazpromneft-Noyabrskneftegas JSC, RF, Noyabrsk), A.I. Kiyan (Gazpromneft-Orenburg LLC, Orenburg)

Methodical and algorithmic description of tool for complex gaslift and ESP well stock production management is presented in the paper. The presented solutions fully cover the processes of automated creation and adaptation to actual data of physical models of well drainage area, gas-liquid elevator with submersible and surface equipment and oil gathering network, as well as algorithms of integration and management of these models to solve the problems of operational targeted lifting costs optimization taking into account physical processes occurring in each element of the system. The used models cover the whole range of physical phenomena necessary for accounting within the framework of the tasks being solved, being at the same time computationally non labor-intensive and not requiring manual adaptation to actual values, as well as additional initial data for creation, except for those contained in the well and its equipment datasheets. The algorithms described in the article allow solving problems of group optimization of operating modes of production wells on the basis of physical models in order to minimize lifting costs. Thus, the tool presented in the article allows, on the basis of a standard set of initial data, to perform group optimization of operating modes of production wells without changing equipment in order to maximize production without increasing technological costs, or to minimize technological costs without decreasing production. Besides, it is possible to integrate the presented tool with algorithms of calculation of effect from equipment change.

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