Open AccessAlgorithmic support of automatic yield control system of a gas well cluster
Author(s) -
M. U. Prakhova,
А. Н. Краснов,
Е. А. Хорошавина
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1353/1/012053
Subject(s) - yield (engineering) , pipeline (software) , cluster (spacecraft) , control (management) , gas consumption , set (abstract data type) , computer science , value (mathematics) , pipeline transport , operations research , mathematical optimization , environmental science , petroleum engineering , engineering , mathematics , environmental engineering , physics , operating system , artificial intelligence , machine learning , thermodynamics , programming language
Gas wells operation is associated with the problem of regulating their yield. Debit value must provide for meeting various criteria with some of them being mutually exclusive. Initial debit value is set under a deposit development project and then is adjusted periodically at best based on the results of quarterly hydrodynamic well exploration. However, in order to enhance operation yield of a gas well cluster debit regulation must be carried out in real time. This problem hasn’t been solved yet. The article offers a yield control algorithm for a gas well cluster consisting of three separate units: yield enhancement, yield decreasing and yield distribution among wells. Transfer from one unit to another is carried out based on the results of measuring current gas consumption rate in wells and the pressure on isolation valve building’s plumes. The gap between the allowed values of well consumption (maximum and minimum) is identified on the basis of the research of a well’s operation. Algorithm approbation was carried out in a program package for simulation, design and analysis of the operation of above-ground infrastructure and PipeSim pipeline system. The results confirmed the feasibility of the proposed algorithm and the possibility of managing operation regime of every well independently.