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Title: Adaptive control system for gas producing wells

Abstract

Optimal adaptive automatic control system for gas producing wells cluster is proposed intended for solving the problem of stabilization of the output gas pressure in the cluster at conditions of changing gas flow rate and changing parameters of the wells themselves, providing the maximum high resource of hardware elements of automation.

Authors:
; ;  [1]
  1. Institute of Control Sciences RAS. 117997, Moscow, Profsoyuznaya st., 65 (Russian Federation)
Publication Date:
OSTI Identifier:
22391159
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 1648; Journal Issue: 1; Conference: ICNAAM-2014: International Conference on Numerical Analysis and Applied Mathematics 2014, Rhodes (Greece), 22-28 Sep 2014; Other Information: (c) 2015 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
03 NATURAL GAS; CONTROL SYSTEMS; GAS FLOW; NATURAL GAS; NATURAL GAS FIELDS; NATURAL GAS WELLS

Citation Formats

Fedor, Pashchenko, Sergey, Gulyaev, and Alexander, Pashchenko, E-mail: paschenko_alex@mail.ru. Adaptive control system for gas producing wells. United States: N. p., 2015. Web. doi:10.1063/1.4913064.
Fedor, Pashchenko, Sergey, Gulyaev, & Alexander, Pashchenko, E-mail: paschenko_alex@mail.ru. Adaptive control system for gas producing wells. United States. doi:10.1063/1.4913064.
Fedor, Pashchenko, Sergey, Gulyaev, and Alexander, Pashchenko, E-mail: paschenko_alex@mail.ru. Tue . "Adaptive control system for gas producing wells". United States. doi:10.1063/1.4913064.
@article{osti_22391159,
title = {Adaptive control system for gas producing wells},
author = {Fedor, Pashchenko and Sergey, Gulyaev and Alexander, Pashchenko, E-mail: paschenko_alex@mail.ru},
abstractNote = {Optimal adaptive automatic control system for gas producing wells cluster is proposed intended for solving the problem of stabilization of the output gas pressure in the cluster at conditions of changing gas flow rate and changing parameters of the wells themselves, providing the maximum high resource of hardware elements of automation.},
doi = {10.1063/1.4913064},
journal = {AIP Conference Proceedings},
number = 1,
volume = 1648,
place = {United States},
year = {Tue Mar 10 00:00:00 EDT 2015},
month = {Tue Mar 10 00:00:00 EDT 2015}
}