Intelligent Well Systems
Abstract ?In this paper is presented an Intelligent WellSystems for the Industrial Production of Oil. Such scheme istested for gas lift (GL) oil wells. The proposal is based on theproduction assessment, in the utilization of the process variables(specifically, the bottom-well and surfaces pressures...
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oai:localhost:28000-29642017-04-10T15:08:10Z Intelligent Well Systems Aguilar Castro, Jos? Lisandro INTELLIGENTE WELL SYSTEMS GAS LIFT ARTIFICIAL INTELLIGENCE Abstract ?In this paper is presented an Intelligent WellSystems for the Industrial Production of Oil. Such scheme istested for gas lift (GL) oil wells. The proposal is based on theproduction assessment, in the utilization of the process variables(specifically, the bottom-well and surfaces pressures), and theoperational scenarios detection (in the case study, the productionof the oil well), with the objective of optimizing the producingperformance of the well. The proposal combines intelligenttechniques (Fuzzy Classification Systems) and Mass EnergyBalance. Our approach allows determining and controlling theoil or gas flow that a well can produce, taking into account thecompletion geometry and the reservoir potential, as well as thecriteria related to the well?s performance curves of oil and gas Universidad T?cnica Particular de Loja https://www.scopus.com/record/display.uri?eid=2-s2.0-84959374261&origin=inward&txGid=0 2016-11-09T15:46:42Z 2016-11-09T15:46:42Z 2015 article Camargo, Edgar G; Aceros, Egner; Aguilar Castro, Jos? Lisandro. (2015). Intelligent Well Systems. Computer Aided System Engineering (APCASE). 978-1-4799-7588-4 http://repositorio.educacionsuperior.gob.ec/handle/28000/2964 eng restrictedAccess |
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INTELLIGENTE WELL SYSTEMS GAS LIFT ARTIFICIAL INTELLIGENCE |
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INTELLIGENTE WELL SYSTEMS GAS LIFT ARTIFICIAL INTELLIGENCE Aguilar Castro, Jos? Lisandro Intelligent Well Systems |
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Abstract
?In this paper is presented an Intelligent WellSystems for the Industrial Production of Oil. Such scheme istested for gas lift (GL) oil wells. The proposal is based on theproduction assessment, in the utilization of the process variables(specifically, the bottom-well and surfaces pressures), and theoperational scenarios detection (in the case study, the productionof the oil well), with the objective of optimizing the producingperformance of the well. The proposal combines intelligenttechniques (Fuzzy Classification Systems) and Mass EnergyBalance. Our approach allows determining and controlling theoil or gas flow that a well can produce, taking into account thecompletion geometry and the reservoir potential, as well as thecriteria related to the well?s performance curves of oil and gas |
author |
Aguilar Castro, Jos? Lisandro |
author_facet |
Aguilar Castro, Jos? Lisandro |
author_sort |
Aguilar Castro, Jos? Lisandro |
title |
Intelligent Well Systems |
title_short |
Intelligent Well Systems |
title_full |
Intelligent Well Systems |
title_fullStr |
Intelligent Well Systems |
title_full_unstemmed |
Intelligent Well Systems |
title_sort |
intelligent well systems |
publishDate |
2016 |
url |
http://repositorio.educacionsuperior.gob.ec/handle/28000/2964 |
_version_ |
1634995096723128320 |
score |
11,871979 |