Optimizing Operations Sequencing and Demulsifier Injection in Offshore Oil Production Platforms
Short-term production optimization of oil assets concerns routing decisions and equipment control settings that induce optimal steady-state operations. Typically, the decisions are made on the scale of hours to days with the aim of maximizing short-term economic and oil gains. Still an evolving fiel...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10090932/ |
| _version_ | 1797849299348881408 |
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| author | Eduardo Rauh Muller Eduardo Camponogara Laio Oriel Seman Bruno Ferreira Vieira Luis Kin Miyatake |
| author_facet | Eduardo Rauh Muller Eduardo Camponogara Laio Oriel Seman Bruno Ferreira Vieira Luis Kin Miyatake |
| author_sort | Eduardo Rauh Muller |
| collection | DOAJ |
| description | Short-term production optimization of oil assets concerns routing decisions and equipment control settings that induce optimal steady-state operations. Typically, the decisions are made on the scale of hours to days with the aim of maximizing short-term economic and oil gains. Still an evolving field, this paper contributes by presenting a model and solution strategy for sequencing operations over time to drive the system towards an optimal state, while accounting for constraints that ensure smooth transitions until settling at the terminal steady-state. The constraints include the maximum number of wells that undergo a change in the control settings, maximum number and variation on the input signals for each well, and maximum number of changes in each time period, among others. Additionally, the proposed strategy can optimize the rate of injection of demulsifiers into wells considering the limits and impacts on fluid processing capacity. The paper reports simulated results for a real-world offshore production platform, demonstrating the effectiveness of the optimization strategy to cope with the failure and recovery of compression capacity, and to manage the injection of demulsifiers. The experiments show a gain of 11.5% in total oil production resulting from an optimal management of demulsifiers. |
| first_indexed | 2024-04-09T18:41:36Z |
| format | Article |
| id | doaj.art-4b0feb1bac5f4a5993e98397a4a8cbc0 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-09T18:41:36Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-4b0feb1bac5f4a5993e98397a4a8cbc02023-04-10T23:01:13ZengIEEEIEEE Access2169-35362023-01-0111334143342710.1109/ACCESS.2023.326382710090932Optimizing Operations Sequencing and Demulsifier Injection in Offshore Oil Production PlatformsEduardo Rauh Muller0https://orcid.org/0000-0002-4886-7290Eduardo Camponogara1https://orcid.org/0000-0002-0236-0689Laio Oriel Seman2https://orcid.org/0000-0002-6806-9122Bruno Ferreira Vieira3Luis Kin Miyatake4Department of Automation and Systems Engineering, Federal University of Santa Catarina, Florianópolis, BrazilDepartment of Automation and Systems Engineering, Federal University of Santa Catarina, Florianópolis, BrazilDepartment of Automation and Systems Engineering, Federal University of Santa Catarina, Florianópolis, BrazilPetrobras Research Center (CENPES), Rio de Janeiro, BrazilPetrobras Research Center (CENPES), Rio de Janeiro, BrazilShort-term production optimization of oil assets concerns routing decisions and equipment control settings that induce optimal steady-state operations. Typically, the decisions are made on the scale of hours to days with the aim of maximizing short-term economic and oil gains. Still an evolving field, this paper contributes by presenting a model and solution strategy for sequencing operations over time to drive the system towards an optimal state, while accounting for constraints that ensure smooth transitions until settling at the terminal steady-state. The constraints include the maximum number of wells that undergo a change in the control settings, maximum number and variation on the input signals for each well, and maximum number of changes in each time period, among others. Additionally, the proposed strategy can optimize the rate of injection of demulsifiers into wells considering the limits and impacts on fluid processing capacity. The paper reports simulated results for a real-world offshore production platform, demonstrating the effectiveness of the optimization strategy to cope with the failure and recovery of compression capacity, and to manage the injection of demulsifiers. The experiments show a gain of 11.5% in total oil production resulting from an optimal management of demulsifiers.https://ieeexplore.ieee.org/document/10090932/Production optimizationoperations sequencingdemulsifier injectionnonlinear optimizationpiecewise-linear approximation |
| spellingShingle | Eduardo Rauh Muller Eduardo Camponogara Laio Oriel Seman Bruno Ferreira Vieira Luis Kin Miyatake Optimizing Operations Sequencing and Demulsifier Injection in Offshore Oil Production Platforms IEEE Access Production optimization operations sequencing demulsifier injection nonlinear optimization piecewise-linear approximation |
| title | Optimizing Operations Sequencing and Demulsifier Injection in Offshore Oil Production Platforms |
| title_full | Optimizing Operations Sequencing and Demulsifier Injection in Offshore Oil Production Platforms |
| title_fullStr | Optimizing Operations Sequencing and Demulsifier Injection in Offshore Oil Production Platforms |
| title_full_unstemmed | Optimizing Operations Sequencing and Demulsifier Injection in Offshore Oil Production Platforms |
| title_short | Optimizing Operations Sequencing and Demulsifier Injection in Offshore Oil Production Platforms |
| title_sort | optimizing operations sequencing and demulsifier injection in offshore oil production platforms |
| topic | Production optimization operations sequencing demulsifier injection nonlinear optimization piecewise-linear approximation |
| url | https://ieeexplore.ieee.org/document/10090932/ |
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