Advanced Control Algorithms for a Horizontal Three-Phase Separator in a Hardware in the Loop Simulation Environment

Aimacaña-Cueva, L.; Gahui-Auqui, O.; Llanos, Jacqueline; Ortiz-Villalba, D.

doi:10.1007/978-3-031-24971-6_29

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…In a study conducted by Aimacaña-Cueva et al [5], two control strategies were tested for a three-phase horizontal separator with a physical control device. However, the study did not consider the impact of flow regime and separator pressure on the desired liquid level during the separation process.…”

Section: Introductionmentioning

confidence: 99%

“…It is important to note that Aimacaña-Cueva et al [5] did not investigate the separation efficiency of the separator in a laboratory setting, nor did they develop a smart control system under such conditions. Furthermore, their model focused solely on the separator and neglected crucial factors such as the oil reservoir, vertical wells, and surface chokes and manifolds.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the authors did not account for variations in separator pressure and temperature, as well as flow regimes upstream of the separator. Our paper aims to address the deficiencies highlighted in Aimacaña-Cueva et al [5]'s analysis while incorporating the utilization of model predictive control.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Method for Constraint Optimization to Enhance Oil Production in a Production System with a Real Fractured Oil Reservoir

Fadaei,

Ameri,

Rafiei

2024

Preprint

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In the oil industry, multiphase separators are of paramount importance in oil production, as they have a significant impact on overall oil production capacity. However, the occurrence of slug flow, which is characterized by undesirable behavior, can cause extensive damage to the surface separator and pipelines. Consequently, the development of intelligent separators and the implementation of effective flow regime control mechanisms are crucial. To address this issue, our research aimed to investigate the behavior of different flow regimes entering the separator and evaluate the intelligence system of the separator. Initially, we constructed a laboratory-scale multiphase flow loop as a platform to examine various flow regimes entering the separator. Through laboratory tests employing a PID controller, we collected data concerning the liquid level, gas pressure, input flow rate, and control signals of the separator. Subsequently, we accurately modeled the laboratory system and conducted simulations in a multiple-input-multiple-output mode with model predictive control. After ensuring the effective operation of the laboratory smart control system, we integrated its control model with a production system containing a real fractured reservoir. The results demonstrated that the implementation of the smart integrated production system could enhance oil production by approximately 53% over a 20-year simulation period.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Method for Constraint Optimization to Enhance Oil Production in a Production System with a Real Fractured Oil Reservoir

Fadaei,

Ameri,

Rafiei

2024

Preprint

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Design of a Model Based Predictive Control (MPC) Strategy for a Desalination Plant in a Hardware in the Loop (HIL) Environment

Panchi-Chanatasig

Tumbaco-Quinatoa

Llanos

et al. 2023

Communications in Computer and Information Science

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Experimental design and manufacturing of a smart control system for horizontal separator based on PID controller and integrated production model

Fadaei,

Ameri,

Rafiei

et al. 2024

J Petrol Explor Prod Technol

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During oil production, the reservoir pressure declines, causing changes in the hydrocarbon components. To ensure better separation of produced phases, separator dimensions should also be adjusted. It is not possible to change the dimensions of the separator during production. Therefore, to improve the separation of the phases, the level of the separator needs to be adjusted. An intelligent system is required to ensure that the liquid level is maintained at the desired level for optimal phase separation during changes in reservoir pressure. In this study, a novel correlation is presented to measure the desired liquid level using new separator pressures. For this purpose, an intelligent system was built in the laboratory and tested in different operational conditions. The intelligent system effectively maintained the desired liquid level of the separator through a new correlation technique. The system accomplished this by acquiring new separator pressure readings collected by installed sensors. This approach helped mitigate the negative effects of the slug flow regime and minimized issues such as foam formation and over-flushing of the separator. It could achieve a 99.1% separation efficiency between gas and liquid phases. This was possible during liquid and gas flow rates ranging from 0 to 2.35 and 8–17 m3/h, respectively. The system could operate under bubble, stratified, plug, and slug flow regimes. Then the intelligent model obtained from lab experiments was integrated into the production model for the southern Iranian oil field. The smart model increased oil production by 13% and prevented the separator from over-flushing in 840 days.

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Advanced Control Algorithms for a Horizontal Three-Phase Separator in a Hardware in the Loop Simulation Environment

Cited by 3 publications

References 11 publications

A Novel Method for Constraint Optimization to Enhance Oil Production in a Production System with a Real Fractured Oil Reservoir

A Novel Method for Constraint Optimization to Enhance Oil Production in a Production System with a Real Fractured Oil Reservoir

Design of a Model Based Predictive Control (MPC) Strategy for a Desalination Plant in a Hardware in the Loop (HIL) Environment

Experimental design and manufacturing of a smart control system for horizontal separator based on PID controller and integrated production model

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