Sequential short-term optimization of gas lift using linear programming: A case study of a mature oil field in Russia

Jeong, Daein; Yoshioka, Katsuhei; Jeong, Hoonyoung; Min, Baehyun

doi:10.1016/j.petrol.2021.108767

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…Indeed, mathematical programming methods such as linear programming, non-linear programming, integer programming, and dynamic programming are widely used to assist operations management in making decisions relating to assembly line configuration [24]; to support decision-making in optimizing maintenance [25][26][27][28]; in addition to aiding decision-making in optimizing manufacturing planning or even strategic capacity planning in manufacturing [29][30][31][32], transport, and supply chain problems [33,34], control plans in manufacturing [35], safety in manufacturing [36], and many other activities in the industry. Moreover, the recent mathematical programming literature has long recognized the centric role of mathematical programming methods in maximizing production in diverse areas, notably the petroleum industry (e.g., [18], small mechanical-based industry (e.g., [19], and energy (e.g., [20,21]. However, no work considered the constraints of efficient maintenance (e.g., maintenance department's objectives, maintenance conditions for high-performance, maintenance KPIs, etc.)…”

Section: Methodsmentioning

confidence: 99%

“…In the framework of systems theory and evidence-based decision-making, many research works have recently emphasized the efficiency of mathematical programming methods in enhancing (i.e., maximizing) production in various fields, such as the petroleum industry (e.g., [18], small mechanical-based industry (e.g., [19], and energy (e.g., [20,21]. However, they do not consider the constraints of efficient maintenance (e.g., maintenance department's objectives, maintenance conditions for high-performance, maintenance KPIs, etc.)…”

Section: Introductionmentioning

confidence: 99%

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Systems Theory and Evidence‐Based Decision‐Making as Keys for Arbitrating between Optimal Production and Efficient Maintenance: A Case Study

Hallioui

Herrou

Santos

et al. 2022

Discrete Dynamics in Nature and Society

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Organizations in the 21st century operate in evolving and highly competitive environments—such environments are catalysts for deviation in organization-planned operations, including production and maintenance. The differences between maintenance and production, in general, are well known, given the several studies found in the literature regarding industrial engineering. However, the differences between maintenance and production are becoming less significant as a result of increased understanding of the systemic approach to organizations where the whole matters more than the sum of the parts. The aim of this study was to maximize the productivity of a manufacturing factory by applying mathematical programming methods while simultaneously considering the requirements of efficient maintenance. A case study is used to show how systems theory can be used as the basis for evidence-based decision-making in a factory manufacturing line in Morocco. Despite the potential for conflict between optimal production objectives and efficient maintenance in high-performance factories, the four-month case application suggests that systems theory is a key for arbitration. Research implications are presented along with future research directions.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Systems Theory and Evidence‐Based Decision‐Making as Keys for Arbitrating between Optimal Production and Efficient Maintenance: A Case Study

Hallioui

Herrou

Santos

et al. 2022

Discrete Dynamics in Nature and Society

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“…It has been observed in some case studies that increasing gas injection does not result in increased oil production. Wells that can produce under current conditions, have good productivities, no substantial water cuts, and low reservoir pressure can flow without the need for increased gas injection rates [ 8 ]. When it comes to dealing with pressure loss problems or taking on the challenges of producing heavy oil from oil wells, all three artificial lift technologies (continuous flow gas lift, intermittent flow gas lift, and electrical submersible pump) are competitive.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis for enhancing crude oil recovery with continuous flow gas lift: A study in reference to the porous media of the upper Assam basin, India

Neog

2023

Heliyon

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“…Particularly, local optimization is suitable for smart well optimization, and well rate allocation because of its efficiency. In addition to the local optimization of FCVs in well management, it is also applied to gas lifting optimization (Jeong et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Numerical approach on production optimization of high water-cut well via advanced completion management using flow control valves

Ahn

Lee

Choe

et al. 2023

J Petrol Explor Prod Technol

Self Cite

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With the development of smart downhole control devices, such as the electric flow control valve (FCV), research on completion optimization using FCV control is gaining traction for successful field production management. Applying and verifying its applicability to actual assets with uncertain production issues occur are important. This study focuses on managing downhole devices to optimize fluid production in an actual onshore oil field in Alberta, Canada. The target field has been in production operation for over 20 years, and water flooding was used in the early stages of production to maintain reservoir pressure. However, according to the flow characteristics of the field, water injection caused a high water-cut issue due to water channeling. To mitigate the problem, proactive and reactive strategies were investigated to optimize FCV control. Additionally, the effect of completion optimization was estimated considering both the field-level economic value and the fluid production behavior at the device level. In most optimization cases, the cumulative water production could be reduced compared with the base case without valve control. Notably, the flow-balancing strategy increased the revenue of the target field by approximately 23 MM$ by maximizing oil production and suppressing water production. However, reactive and streamline-balancing strategies, which directly control and delay water production, undermined the economic value due to the decrease in oil production. The findings imply that FCV control strategy of suppressing only water production for the field with high water-cut could not be the optimal solution considering the reduction in oil production and the field’s revenue. The results of this study could be used as a reference to optimize downhole devices when applying water flooding in fields where high water-cut is expected.

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Sequential short-term optimization of gas lift using linear programming: A case study of a mature oil field in Russia

Cited by 6 publications

References 12 publications

Systems Theory and Evidence‐Based Decision‐Making as Keys for Arbitrating between Optimal Production and Efficient Maintenance: A Case Study

Systems Theory and Evidence‐Based Decision‐Making as Keys for Arbitrating between Optimal Production and Efficient Maintenance: A Case Study

Sensitivity analysis for enhancing crude oil recovery with continuous flow gas lift: A study in reference to the porous media of the upper Assam basin, India

Numerical approach on production optimization of high water-cut well via advanced completion management using flow control valves

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