A Least Squares Method for Ensemble-based Multi-objective Oil Production Optimization ⁎ ⁎This project is financially supported by the Danish Hydrocarbon Research and Technology Centre.

Christiansen, Lasse Hjuler; Hørsholt, Steen; Jørgensen, John Bagterp

doi:10.1016/j.ifacol.2018.06.347

Cited by 3 publications

(3 citation statements)

References 24 publications

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“…The first approach to deal with uncertainties is probably stochastic (linear) programming in the form of a risk factor to manage robustness, whereas robust optimization is known to be more useful in engineering fields, according to the study by Mulvey and Bai [3,4].…”

Section: Methodsmentioning

confidence: 99%

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Akhavan

Hosseini

Bahrami

2023

Teh. glas. (Online)

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The notable increase in petroleum demand, together with a decline in discovery rates, has highlighted the desire for efficient production of existing oil wells worldwide. Mainly, the productivity of the existing large oil fields makes us consider the principles of managing reservoirs to make the most of extraction. At the same time, many different uncertainties in the course of the developing oil field, including geological, operational, and economic uncertainties, have a detrimental impact on the reservoir's effective production, which is why dealing with uncertainty is crucial for maximizing output. There is a broad variety of studies on managing oil reservoirs under uncertainty information in the literature. In this study a short review of earlier works has been done on optimization strategies and management of uncertainty in reservoir production.

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Section: Methodsmentioning

confidence: 99%

“…Several optimizing strategies can be categorized into two classes of approaches to assess the location of the well: gradient-based ex, and derivative-free ex approaches [23,24]. Optimization techniques have recently been implemented to design and reduce the computational problem of well-placement optimization within uncertainty [27,3].…”

Section: Methodsmentioning

confidence: 99%

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Akhavan

Hosseini

Bahrami

2023

Teh. glas. (Online)

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“…The least-square method provides an efficient and unified solution strategy for ensemblebased multi-objective optimization problems. The LS method uses a priori characterization of desirable trade-offs that allows the technique to focus on a single Pareto optimal point (Christiansen et al, 2018). The essential advantage of the LS method is that it reduces the computational complexities compared to other multi-objective optimization techniques.…”

Section: Least Square Methods and Solver In Gas Lift Optimizationmentioning

confidence: 99%

Gas lift optimization in the oil and gas production process: a review of production challenges and optimization strategies

Okorocha

Chinwuko

Mgbemena

et al. 2020

Int. J. Ind. Optim.

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Gas Lift operation involves the injection of compressed gas into a low producing or non-performing well to maximize oil production. The oil produced from a gas lift well is a function of the gas injection rate. The optimal gas injection rate is achieved by optimization. However, the gas lift, which is an artificial lift process, has some drawbacks such as the deterioration of the oil well, incorrect production metering, instability of the gas compressor, and over injection of gas. This paper discusses the various optimization techniques for the gas lift in the Oil and Gas production process. A systematic literature search was conducted on four databases, namely Google Scholar, Scopus, IEE Explore and DOAJ, to identify papers that focused on Gas lift optimizations. The materials for this review were collected primarily via database searches. The major challenges associated with gas lift were identified, and the different optimization strategies available in the literature reviewed. The strategies reviewed were found to be based on artificial intelligence (AI) and machine learning (ML). The implementation of any of the optimization strategies for the gas lift will enhance profitability, reduce operational cost, and extend the life of the wells.

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Optimization and intelligent control for operation parameters of multiphase mixture transportation pipeline in oilfield: A case study

Wang

Shi

et al. 2021

Journal of Pipeline Science and Engineering

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A Least Squares Method for Ensemble-based Multi-objective Oil Production Optimization ⁎ ⁎This project is financially supported by the Danish Hydrocarbon Research and Technology Centre.

Cited by 3 publications

References 24 publications

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Gas lift optimization in the oil and gas production process: a review of production challenges and optimization strategies

Optimization and intelligent control for operation parameters of multiphase mixture transportation pipeline in oilfield: A case study

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