Production-System Optimization of Gas Fields Using Hybrid Fuzzy-Genetic 
Approach

Park, Hui-june; Lim, Jong‐Se; Roh, Jeongyong; Kang, Jun-Koo; Min, Byoung-Goo

doi:10.2523/100179-ms

Cited by 4 publications

(2 citation statements)

References 9 publications

(10 reference statements)

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“…10–16 De Souza et al 17 proposed a framework for the analysis of continuous deepwater gas lift systems using an optimization algorithm. Park et al 18 applied a fuzzy nonlinear programming approach to optimize the allocation of the single- or multi-objective gas production system for a reduction in capital and operating expenditures (CAPEX & OPEX), where a hybrid genetic algorithm was used in manifold system. Aven and Pedersen 19 presented an overall framework to provide new insights and guidelines on how to understand and present the uncertainties in practical production assurance analyses with the example of the layout of cluster manifolds, where the model of risks is proposed.…”

Section: Introductionmentioning

confidence: 99%

A new partition model for the optimization of subsea cluster manifolds based on the new definition of layout cost

Wang

Duan

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part M:

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The engineering practicability for the partition optimization of subsea cluster manifolds should be improved to provide a broader insight to subsea engineering designers, considering three connection types of jumpers between subsea wells and cluster manifolds. With the jumpers, pipeline end terminations and infield flowlines, this study describes an optimization method by a new definition of the layout cost of a piecewise function. That is different from the layout cost of the square of Euclidean Distance when the connection types are assumed to be straight flowlines without considerations of the connection facilities. A new practical optimization model of the partition of cluster manifolds at the lowest cost is presented and its core algorithm is developed with a program by MATLAB. Meanwhile, the demonstration of the convergence of the proposed algorithm is conducted. The validity of the model is evaluated by the simulation with a random two-dimensional distribution of 20 subsea wells. With the rapid convergence of the algorithm, 20 subsea wells can be partitioned into corresponding two to seven cluster manifolds and three connection types of jumpers in engineering can be obtained exactly by comparisons. In addition, spared well slots on cluster manifolds can be left for the future tiebacks of subsea wells by changing the types of cluster manifolds.

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Section: Introductionmentioning

confidence: 99%

A new partition model for the optimization of subsea cluster manifolds based on the new definition of layout cost

Wang

Duan

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part M:

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“…In their work, the location of the optimal production platform was obtained by an NGRS with a global optimizer while minimizing CAPEX and OPEX. Park et al 10 proposed a fuzzy nonlinear programming approach combined with a hybrid genetic algorithm for the optimal design of gas production system. The gas production rate of each well and the optimal pipeline networks were optimized by the synthetic optimization method to minimize the investment.…”

Section: Introductionmentioning

confidence: 99%

A mathematical solution of optimal partition of production loops for subsea wells in the layout of daisy chains

Wang

Duan

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part M:

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The daisy chain is one of the main layout types of the subsea production system in the development of deepwater oil and gas fields. The number of production loops, length of subsea pipelines, and partition of subsea wells are the main concerns in pigging loop design, pipeline laying, and flow assurance, which become important factors for the capital and operating expenditures and the risk management of deepwater fields. This article focuses on the basic optimal partition problem of production loops for subsea wells in the layout of daisy chains. It proposes to find the optimal partition method at the lowest layout cost, where a mathematical model is proposed and its dedicated algorithm is developed. Numerical simulations are conducted to evaluate the validity of the proposed model and the performance of the algorithm. The results show that the model can accurately describe the optimal partition problem of daisy chains in practice, and a mathematical solution to the optimal partition can be obtained by the algorithm programmed in MATLAB, which can provide the engineers a quantitative reference for the layout of daisy chains in engineering.

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A Hybrid Artificial Intelligence Method for the Optimization of Integrated Gas Production System

Park¹,

Lim

Kang³

et al. 2006

SPE Asia Pacific Oil &Amp; Gas Conference and Exhibition

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractThe optimization of gas production system has been largely based on a nodal analysis approach of individual wells. This approach limits the overall benefit of a field study because it ignores complicated flow interactions among wells during the optimization process, often resulting suboptimal operations. A major impediment in the formal optimization of large petroleum producing fields is the excessive computation time during optimizing processes. The conventional deterministic algorithm can not take into consideration the uncertainties regarding nonlinear and complex systems. This paper proposes a new hybrid artificial intelligence approach for field-wide optimization of integrated production system including gas reservoir, well flow, and surface production network. An advanced polynomial neural network (PNN) with layer over-passing structure has been developed to replace a relatively time consuming reservoir simulator through robust and systematic search algorithm. The networks are subject to some form of training based on a representative sample of simulations that can be used as a re-useable knowledge base of information for addressing many different management questions. For an optimal design of gas production systems, this study uses an integrated simulation model implemented by coupling a PNN with surface production network and optimization scheme based on fuzzy nonlinear programming approach to accommodate uncertainties by combining the fuzzy λformulation with a co-evolutionary genetic algorithm. The proposed approach significantly reduces computational effort for optimization of the development scheme within reasonable accuracy. The hybrid optimization method can find a globally compromise solution and offer a new alternative with significant improvement over the existing conventional techniques. This technique provides optimum production rates of each well of the entire production system to deliver the target rates over the period of the gas contract requirements. This system has been validated by synthetic case study offering an important element for management of gas production strategies and field development.

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Production-System Optimization of Gas Fields Using Hybrid Fuzzy-Genetic Approach

Cited by 4 publications

References 9 publications

A new partition model for the optimization of subsea cluster manifolds based on the new definition of layout cost

A new partition model for the optimization of subsea cluster manifolds based on the new definition of layout cost

A mathematical solution of optimal partition of production loops for subsea wells in the layout of daisy chains

A Hybrid Artificial Intelligence Method for the Optimization of Integrated Gas Production System

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