An integrated MILP method for gathering pipeline networks considering hydraulic characteristics

Hong, Bingyuan; Li, Xiaoping; Di, Guojia; Yu, Li; Liu, Xingshuai; Chen, Shilin; Gong, Junbo

doi:10.1016/j.cherd.2019.08.013

Cited by 42 publications

(10 citation statements)

References 46 publications

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“…However, the declining curves are not comparable to those of unconventional wells, and the pipelines capacities (diameters) are not addressed in this work. Another closely related work is the one by Hong et al (2019) aimed at the design of pipeline networks, particularly considering hydraulic conditions. The work specifically highlights the fact that previous studies have ignored the hydraulic aspects when designing gathering networks.…”

Section: Literature Reviewmentioning

confidence: 99%

Pipeline network design for gathering unconventional oil and gas production using mathematical optimization

et al. 2021

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The optimal design of gathering networks for the unconventional oil and gas production is a relevant problem, particularly with the shale boom. In this work, we address a network design problem in which the main decisions are the location and sizing of tank batteries for oil and gas separation together with the pipeline connections. The goal is to gather the oil, gas and water production from a large number of wellpads, being also possible to install junction nodes to merge the production at some points of the field. One major challenge is due to the steep production decline curves, requiring continued connections of new wells. To address this problem, we develop a complex multiperiod formulation accounting for the varying flows over the planning horizon. We propose an optimization framework to obtain efficient solutions within reasonable computational times. To circumvent the computational burden of a large-scale, nonlinear and non-convex model due to the fluid dynamics of multiphase flows, we propose a solution algorithm based on a bi-level decomposition. Near optimal solutions are found for real-world instances, suggesting that facility planning can considerably improve the economics of unconventional projects.

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Section: Literature Reviewmentioning

confidence: 99%

Pipeline network design for gathering unconventional oil and gas production using mathematical optimization

et al. 2021

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“…The ant colony algorithm is also coded on the program for the optimization solver tool. The ant colony algorithm is used since it gives a better optimal result than other algorithms (Christodoulou and Ellinas, 2010;Hong et al 2019). The computer program is verified and validated if it runs well and produces a correct result.…”

Section: Computer Program Verification and Validationmentioning

confidence: 99%

“…Meanwhile, Sanaye and Mahmoudimehr (2013) proposed a mixed-integer nonlinear programming (MINLP) model for pipeline route selection by minimizing the total investment cost and gas pipeline operation with a minimum spanning tree (MST) and non-MST topology. Hong et al (2019) used the MINLP model that was solved by the ant colony optimization algorithm to optimize pipeline routes with minimum construction costs. Maliki and Farizal (2019) determined pipeline routes taking into consideration environmental aspects using goal programming.…”

Section: Introductionmentioning

confidence: 99%

City Gas Pipeline Routing Optimization Considering Cultural Heritage and Catastrophic Risk

Farizal¹,

Dachyar²,

Prasetya³

2021

IJTech

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To fulfill energy needs, especially of industrial and household sectors, natural gas is more desirable since Indonesia has abundant gas and it is more environmentally friendly. The better way to deliver the gas to consumers' sites is to use a pipeline. One important consideration in pipeline construction is route selection. This study aims to obtain the optimal gas pipeline route that has minimum investment cost while being able to serve as many consumers as possible within the available gas supply and at the same time reliable (having small catastrophic risks) and being able to conserve local cultural heritage. To this end, a mathematical model has been developed and solved. As a result, among three scenarios, the best route is scenario 3, avoiding the populated area scenario. Its total investment cost is 1,331,016,661,674.34 IDR with a pipeline length of 352.95 km, a gas supply flow rate of 6.87 MMSCFD, and a total catastrophic cost of 198,039,407,500.00 IDR. The route passes 2 subdistricts with industrial areas and 71 subdistricts with household gas consumers. None of the subdistricts with cultural heritage sites are selected.

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“…Natural gas compressor units are widely used in natural gas pipeline networks [1][2][3][4]. For example, the natural gas in transmission pipeline systems is driven by compressor units to ensure continuous transport and delivery to its customers [5,6], and compressor units are also used in underground gas storage to increase the pressure of the natural gas to a level sufficient for injection [7,8].…”

Section: Introductionmentioning

confidence: 99%

A Data-Driven Methodology for the Reliability Analysis of the Natural Gas Compressor Unit Considering Multiple Failure Modes

Zheng²,

Huang

et al. 2022

Energies

Self Cite

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In this study, a data-driven methodology for the reliability analysis of natural gas compressor units is developed, and both the historical failure data and performance data are employed. In this methodology, firstly, the reliability functions of the catastrophic failure and degradation failure are built. For catastrophic failure, the historical failure data are collected, and the rank regression model is utilized to obtain the reliability function of the catastrophic failure. For degradation failure, a support-vector machine is employed to predict the unit’s performance parameters, and the reliability function of the degradation failure is determined by comparing the performance parameters with the failure threshold. Finally, the reliability of the compressor unit is assessed and predicted by integrating the reliability functions of the catastrophic failure and the degradation failure, and both their correlation and competitiveness are considered. Furthermore, the developed methodology is applied to an actual compressor unit to confirm its feasibility, and the reliability of the compressor unit is predicted. The assessment results indicate the significant impact of the operating conditions on the precise forecasting of the performance parameters. Moreover, the effects of the value of the failure threshold and the correlation of the two failure modes on the reliability are investigated.

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An integrated MILP method for gathering pipeline networks considering hydraulic characteristics

Cited by 42 publications

References 46 publications

Pipeline network design for gathering unconventional oil and gas production using mathematical optimization

Pipeline network design for gathering unconventional oil and gas production using mathematical optimization

City Gas Pipeline Routing Optimization Considering Cultural Heritage and Catastrophic Risk

A Data-Driven Methodology for the Reliability Analysis of the Natural Gas Compressor Unit Considering Multiple Failure Modes

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