Strategic Design and Tactical Planning for Energy Supply Chain Systems

Guerra, Omar J.; Calderón, Andrés J.; Papageorgiou, Lazaros G.; Reklaitis, Gintaras V.

doi:10.1007/978-3-319-42803-1_3

Cited by 2 publications

(3 citation statements)

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“…The main aspects and decision elements associated with the deterministic planning framework for integrated shale gas and water supply chains, developed by the authors, are presented in Table . This planning framework was used to address a variety of case studies, including the analysis of the mathematical formulation of water quality constraints as well as the water‐energy‐economics nexus associated with the development of shale gas resources in Colombia . The reader is referred to the original publication of the planning framework for more details regarding the mathematical formulation and application of the deterministic framework, for example, detailed definition of the model parameters, variables, and constraints.…”

Section: Methodsmentioning

confidence: 99%

“…Moreover, the schedule of drilling and hydraulic fracturing operations is linked to the design and planning of gas and water transport and processing networks. Therefore, the integration of aspects such as the selection of the well‐pad configuration, that is, length of each horizontal well, number of hydraulic fractures per well, and number of wells per well‐pad, the design and planning of the shale gas transportation and processing network, and the selection of the water management strategy are critical for any model‐based system analysis aimed to evaluate the development of shale gas resources . Furthermore, the development of shale gas faces the uncertainties inherent to the oil and gas sector, that is, shale play productivity, market conditions (gas demand and prices), freshwater availability, and wastewater composition, which must be considered in the evaluation of any shale gas development.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, data driven or simulation based tools have been developed for the economic assessment of natural gas production from shale gas plays, including considerations regarding the optimal well‐pad layout . Furthermore, supply chain optimization models have also been proposed for shale gas development, for the corresponding water management problems, and for the integrated shale gas development and water management problem . Some of the aforementioned frameworks consider uncertainty in freshwater availability, water demand for hydraulic fracturing as well as wastewater production, gas production, and gas prices .…”

Section: Introductionmentioning

confidence: 99%

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Integrated shale gas supply chain design and water management under uncertainty

et al. 2018

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The development of shale gas resources is subject to technical challenges and markedly affected by volatile markets that can undermine the development of new projects. Consequently, stakeholders can greatly benefit from decision-making support tools that integrate the complexity of the system along with the uncertainties inherent to the problem. Accordingly, a general methodology is proposed in this work for the evaluation of integrated shale gas and water supply chains under uncertainty. First, key parametric uncertainties are identified from a candidate pool via a global sensitivity analysis based on a deterministic optimization model. Then, a two-stage stochastic model is developed considering only the key uncertain parameters in the problem. Moreover, the merits of modeling uncertainty and implementing the stochastic solution approach are evaluated using the expected value of perfect information and the value of the stochastic solution metrics. Furthermore, the conditional value-at-risk approach was implemented to evaluate different risk-aversion levels and the corresponding impacts on the shale gas development plan. The proposed methodology is illustrated through two real-world case studies involving six and eight potential well-pad locations and two options of well-pad layouts.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%