期刊
28TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING
卷 43, 期 -, 页码 657-662出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/B978-0-444-64235-6.50117-0
关键词
shale gas; water management; sustainability profit; optimization; mixed-integer nonlinear programming
资金
- European Union's Horizon 2020 Research and Innovation Program [640979]
- Spanish Ministerio de Economia, Industria y Competitividad (FEDER, UE) [CTQ2016-77968-C3-02-P]
- H2020 Societal Challenges Programme [640979] Funding Source: H2020 Societal Challenges Programme
In this work, we introduce a non-convex MINLP optimization model for water management in shale gas production. The superstructure includes: reuse/recycle in the same or neighboring wellpad, treatment in mobile units or in centralized water treatment (CWT) facility, or transport to Class II disposal wells. We consider four different water qualities: flowback water, impaired water, desalinated water and freshwater. Additionally, water blending ratios are unrestricted and friction reducers expenses are calculated accounting for impaired water contamination The objective is to optimize the fracturing schedule, the number of tanks needed in each time period, flowback destination (reuse, treated or disposal), and fracturing fluid composition by maximizing the sustainability profit (Zore et al., 2017). The problem is tackled in two steps. First, we solve an MILP model based on McCormick relaxations. Second, a smaller MINLP is solved in which some binary variables are fixed. The capabilities of the proposed mathematical model are validated against long-time horizon scenario from historical data of the Marcellus Shale play.
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