• DocumentCode
    116356
  • Title

    Optimization of water management in shale gas production process

  • Author

    Jiyao Gao ; Fengqi You

  • Author_Institution
    Dept. of Chem. & Biol. Eng., Northwestern Univ., Evanston, IL, USA
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    6807
  • Lastpage
    6812
  • Abstract
    We propose an optimization model for the design and operation of the water management system in shale gas production process. The objective is to maximize the profit per unit freshwater consumption. This model is formulated as a mixed-integer linear fractional programming (MILFP) problem, which takes into account both the economic performance and water-use efficiency associated with the shale gas production. We also present tailored optimization algorithms for efficiently solving the MILFP problem, which results from the water management optimization model. We apply the proposed optimization model to a long-term spatially explicit case study. The optimal results show that the net profit for shale gas production per unit freshwater consumption after water treatment is $1,756 per thousand barrels of freshwater. The results also indicate that an efficient water management strategy should be a combination of different water management options, including centralized wastewater treatment, underground disposal, and onsite treatment.
  • Keywords
    design engineering; environmental economics; industrial economics; integer programming; linear programming; profitability; shale gas; water treatment; MILFP problem; centralized wastewater treatment; economic performance; freshwater consumption; mixed-integer linear fractional programming problem; optimization model; profit; shale gas production process; underground disposal; water management; water-use efficiency; Algorithm design and analysis; Continuous wavelet transforms; Optimization; Pipelines; Production; Transportation; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040458
  • Filename
    7040458