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
Link To Document