Holistic Planning Model for Sustainable Water Management in the Shale Gas Industry
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Título: | Holistic Planning Model for Sustainable Water Management in the Shale Gas Industry |
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Autor/es: | Carrero-Parreño, Alba | Labarta, Juan A. | Salcedo Díaz, Raquel | Ruiz-Femenia, Rubén | Onishi, Viviani C. | Caballero, José A. | Grossmann, Ignacio E. |
Grupo/s de investigación o GITE: | Computer Optimization of Chemical Engineering Processes and Technologies (CONCEPT) | Estudios de Transferencia de Materia y Control de Calidad de Aguas (ETMyCCA) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ingeniería Química | Universidad de Alicante. Instituto Universitario de Ingeniería de los Procesos Químicos |
Palabras clave: | Water management | Optimization | MINLP | Planning | Shale gas | Sustainability profit |
Área/s de conocimiento: | Ingeniería Química |
Fecha de creación: | 11-may-2018 |
Fecha de publicación: | 4-sep-2018 |
Editor: | American Chemical Society |
Cita bibliográfica: | Industrial & Engineering Chemistry Research. 2018, 57(39): 13131-13143. doi:10.1021/acs.iecr.8b02055 |
Resumen: | To address water planning decisions in shale gas operations, we present a novel water management optimization model that explicitly takes into account the effect of high concentrations of total dissolved solids (TDS) and temporal variations in the impaired water. The model comprises different water management strategies: (a) direct wastewater reuse, which is possible because of new additives tolerant to high TDS concentrations but at the expense of increasing the costs; (b) wastewater treatment, separately taking into account pretreatment, softening, and desalination technologies; and (c) the use of Class II disposal sites. The objective is to maximize the “sustainability profit” by determining the flowback destination (reuse, degree of treatment, or disposal), the fracturing schedule, the fracturing-fluid composition, and the number of water-storage tanks needed for each period of time. Because of the rigorous determination of TDS in all water streams, the model is a nonconvex MINLP model that is tackled in two steps: first, an MILP model is solved on the basis of McCormick relaxations; next, the binary variables that determine the fracturing schedule are fixed, and a smaller MINLP is solved. Finally, several case studies based on Marcellus Shale Play are optimized to illustrate the effectiveness of the proposed formulation. The model identifies direct reuse as the best water-management option to improve both economic and environmental criteria. |
Patrocinador/es: | This project has received funding from the European Union’s Horizon 2020 Research and Innovation Program under grant agreement no. 640979 and from the Spanish Ministerio de Economiá , Industria y Competitividad CTQ2016-77968-C3-02-P (FEDER, UE). |
URI: | http://hdl.handle.net/10045/81707 |
ISSN: | 0888-5885 (Print) | 1520-5045 (Online) |
DOI: | 10.1021/acs.iecr.8b02055 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2018 American Chemical Society |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1021/acs.iecr.8b02055 |
Aparece en las colecciones: | Investigaciones financiadas por la UE INV - CONCEPT - Artículos de Revistas INV - ETMyCCA - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2018_Carrero-Parreno_etal_IndEngChemRes_preprint.pdf | Preprint (acceso abierto) | 2,21 MB | Adobe PDF | Abrir Vista previa |
2018_Carrero-Parreno_etal_IndEngChemRes_final.pdf | Versión final (acceso restringido) | 1,95 MB | Adobe PDF | Abrir Solicitar una copia |
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