Robust Stochastic-Fuzzy Modelling Approach for Shale Gas Wastewater Management under Uncertainty

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Title: Robust Stochastic-Fuzzy Modelling Approach for Shale Gas Wastewater Management under Uncertainty
Authors: Onishi, Viviani C. | Labarta, Juan A. | Caballero, José A. | Antunes, Carlos H.
Research Group/s: Computer Optimization of Chemical Engineering Processes and Technologies (CONCEPT)
Center, Department or Service: Universidad de Alicante. Departamento de Ingeniería Química | Universidad de Alicante. Instituto Universitario de Ingeniería de los Procesos Químicos
Keywords: Shale gas | Wastewater | Zero-liquid discharge | ZLD | Desalination | Management | Fuzzy | Stochastic | Reuse | Recycling
Knowledge Area: Ingeniería Química
Date Created: 22-Sep-2017
Issue Date: 26-Nov-2017
Citation: Onishi, Viviani C., et al. “Robust Stochastic-Fuzzy Modelling Approach for Shale Gas Wastewater Management under Uncertainty”. In: Book of Abstracts of the 18th European Meeting on Environmental Chemistry (EMEC). Chemistry Towards an Infinite Environment. ISBN 978-972-752-228-6 (pag. 267, PP Env.Tech. #23)
Abstract: In this work, a new stochastic-fuzzy-based modelling approach is introduced for the robust optimization of shale gas wastewater management under multiple sources of uncertainty. Different management alternatives are considered to deal with the wastewater produced from fracking sites (well pads), including treatment plants—composed by pre-treatment and zero-liquid discharge (ZLD) desalination units—to allow water recycling or internal reuse in shale gas operations, or final disposal in Class II saline water injection wells (i.e., conventional deep-well injection).
Description: 18th European Meeting on Environmental Chemistry (EMEC). Poster (#23) http://emec18.eventos.chemistry.pt/
Sponsor: This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No. 640979.
URI: http://hdl.handle.net/10045/71670
ISBN: 978-972-752-228-6
Language: eng
Type: info:eu-repo/semantics/conferenceObject
Rights: Licencia Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0
Peer Review: si
Appears in Collections:INV - CONCEPT - Comunicaciones a Congresos, Conferencias, etc.
Research funded by the EU

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