Multi-criteria design of shale-gas-water supply chains and production systems towards optimal life cycle economics and greenhouse gas emissions under uncertainty

被引:160
作者
Chen, Yizhong [1 ,2 ]
He, Li [1 ,2 ]
Li, Jing [2 ]
Zhang, Shiyue [2 ]
机构
[1] CNPC Res Inst Safety & Environm Technol Beijing, State Key Lab Petr Pollut Control, Beijing 102206, Peoples R China
[2] North China Elect Power Univ, Sch Renewable Energy, Beijing 102206, Peoples R China
基金
国家重点研发计划;
关键词
Shale gas; Life cycle; Uncertainty; Multi-criteria decision making; Production profiles; Greenhouse gas emissions; WASTE-WATER; DECISION-MAKING; MULTIOBJECTIVE OPTIMIZATION; RISK-ASSESSMENT; ENERGY-SYSTEMS; MARCELLUS; MANAGEMENT; IMPACTS; MODEL; REMEDIATION;
D O I
10.1016/j.compchemeng.2017.11.014
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
One of the critical problems in cooperative shale gas supply chains and production systems design is life cycle optimization of the economic and environmental performance under uncertainty. This study develops an inexact multi-criteria decision making (IMCDM) model with consideration of shale gas production profiles and recoverable reserves. The IMCDM framework is based on an integration of life cycle analysis, interval linear programming, multi-objective programming, and multi-criteria decision analysis approaches. An application to the Marcellus Shale supply chains is presented to demonstrate capabilities and effectiveness of the developed model, where the future spread in shale gas output follows from the variation in drilled well counts according to different scenarios. Design and operational decisions with respect to well drilling schedule, shale gas production, freshwater supply, wastewater disposal, and greenhouse gas (GHG) emissions are then generated. An optimal strategy is further provided for stakeholders after evaluation of the trade-off among multiple criteria. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:216 / 235
页数:20
相关论文
共 43 条
  • [1] Environmental contamination due to shale gas development
    Annevelink, M. P. J. A.
    Meesters, J. A. J.
    Hendriks, A. J.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2016, 550 : 431 - 438
  • [2] [Anonymous], 2010, Greenhouse Gas Emissions Reporting from the Petroleum and Natural Gas Industry: Background Technical Support Document
  • [3] [Anonymous], 2011, United States Energy Information Administration (EIA). review of emerging resources: U.S. shale gas and shale oil plays
  • [4] Multiobjective Optimization Model for Minimizing Cost and Environmental Impact in Shale Gas Water and Wastewater Management
    Bartholomew, Timothy V.
    Mauter, Meagan S.
    [J]. ACS SUSTAINABLE CHEMISTRY & ENGINEERING, 2016, 4 (07): : 3728 - 3735
  • [5] The significance of regulation and land use patterns on natural gas resource estimates in the Marcellus shale
    Blohm, Andrew
    Peichel, Jeremy
    Smith, Caroline
    Kougentakis, Alexandra
    [J]. ENERGY POLICY, 2012, 50 : 358 - 369
  • [6] Strategic planning, design, and development of the shale gas supply chain network
    Cafaro, Diego C.
    Grossmann, Ignacio E.
    [J]. AICHE JOURNAL, 2014, 60 (06) : 2122 - 2142
  • [7] Decision-making in the oil and gas projects based on game theory: Conceptual process design
    Castillo, L.
    Dorao, C. A.
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2013, 66 : 48 - 55
  • [8] A three-level optimization methodology for the partitioning of shale gas wellpad groups
    Cen, Kang
    Zheng, Xin
    Jiang, Xin
    Zhang, You
    Yao, Ting
    [J]. JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2016, 34 : 341 - 355
  • [9] An inexact bi-level simulation-optimization model for conjunctive regional renewable energy planning and air pollution control for electric power generation systems
    Chen, Yizhong
    He, Li
    Li, Jing
    Cheng, Xi
    Lu, Hongwei
    [J]. APPLIED ENERGY, 2016, 183 : 969 - 983
  • [10] Life cycle assessment of greenhouse gas emissions and water-energy optimization for shale gas supply chain planning based on multi-level approach: Case study in Barnett, Marcellus, Fayetteville, and Haynesville shales
    Chen, Yizhong
    He, Li
    Guan, Yanlong
    Lu, Hongwei
    Li, Jing
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2017, 134 : 382 - 398