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Mathematical Programming Models for Shale Oil & Gas Development: A Review and Perspective

Journal Article · · Computers and Chemical Engineering
 [1];  [2];  [3]
  1. National Energy Technology Lab. (NETL), Pittsburgh, PA (United States)
  2. Universidad Nacional del Litoral (Argentina)
  3. Carnegie Mellon Univ., Pittsburgh, PA (United States)

Here, in this paper, we provide a comprehensive review of mathematical programming models for shale oil & gas development, and we offer a perspective on outstanding research opportunities. We distinguish contributions in five major topic areas, namely: (1) development planning, (2) water management, (3) production optimization, (4) supplies, gathering & processing, and (5) life cycle analysis & sustainability. We highlight how various types of mathematical programming models (i.e., linear programs, nonlinear programs, mixed-integer linear programs, mixed-integer nonlinear programs) have been proposed primarily by the Process Systems Engineering community to address the respective decision-making problems, and we highlight instances of successful deployment in industry. Finally, based on a critical assessment of the existing body of work, we identify opportunities for future research across the major topic areas.

Research Organization:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
Sponsoring Organization:
USDOE Office of Fossil Energy (FE)
OSTI ID:
1991792
Report Number(s):
DOE/NETL-2023/3880
Journal Information:
Computers and Chemical Engineering, Vol. 177; ISSN 0098-1354
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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