TY - CHAP
T1 - The Application of Reservoir Simulation to the Optimization of Shale Gas Supply Chain Design and its Water Management Structure
AU - Chebeir, Jorge
AU - Asala, Hope
AU - Taleghani, Arash Dahi
AU - Romagnoli, Jose A.
N1 - Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/10
Y1 - 2017/10
N2 - This paper presents an integrated techno-economic framework for the optimal design and operation of a shale gas supply chain network. A 3D coupled compositional reservoir model is constructed utilizing CMG's software suites to simulate realistic drilling, completion, stimulation (DCS) and well-pad production processes, for a specified supply chain network. Several well pad design configurations and operations are selected for shale well development, and re-stimulation and/or stimulation operations are compared for implementation in different well pad designs. Reservoir simulation output data are incorporated into a mixed integer linear programming (MILP) model developed in GAMS optimization software. The Strategic MILP model recommends an optimal drilling strategy, schedule for product transportation, and supply chain network configuration that optimizes after-tax profit. Additionally, the management of freshwater and the recycle of wastewater is developed incorporating the spatial variation of total dissolved solids (TDS) composition from multi-well shale pads. The results show the significant influence of reservoir heterogeneity and implemented DCS strategies, on the profitability of the case study shale gas assets.
AB - This paper presents an integrated techno-economic framework for the optimal design and operation of a shale gas supply chain network. A 3D coupled compositional reservoir model is constructed utilizing CMG's software suites to simulate realistic drilling, completion, stimulation (DCS) and well-pad production processes, for a specified supply chain network. Several well pad design configurations and operations are selected for shale well development, and re-stimulation and/or stimulation operations are compared for implementation in different well pad designs. Reservoir simulation output data are incorporated into a mixed integer linear programming (MILP) model developed in GAMS optimization software. The Strategic MILP model recommends an optimal drilling strategy, schedule for product transportation, and supply chain network configuration that optimizes after-tax profit. Additionally, the management of freshwater and the recycle of wastewater is developed incorporating the spatial variation of total dissolved solids (TDS) composition from multi-well shale pads. The results show the significant influence of reservoir heterogeneity and implemented DCS strategies, on the profitability of the case study shale gas assets.
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U2 - 10.1016/B978-0-444-63965-3.50241-5
DO - 10.1016/B978-0-444-63965-3.50241-5
M3 - Chapter
AN - SCOPUS:85041427453
T3 - Computer Aided Chemical Engineering
SP - 1435
EP - 1440
BT - Computer Aided Chemical Engineering
PB - Elsevier B.V.
ER -