Quick screening of pareto-optimal operating conditions for expanding solvent-steam assisted gravity drainage using hybrid multi-objective optimization approach

Baehyun Min, Krupa Kannan, Sanjay Srinivasan

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Solvent-steam mixture is a key factor in controlling the economic efficiency of the solvent-aided thermal injection process for producing bitumen in a highly viscous oil sands reservoir. This paper depicts a strategy to quickly provide trade-off operating conditions of the Expanding Solvent-Steam Assisted Gravity Drainage (ES-SAGD) process based on Pareto-optimality. Response surface models are employed to evaluate multiple ES-SAGD scenarios at low computational costs. The surrogate models play a role of objective-estimators in the multi-objective optimization that provides qualified ES-SAGD scenarios regarding bitumen recovery, steam-energy efficiency, and solvent-energy efficiency. The developed hybrid approach detects positive or negative correlations among the performance indicators of the ES-SAGD process. The derived Pareto-optimal operating conditions give flexibility in field development planning and thereby help decision makers determine the operating parameters of the ES-SAGD process based on their preferences.

Original languageEnglish (US)
Article number966
JournalEnergies
Volume10
Issue number7
DOIs
StatePublished - Jan 1 2017

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Hybrid Optimization
Multiobjective optimization
Multi-objective Optimization
Drainage
Screening
Gravity
Gravitation
Steam
Energy Efficiency
Energy efficiency
Pareto Optimality
Scenarios
Surrogate Model
Oil sands
Performance Indicators
Petroleum reservoirs
Response Surface
Hybrid Approach
Computational Cost
Injection

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

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