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

doi:10.3390/en10070966

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

John and Willie Leone Department of Energy & Mineral Engineering (EME)

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

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 language	English (US)
Article number	966
Journal	Energies
Volume	10
Issue number	7
DOIs	https://doi.org/10.3390/en10070966
State	Published - 2017

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

Access to Document

10.3390/en10070966

Cite this

@article{37fabbe4c28344eba7f25a38265e4f6e,

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

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.",

author = "Baehyun Min and Krupa Kannan and Sanjay Srinivasan",

note = "Funding Information: Acknowledgments: This work was supported by the EwhaWomans University Research Grant of 2017 and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP; Ministry of Science, ICT & Future Planning) (No. 2017R1C1B5017767). Publisher Copyright: {\textcopyright} 2017 by the authors.",

year = "2017",

doi = "10.3390/en10070966",

language = "English (US)",

volume = "10",

journal = "Energies",

issn = "1996-1073",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "7",

}

TY - JOUR

T1 - Quick screening of pareto-optimal operating conditions for expanding solvent-steam assisted gravity drainage using hybrid multi-objective optimization approach

AU - Min, Baehyun

AU - Kannan, Krupa

AU - Srinivasan, Sanjay

N1 - Funding Information: Acknowledgments: This work was supported by the EwhaWomans University Research Grant of 2017 and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP; Ministry of Science, ICT & Future Planning) (No. 2017R1C1B5017767). Publisher Copyright: © 2017 by the authors.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85025171314&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85025171314&partnerID=8YFLogxK

U2 - 10.3390/en10070966

DO - 10.3390/en10070966

M3 - Article

AN - SCOPUS:85025171314

SN - 1996-1073

VL - 10

JO - Energies

JF - Energies

IS - 7

M1 - 966

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this