The Development of a Dynamic CO2 Injection Strategy for the Depleted Forties and Nelson Oilfields Using Regression-based Multi-objective Programming

Ernesto Santibanez Borda; Rajesh Govindan; Nasim Elahi; Anna Korre; Sevket Durucan

doi:10.1016/j.egypro.2017.03.1465

The Development of a Dynamic CO₂ Injection Strategy for the Depleted Forties and Nelson Oilfields Using Regression-based Multi-objective Programming

Ernesto Santibanez Borda
, Rajesh Govindan
, Nasim Elahi
, Anna Korre^*
, Sevket Durucan

^*Corresponding author for this work

Imperial College London

Research output: Contribution to journal › Conference article › peer-review

8 Citations (Scopus)

Abstract

An optimisation strategy to maximise the CO₂ storage capacity utilisation of a deep saline aquifer is presented in this paper. This was achieved by a scenario of simultaneous CO₂ injection and brine production within the Forties sandstone. The optimisation was performed using the SIMPLEX and Generalised Reduced Gradient algorithms and the assistance of surrogate modelling techniques. Results have shown that, by using five brine production wells producing up to 2.2 Mtonnes/year, the CO₂ storage capacity of the reservoir can be increased by 125% compared to when no brine production is used. It is also observed that pressure constraints are the main limiting factors controlling further CO₂ injection.

Original language	English
Pages (from-to)	3335-3342
Number of pages	8
Journal	Energy Procedia
Volume	114
DOIs	https://doi.org/10.1016/j.egypro.2017.03.1465
Publication status	Published - 2017
Externally published	Yes
Event	13th International Conference on Greenhouse Gas Control Technologies, GHGT 2016 - Lausanne, Switzerland Duration: 14 Nov 2016 → 18 Nov 2016

Keywords

CO storage
capacity utilisation maximisation
optimisation
surrogate modelling

Access to Document

10.1016/j.egypro.2017.03.1465

Cite this

@article{d02c1c2b26da4a75abd1a60c14ffb26c,

title = "The Development of a Dynamic CO2 Injection Strategy for the Depleted Forties and Nelson Oilfields Using Regression-based Multi-objective Programming",

abstract = "An optimisation strategy to maximise the CO2 storage capacity utilisation of a deep saline aquifer is presented in this paper. This was achieved by a scenario of simultaneous CO2 injection and brine production within the Forties sandstone. The optimisation was performed using the SIMPLEX and Generalised Reduced Gradient algorithms and the assistance of surrogate modelling techniques. Results have shown that, by using five brine production wells producing up to 2.2 Mtonnes/year, the CO2 storage capacity of the reservoir can be increased by 125\% compared to when no brine production is used. It is also observed that pressure constraints are the main limiting factors controlling further CO2 injection.",

keywords = "CO storage, capacity utilisation maximisation, optimisation, surrogate modelling",

author = "Borda, \{Ernesto Santibanez\} and Rajesh Govindan and Nasim Elahi and Anna Korre and Sevket Durucan",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors.; 13th International Conference on Greenhouse Gas Control Technologies, GHGT 2016 ; Conference date: 14-11-2016 Through 18-11-2016",

year = "2017",

doi = "10.1016/j.egypro.2017.03.1465",

language = "English",

volume = "114",

pages = "3335--3342",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - The Development of a Dynamic CO2 Injection Strategy for the Depleted Forties and Nelson Oilfields Using Regression-based Multi-objective Programming

AU - Borda, Ernesto Santibanez

AU - Govindan, Rajesh

AU - Elahi, Nasim

AU - Korre, Anna

AU - Durucan, Sevket

PY - 2017

Y1 - 2017

N2 - An optimisation strategy to maximise the CO2 storage capacity utilisation of a deep saline aquifer is presented in this paper. This was achieved by a scenario of simultaneous CO2 injection and brine production within the Forties sandstone. The optimisation was performed using the SIMPLEX and Generalised Reduced Gradient algorithms and the assistance of surrogate modelling techniques. Results have shown that, by using five brine production wells producing up to 2.2 Mtonnes/year, the CO2 storage capacity of the reservoir can be increased by 125% compared to when no brine production is used. It is also observed that pressure constraints are the main limiting factors controlling further CO2 injection.

AB - An optimisation strategy to maximise the CO2 storage capacity utilisation of a deep saline aquifer is presented in this paper. This was achieved by a scenario of simultaneous CO2 injection and brine production within the Forties sandstone. The optimisation was performed using the SIMPLEX and Generalised Reduced Gradient algorithms and the assistance of surrogate modelling techniques. Results have shown that, by using five brine production wells producing up to 2.2 Mtonnes/year, the CO2 storage capacity of the reservoir can be increased by 125% compared to when no brine production is used. It is also observed that pressure constraints are the main limiting factors controlling further CO2 injection.

KW - CO storage

KW - capacity utilisation maximisation

KW - optimisation

KW - surrogate modelling

UR - https://www.scopus.com/pages/publications/85029655573

U2 - 10.1016/j.egypro.2017.03.1465

DO - 10.1016/j.egypro.2017.03.1465

M3 - Conference article

AN - SCOPUS:85029655573

SN - 1876-6102

VL - 114

SP - 3335

EP - 3342

JO - Energy Procedia

JF - Energy Procedia

T2 - 13th International Conference on Greenhouse Gas Control Technologies, GHGT 2016

Y2 - 14 November 2016 through 18 November 2016

ER -

The Development of a Dynamic CO₂ Injection Strategy for the Depleted Forties and Nelson Oilfields Using Regression-based Multi-objective Programming

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this