The development of a dynamic CO2 injection strategy for the depleted forties and Nelson oilfields using regression-based multi-objective programming

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Title: The development of a dynamic CO2 injection strategy for the depleted forties and Nelson oilfields using regression-based multi-objective programming
Authors: Borda, ES
Govindan, R
Elahi, N
Korre, A
Durucan, S
Item Type: Conference Paper
Abstract: An optimisation strategy to maximise the CO 2 storage capacity utilisation of a deep saline aquifer is presented in this paper. This was achieved by a scenario of simultaneous CO 2 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 CO 2 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 CO 2 injection.
Issue Date: 18-Aug-2017
Date of Acceptance: 14-Nov-2016
URI: http://hdl.handle.net/10044/1/54695
DOI: https://dx.doi.org/10.1016/j.egypro.2017.03.1465
ISSN: 1876-6102
Publisher: Elsevier
Start Page: 3335
End Page: 3342
Journal / Book Title: Energy Procedia
Volume: 114
Copyright Statement: © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Sponsor/Funder: Natural Environment Research Council (NERC)
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: NE/H01392X/1
EP/K035967/1
Conference Name: 13th International Conference on Greenhouse Gas Control Technologies, GHGT-13
Publication Status: Published
Start Date: 2016-11-14
Finish Date: 2016-11-18
Conference Place: Lausanne, Switzerland
Appears in Collections:Faculty of Engineering
Earth Science and Engineering



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