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

Research output: Contribution to journalConference articlepeer-review

5 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 languageEnglish
Pages (from-to)3335-3342
Number of pages8
JournalEnergy Procedia
Volume114
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event13th International Conference on Greenhouse Gas Control Technologies, GHGT 2016 - Lausanne, Switzerland
Duration: 14 Nov 201618 Nov 2016

Keywords

  • CO storage
  • capacity utilisation maximisation
  • optimisation
  • surrogate modelling

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