Optimisation of Petroleum Production Well Placement under Geological Uncertainty

Emmanuel I. Epelle; Dimitrios I. Gerogiorgis

doi:10.1016/B978-0-12-823377-1.50208-1

Optimisation of Petroleum Production Well Placement under Geological Uncertainty

Emmanuel I. Epelle, Dimitrios I. Gerogiorgis

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Large investments are required for the positioning and drilling of oil and gas wells, implying that decisions related to these activities may be significantly aided by sound and proven mathematical-oriented methods. The use of intuitive engineering judgement alone cannot guarantee sustainable profitability over long periods, especially under geological (reservoir model) uncertainty. To capture significant uncertainty sources in the subsurface geology of the reservoir considered in this study, geostatistical model realisations are obtained using available information (permeabilities and porosities). We use specialised algorithms of the MATLAB Reservoir Simulation Toolbox (MRST, interfaced with PETREL™) in order to determine optimal petroleum production well locations and production rates and thus maximise the field oil recovery. The developed computational workflow has been applied to a realistic case study, for which robust optimality is demonstrated using the worst-case realisation for determining optimal well locations.

Original language	English
Title of host publication	Computer Aided Chemical Engineering
Subtitle of host publication	30th European Symposium on Computer Aided Process Engineering
Editors	Sauro Pierucci, Flavio Manenti, Giulia Luisa Bozzano, Davide Manca
Publisher	Elsevier
Pages	1243-1248
Number of pages	6
Volume	48
ISBN (Print)	1570-7946
DOIs	https://doi.org/10.1016/B978-0-12-823377-1.50208-1
Publication status	Published - 19 Oct 2020
Event	30th European Symposium on Computer Aided Process Engineering - Online, Milan, Italy Duration: 31 Aug 2020 → 2 Sep 2020 https://www.aidic.it/escape30/enter.php

Publication series

Name	Computer Aided Chemical Engineering
Publisher	Elsevier
Volume	48
ISSN (Print)	1570-7946

Conference

Conference	30th European Symposium on Computer Aided Process Engineering
Abbreviated title	ESCAPE 30
Country/Territory	Italy
City	Milan
Period	31/08/20 → 2/09/20
Internet address	https://www.aidic.it/escape30/enter.php

Keywords

Production optimisation
optimal well placement
geological uncertainty

Access to Document

10.1016/B978-0-12-823377-1.50208-1

357EpelleAccepted author manuscript, 1.3 MB

http://www.sciencedirect.com/science/article/pii/B9780128233771502081

Cite this

Epelle, E. I., & Gerogiorgis, D. I. (2020). Optimisation of Petroleum Production Well Placement under Geological Uncertainty. In S. Pierucci, F. Manenti, G. L. Bozzano, & D. Manca (Eds.), Computer Aided Chemical Engineering: 30th European Symposium on Computer Aided Process Engineering (Vol. 48, pp. 1243-1248). (Computer Aided Chemical Engineering; Vol. 48). Elsevier. https://doi.org/10.1016/B978-0-12-823377-1.50208-1

Epelle, Emmanuel I. ; Gerogiorgis, Dimitrios I. / Optimisation of Petroleum Production Well Placement under Geological Uncertainty. Computer Aided Chemical Engineering: 30th European Symposium on Computer Aided Process Engineering. editor / Sauro Pierucci ; Flavio Manenti ; Giulia Luisa Bozzano ; Davide Manca. Vol. 48 Elsevier, 2020. pp. 1243-1248 (Computer Aided Chemical Engineering).

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Epelle, EI & Gerogiorgis, DI 2020, Optimisation of Petroleum Production Well Placement under Geological Uncertainty. in S Pierucci, F Manenti, GL Bozzano & D Manca (eds), Computer Aided Chemical Engineering: 30th European Symposium on Computer Aided Process Engineering. vol. 48, Computer Aided Chemical Engineering, vol. 48, Elsevier, pp. 1243-1248, 30th European Symposium on Computer Aided Process Engineering, Milan, Italy, 31/08/20. https://doi.org/10.1016/B978-0-12-823377-1.50208-1

Optimisation of Petroleum Production Well Placement under Geological Uncertainty. / Epelle, Emmanuel I.; Gerogiorgis, Dimitrios I.

Computer Aided Chemical Engineering: 30th European Symposium on Computer Aided Process Engineering. ed. / Sauro Pierucci; Flavio Manenti; Giulia Luisa Bozzano; Davide Manca. Vol. 48 Elsevier, 2020. p. 1243-1248 (Computer Aided Chemical Engineering; Vol. 48).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Optimisation of Petroleum Production Well Placement under Geological Uncertainty

AU - Epelle, Emmanuel I.

AU - Gerogiorgis, Dimitrios I.

PY - 2020/10/19

Y1 - 2020/10/19

N2 - Large investments are required for the positioning and drilling of oil and gas wells, implying that decisions related to these activities may be significantly aided by sound and proven mathematical-oriented methods. The use of intuitive engineering judgement alone cannot guarantee sustainable profitability over long periods, especially under geological (reservoir model) uncertainty. To capture significant uncertainty sources in the subsurface geology of the reservoir considered in this study, geostatistical model realisations are obtained using available information (permeabilities and porosities). We use specialised algorithms of the MATLAB Reservoir Simulation Toolbox (MRST, interfaced with PETREL™) in order to determine optimal petroleum production well locations and production rates and thus maximise the field oil recovery. The developed computational workflow has been applied to a realistic case study, for which robust optimality is demonstrated using the worst-case realisation for determining optimal well locations.

AB - Large investments are required for the positioning and drilling of oil and gas wells, implying that decisions related to these activities may be significantly aided by sound and proven mathematical-oriented methods. The use of intuitive engineering judgement alone cannot guarantee sustainable profitability over long periods, especially under geological (reservoir model) uncertainty. To capture significant uncertainty sources in the subsurface geology of the reservoir considered in this study, geostatistical model realisations are obtained using available information (permeabilities and porosities). We use specialised algorithms of the MATLAB Reservoir Simulation Toolbox (MRST, interfaced with PETREL™) in order to determine optimal petroleum production well locations and production rates and thus maximise the field oil recovery. The developed computational workflow has been applied to a realistic case study, for which robust optimality is demonstrated using the worst-case realisation for determining optimal well locations.

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VL - 48

T3 - Computer Aided Chemical Engineering

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A2 - Bozzano, Giulia Luisa

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T2 - 30th European Symposium on Computer Aided Process Engineering

Y2 - 31 August 2020 through 2 September 2020

ER -

Epelle EI, Gerogiorgis DI. Optimisation of Petroleum Production Well Placement under Geological Uncertainty. In Pierucci S, Manenti F, Bozzano GL, Manca D, editors, Computer Aided Chemical Engineering: 30th European Symposium on Computer Aided Process Engineering. Vol. 48. Elsevier. 2020. p. 1243-1248. (Computer Aided Chemical Engineering). https://doi.org/10.1016/B978-0-12-823377-1.50208-1

Optimisation of Petroleum Production Well Placement under Geological Uncertainty

Abstract

Publication series

Conference

Keywords

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