Handling geological uncertainties across model ensembles: A large mature field example

R. Hutton; T. Buckle; V. Demyanov; D. Arnold; A. Antropov; E. Kharyba; M. Kostic; M. Pilipenko

Handling geological uncertainties across model ensembles: A large mature field example

R. Hutton^*, T. Buckle, V. Demyanov, D. Arnold, A. Antropov, E. Kharyba, M. Kostic, M. Pilipenko

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

This study presents the application of an assisted history matching workflow to a large mature field, which utilises an ensemble of distinct geological scenarios to improve the total misfit by up to 22%. Inadequacies in history matching of this field, which is interpreted as a simple prograding delta deposit, have led to the expansion of modelling efforts at a mature stage of field production. An ensemble of models, which represent distinctly different geological scenarios is used to account for a larger range of geological uncertainty within the history matching workflow. The effective selection and modelling of these concepts has significantly improved on the total field misfit and provided a more robust platform for optimisation analysis for ongoing development.

Original language	English
Title of host publication	80th EAGE Conference and Exhibition 2018
Subtitle of host publication	Opportunities Presented by the Energy Transition
Publisher	EAGE Publishing BV
ISBN (Electronic)	9789462822542
Publication status	Published - Jun 2018
Event	80th EAGE Conference and Exhibition 2018 - Copenhagen, Denmark Duration: 11 Jun 2018 → 14 Jun 2018 https://events.eage.org/en/2018/eage-annual-2018

Conference

Conference	80th EAGE Conference and Exhibition 2018
Country/Territory	Denmark
City	Copenhagen
Period	11/06/18 → 14/06/18
Internet address	https://events.eage.org/en/2018/eage-annual-2018

ASJC Scopus subject areas

Geochemistry and Petrology
Geophysics

Cite this

@inproceedings{a59bc5cbb8b64d9fa0e0c5c5266edd84,

title = "Handling geological uncertainties across model ensembles: A large mature field example",

abstract = "This study presents the application of an assisted history matching workflow to a large mature field, which utilises an ensemble of distinct geological scenarios to improve the total misfit by up to 22%. Inadequacies in history matching of this field, which is interpreted as a simple prograding delta deposit, have led to the expansion of modelling efforts at a mature stage of field production. An ensemble of models, which represent distinctly different geological scenarios is used to account for a larger range of geological uncertainty within the history matching workflow. The effective selection and modelling of these concepts has significantly improved on the total field misfit and provided a more robust platform for optimisation analysis for ongoing development.",

author = "R. Hutton and T. Buckle and V. Demyanov and D. Arnold and A. Antropov and E. Kharyba and M. Kostic and M. Pilipenko",

year = "2018",

month = jun,

language = "English",

booktitle = "80th EAGE Conference and Exhibition 2018",

publisher = "EAGE Publishing BV",

address = "Netherlands",

note = "80th EAGE Conference and Exhibition 2018 ; Conference date: 11-06-2018 Through 14-06-2018",

url = "https://events.eage.org/en/2018/eage-annual-2018",

}

Hutton, R, Buckle, T, Demyanov, V , Arnold, D, Antropov, A, Kharyba, E, Kostic, M & Pilipenko, M 2018, Handling geological uncertainties across model ensembles: A large mature field example. in 80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition. EAGE Publishing BV, 80th EAGE Conference and Exhibition 2018, Copenhagen, Denmark, 11/06/18.

TY - GEN

T1 - Handling geological uncertainties across model ensembles

T2 - 80th EAGE Conference and Exhibition 2018

AU - Hutton, R.

AU - Buckle, T.

AU - Demyanov, V.

AU - Arnold, D.

AU - Antropov, A.

AU - Kharyba, E.

AU - Kostic, M.

AU - Pilipenko, M.

PY - 2018/6

Y1 - 2018/6

N2 - This study presents the application of an assisted history matching workflow to a large mature field, which utilises an ensemble of distinct geological scenarios to improve the total misfit by up to 22%. Inadequacies in history matching of this field, which is interpreted as a simple prograding delta deposit, have led to the expansion of modelling efforts at a mature stage of field production. An ensemble of models, which represent distinctly different geological scenarios is used to account for a larger range of geological uncertainty within the history matching workflow. The effective selection and modelling of these concepts has significantly improved on the total field misfit and provided a more robust platform for optimisation analysis for ongoing development.

AB - This study presents the application of an assisted history matching workflow to a large mature field, which utilises an ensemble of distinct geological scenarios to improve the total misfit by up to 22%. Inadequacies in history matching of this field, which is interpreted as a simple prograding delta deposit, have led to the expansion of modelling efforts at a mature stage of field production. An ensemble of models, which represent distinctly different geological scenarios is used to account for a larger range of geological uncertainty within the history matching workflow. The effective selection and modelling of these concepts has significantly improved on the total field misfit and provided a more robust platform for optimisation analysis for ongoing development.

UR - http://www.scopus.com/inward/record.url?scp=85083937682&partnerID=8YFLogxK

M3 - Conference contribution

BT - 80th EAGE Conference and Exhibition 2018

PB - EAGE Publishing BV

Y2 - 11 June 2018 through 14 June 2018

ER -

Handling geological uncertainties across model ensembles: A large mature field example

Abstract

Conference

ASJC Scopus subject areas

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