Integrated modeling of a complex oil rim development scenario under subsurface uncertainty

Abstract Evaluation of the economic benefit of field development projects in the oil and gas industry is naturally subject to subsurface uncertainties and risks. While high economic returns from produced volumes compensated for the lack of robust uncertainty estimates in the past, lower margins in t...

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Main Authors: Mansour Elharith, Ho Yeek Huey, Raj Deo Tewari, Lisa Claire, Nurul Suhaila M. Fawzi, Ralf Schulze-Riegert
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Online Access:http://link.springer.com/article/10.1007/s13202-019-0639-4
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spelling doaj-68e7f25a19fd43f98caaf4d39d456a9a2020-11-25T02:35:17ZengSpringerOpenJournal of Petroleum Exploration and Production Technology2190-05582190-05662019-03-01942417242810.1007/s13202-019-0639-4Integrated modeling of a complex oil rim development scenario under subsurface uncertaintyMansour Elharith0Ho Yeek Huey1Raj Deo Tewari2Lisa Claire3Nurul Suhaila M. Fawzi4Ralf Schulze-Riegert5PetronasPetronasPetronasPetronasSchlumbergerSchlumberger Norwegian Technology CenterAbstract Evaluation of the economic benefit of field development projects in the oil and gas industry is naturally subject to subsurface uncertainties and risks. While high economic returns from produced volumes compensated for the lack of robust uncertainty estimates in the past, lower margins in tight market conditions and more complex project designs require increased efforts in delivering reliable uncertainty estimates for improving reservoir management decision support in times to come. An increasing number of field development projects include rigorous uncertainty quantification workflows based on parameterized subsurface uncertainties. Estimation and reduction of prediction uncertainty has no value unless it can potentially influence a decision process. This requires an integrated workflow design across disciplines and a proper risk mitigation plan. This work presents the implementation of an uncertainty workflow in reservoir management with a focus on reservoir modeling and simulation. Practical workflow design steps and intermediate milestones are discussed for generating alternative reservoir model realizations including historical production data. Calibrated model realizations define the basis for prediction estimates of a predefined field development plan. Practical steps are discussed with application to a complex oil rim development for an existing reservoir with long production history. This study aimed at an uncertainty assessment of a field development plan and a proposal for optimized relocations of infill wells considering multiple geological realizations. In conclusion, this work describes examples, experiences, and recommendations for an industry implementation for a risk assessment of a field development plan under subsurface uncertainties.http://link.springer.com/article/10.1007/s13202-019-0639-4Uncertainty quantificationHistory matchingEstimation prediction uncertaintyIntegrated modelingField development planning under uncertaintyReservoir management
collection DOAJ
language English
format Article
sources DOAJ
author Mansour Elharith
Ho Yeek Huey
Raj Deo Tewari
Lisa Claire
Nurul Suhaila M. Fawzi
Ralf Schulze-Riegert
spellingShingle Mansour Elharith
Ho Yeek Huey
Raj Deo Tewari
Lisa Claire
Nurul Suhaila M. Fawzi
Ralf Schulze-Riegert
Integrated modeling of a complex oil rim development scenario under subsurface uncertainty
Journal of Petroleum Exploration and Production Technology
Uncertainty quantification
History matching
Estimation prediction uncertainty
Integrated modeling
Field development planning under uncertainty
Reservoir management
author_facet Mansour Elharith
Ho Yeek Huey
Raj Deo Tewari
Lisa Claire
Nurul Suhaila M. Fawzi
Ralf Schulze-Riegert
author_sort Mansour Elharith
title Integrated modeling of a complex oil rim development scenario under subsurface uncertainty
title_short Integrated modeling of a complex oil rim development scenario under subsurface uncertainty
title_full Integrated modeling of a complex oil rim development scenario under subsurface uncertainty
title_fullStr Integrated modeling of a complex oil rim development scenario under subsurface uncertainty
title_full_unstemmed Integrated modeling of a complex oil rim development scenario under subsurface uncertainty
title_sort integrated modeling of a complex oil rim development scenario under subsurface uncertainty
publisher SpringerOpen
series Journal of Petroleum Exploration and Production Technology
issn 2190-0558
2190-0566
publishDate 2019-03-01
description Abstract Evaluation of the economic benefit of field development projects in the oil and gas industry is naturally subject to subsurface uncertainties and risks. While high economic returns from produced volumes compensated for the lack of robust uncertainty estimates in the past, lower margins in tight market conditions and more complex project designs require increased efforts in delivering reliable uncertainty estimates for improving reservoir management decision support in times to come. An increasing number of field development projects include rigorous uncertainty quantification workflows based on parameterized subsurface uncertainties. Estimation and reduction of prediction uncertainty has no value unless it can potentially influence a decision process. This requires an integrated workflow design across disciplines and a proper risk mitigation plan. This work presents the implementation of an uncertainty workflow in reservoir management with a focus on reservoir modeling and simulation. Practical workflow design steps and intermediate milestones are discussed for generating alternative reservoir model realizations including historical production data. Calibrated model realizations define the basis for prediction estimates of a predefined field development plan. Practical steps are discussed with application to a complex oil rim development for an existing reservoir with long production history. This study aimed at an uncertainty assessment of a field development plan and a proposal for optimized relocations of infill wells considering multiple geological realizations. In conclusion, this work describes examples, experiences, and recommendations for an industry implementation for a risk assessment of a field development plan under subsurface uncertainties.
topic Uncertainty quantification
History matching
Estimation prediction uncertainty
Integrated modeling
Field development planning under uncertainty
Reservoir management
url http://link.springer.com/article/10.1007/s13202-019-0639-4
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