Can One Size Fit All? A Comprehensive Solution for Fault Modeling

Hoffman, Karen S.; Neave, John W.; Nilsen, Erik H.

doi:10.2523/iptc-12544-ms

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These methods allow a good control on the geometric quality of the grid but are very restrictive when it comes to common geological features like Y-faults. These methods also introduce non-neighbour connections (NNCs) between cells that can potentially affect simulation performance (see for example Hoffman et al (2008) or Gringarten et al (2008)). This variety of different approaches proves that handling such complex structures is a hard task, which can be particularly costly and burdensome for oil companies, occupying many expert resources for long periods and potentially delaying production.…”

Section: Introductionmentioning

confidence: 99%

From Smooth to Stair-Step - Gridding Geological Features and Their Properties, An Integrated Approach in the Simage-CIG Geoscience Platform.

Frambati¹,

Rodríguez-Martínez²

2017

Proceedings

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

From Smooth to Stair-Step - Gridding Geological Features and Their Properties, An Integrated Approach in the Simage-CIG Geoscience Platform.

Frambati¹,

Rodríguez-Martínez²

2017

Proceedings

View full text Add to dashboard Cite

An elastic grid approach for fault uncertainty modelling and updating using the Ensemble Kalman filter.

Seiler

Aanonsen

Evensen

et al. 2010

SPE EUROPEC/EAGE Annual Conference and Exhibition

View full text Add to dashboard Cite

Uncertainties in the location, geometry and flow properties of faults can have a significant impact on the reservoir volumes, well planning, and production predictions. However, the reservoir geometry is usually fixed to a single interpretation in history-matching workflows due to the complexity of automatic updating of the structural framework and the related simulation grid.In this paper, we propose a method to handle fault geometric uncertainties in the reservoir model and present an assisted history-matching workflow for updating the structural model with the Ensemble Kalman Filter (EnKF).An ensemble of reservoir models, expressing explicitly the uncertainty in the throw and position of faults, is created. To avoid rebuilding the grid at each update step, we propose an elastic grid approach, where the geometry of a base-case reservoir grid is deformed to reflect the alternative structural realizations. The fault throw and fault position are considered as parameters for assisted history matching and are updated by sequential assimilation of production data using the EnKF.The method is applied to synthetic examples and promising results are obtained. The result is an ensemble of history-matched structural models with reduced and quantified uncertainty in the fault position and throw. The elastic grid approach and the sequential processing of measurements in the EnKF provide a setting for fast and continuous model updating.

show abstract

Can One Size Fit All? A Comprehensive Solution for Fault Modeling

Cited by 2 publications

References 0 publications

From Smooth to Stair-Step - Gridding Geological Features and Their Properties, An Integrated Approach in the Simage-CIG Geoscience Platform.

From Smooth to Stair-Step - Gridding Geological Features and Their Properties, An Integrated Approach in the Simage-CIG Geoscience Platform.

An elastic grid approach for fault uncertainty modelling and updating using the Ensemble Kalman filter.

Contact Info

Product

Resources

About