4.1 Article

History match of the Groningen field dynamic reservoir model to subsidence data and conventional subsurface data

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CAMBRIDGE UNIV PRESS
DOI: 10.1017/njg.2017.26

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experimental design; gas field; history matching; reservoir simulation; space filling; subsidence modelling

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This paper presents the method applied to history-match the Groningen field dynamic model to conventional data (pressure data and water influx data) and to subsidence data, which is a novelty. Modelled subsidence is matched to subsidence data based on a simplified geomechanical model, which was built into the dynamic simulator. A two-tier method was used to first achieve a match on a field-wide scale using field-average history-match quantifiers, which was then further improved at a regional/well level using regional history-match quantifiers. The history match was assisted by a space-filling experimental design. The resulting model has a field-average match to pressure data of +/- 2.17 bar with a measurement uncertainty of +/- 0.4 bar, to water influx data of +/- 2m with a measurement uncertainty of +/- 0.5m, and to subsidence data of +/- 4 cm with a measurement uncertainty of +/- 1 cm. The output from this model is used as input for compaction, subsidence and production forecasts feeding into the hazard and risk assessment completed by NAM for the Groningen Winningsplan 2016.

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