Assessing Weighting Coefficients in Seismic History Matching of the Norne Field

Assessing Weighting Coefficients in Seismic History Matching of the Norne Field

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4D seismic data has become an important tool for oil and gas field operators. Reservoir characterization, evaluation and monitoring are all improved by including seismic data in the history matching routine. History matching is a process for improving the model by changing its parameters until it reproduces the observed data. Regular history matching tries to get the model to reproduce the fluid production in a quite simple mass balance situation. With the integration of seismic data, the actual fluid flow can be reproduced, making the history match better and the reservoir model more reliable. The Norne field is a Statoil-operated oil and gas field, located in the Norwegian Sea. Available simulation model and other engineering data makes it possible to do a history matching study on the field. Semi-automatic seismic history matching was performed with SimOpt, and the combination of weighting coefficients was altered to find the best combination. The auto-balanced case outperformed the other combinations, and decreased the total RMS value 0.5%.
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4D seismic data has become an important tool for oil and gas field operators. Reservoir characterization, evaluation and monitoring are all improved by including seismic data in the history matching routine.

 History matching is a process for improving the model by changing its parameters until it reproduces the observed data. Regular history matching tries to get the model to reproduce the fluid production in a quite simple mass balance situation. With the integration of seismic data, the actual fluid flow can be reproduced, making the history match better and the reservoir model more reliable.

 The Norne field is a Statoil-operated oil and gas field, located in the Norwegian Sea. Available simulation model and other engineering data makes it possible to do a history matching study on the field. Semi-automatic seismic history matching was performed with SimOpt, and the combination of weighting coefficients was altered to find the best combination.

 The auto-balanced case outperformed the other combinations, and decreased the total RMS value 0.5%.

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