Abstract
The field is located in the Persian Gulf and has been producing for the last 30 years with a strong natural aquifer support. The clastic reservoir exhibits highly heterogeneous permeability combined with shale streaks and therefore presents complex flow behavior.
This paper describes the iterative seismic to simulation workflow followed to create a fine scale reservoir static and dynamic simulation model consistent with all available engineering, geologic and geophysical data. The process involved integration of static and dynamic modelling workflows. History matching the production data indicates locations with incorrect information in the static model, which can be corrected and re-exported for the dynamic model in very short time. The integration of static and dynamic modelling is seen as essential for the further commercial development of the field.
A comprehensive integrated study was conducted starting from petrophysical log evaluation and resulting in fine scale reservoir models on a geo-cellular grid. To reduce the uncertainty, a model was created using a geostatistical inversion technique which honoured both geologic and seismic information. The use of high resolution geostatistical inversion provided good and reliable estimates of porosity and lithology away from the wells. The porosity and lithology models were further tested on history matching 92 producing wells for 30 years. The quick match resulted in less uncertainty of porosity and higher confidence in the prediction models.
The history matched model is predicted further to define different potential development scenarios. It is now 3 years since all the data used in the study was acquired and the current field production matches with the model prediction. The models created using geostatistical inversion proved to be robust and predictive for the field development.