Prediction of areas of good reservoir deliverability has been achieved by the integration of production data, petrophysical analysis, palaeocurrent analyses, core data and 3D seismic data. The key data in this comparative analysis are derived from a petrophysical workflow, which is calibrated to surveillance data and dynamic well test data. These data include porosity, porosity-thickness (PhiH), permeability, and permeability-thickness (KH).

The results of this initial integration are compared with extractions from numerous seismically-generated attribute maps at each well location and used to define preferred seismic PhiH and KH maps. These can be utilised for well planning and further integrated with geocelluar reservoir models.

Additional geological interpretation confirms that trends within the Barik depositional system can be recognised on seismic, defining areas which have the potential to have similar thickness, depositional facies and most likely, similar potential production within them.

This has led to optimisation of the drilling schedule, allowing rescheduling of wells from areas that are now understood to be potentially poor to areas having higher potential, thus increasing efficiency.

Additionally, this work indicates that wells having low production on test conform to areas where low production is predicted, but some wells in the predicted areas of moderate to high production show higher prediction errors than other wells within the same area. This methodology clarifies where differences between predicted and actual measurements occur, allowing the second phase of integration aimed at improving predictions and mitigating risks.

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