Data Sufficiency for Reservoir Development Decision-Making in the Presence of Uncertainty

Uncertainty stemming from the sparse information available to model a reservoir and from the lack of complete knowledge about the flow processes in the reservoir is an inescapable aspect of reservoir modelling. Methodologies for assessing and incorporating that uncertainty in exploration and development decisions are crucial for successful management of assets. This paper presents a reservoir modelling case study demonstrating typical steps in the exploration of a reservoir and aspects of uncertainty assessment using geostatistical techniques. The viability of using simple, easy-to-use connectivity measures for assessing the productivity of candidate well locations prior to actually drilling the well is explored. A Bayesian method for incorporating seismic data in reservoir models is presented.