About this paper
Data integration, risk assessment and quantification of uncertainty are key issues in petroleum exploration and development. Oil companies are being forced to explore in more geologically complex and remote areas to exploit deeper hydrocarbon deposits. As the problems become too complex in areas of intrinsically poor data quality, and the cost associated with poor predictions (dry holes) increases, the need for proper integration of disciplines, data fusion, risk reduction and uncertainty management become very important. SAS Analytics provide potential answers to questions related to risk and uncertainty, as well as endorse reserves information and ensure that exploitation plans are adhered to in accordance to predefined targets. With SAS Analytics, you can use a plethora of upstream data to empower effective, efficient and timely decisions that affect reserves exploitation.