Exploration and Production Optimization

Data integration, risk assessment and quantification of uncertainty are key issues in petroleum exploration and development. With SAS, you can:

• Improve the quality of data you rely on for critical decisions by integrating relevant data from multiple monitoring and surveillance systems across all GGRE disciplines into a unified view and automating all critical preprocessing tasks.
• Increase the reliability of reserves information using advanced modeling to generate reservoir models that truly reflect the spatial relationships between geological elements and their petrophysical properties – whether anisotropic or isotropic in nature.
• Optimize shale gas exploration before deploying assets or selecting fracing techniques.
• Predict unplanned events so you can take steps to mitigate their impact by using predictive analytics based on workflow rules that you define.
• More accurately determine reservoir properties, such as porosity and permeability, using spatial analytics that incorporate variograms, kriging and simulation.
• Increase decision support across disparate upstream disciplines by using data mining to create accurate predictive and descriptive models based on enterprise data collected from geology, geophysics, petrology and reservoir engineering.
• Present probabilistic results in a dashboard environment using flexible reporting capabilities that let you quantify uncertainty, provision fundamental and imperative flow simulation input, and mitigate potential risk.
  

Successfully overcoming the challenges associated with oil and gas reservoir optimization depends on your ability to integrate GGRE data, quantitatively describe heterogeneity and comprehend the range of uncertainty. SAS provides you with those abilities through:

• Powerful data integration. SAS provides an unmatched ability to collect and transform multiple, siloed data sources into a unified body of knowledge.
• Collaborative business intelligence. SAS delivers crucial technology that enables key team members to view and understand important analysis about well placement, stimulation strategies and well performance.
• Predictive and spatial analytics. Award-winning, proven and reliable, SAS Analytics provide the foundation for improved decision making across GGRE silos.
• Flexibility and scalability. SAS can grow and change along with you, adding new functionality as needs arise, so your potential for continual improvement never ends.