A demonstration of MAPEM methodology and framework for managing a Petrel – Studio environment. By using RoQC Tools in combination with Power BI one can quickly get a detailed overview of the Petrel – Studio environment.

We will look at Data Mining from a Data Quality Perspective, Analyse the Results, Specify Critical Projects, Critical Data Objects and apply fit for purpose workflows to increase Data Quality and Control. Finishing off with the importance of Data Quality Monitoring.

This real life case is taken from a mid-sized energy company with thousands of projects.

*Power BI is the mark of Microsoft
*Petrel and Studio are the mark of Schlumberger