This presentation explores how two different Exploration & Production (E&P) companies introduced automated data quality solutions to enhance drilling decisions and data management. Especially in the current economic climate, many drilling decisions are bets based on the best available data at the time. Multi-million dollar mistakes can be made if data used is incomplete, inaccurate, or inconsistent.

Our case study E&P companies realized that they are more than engineering operations ? they are in fact asset management companies, where data is one of their most valuable assets. Since their drilling performance is predicated on accurate data, it was vital to ensure that the data gathered from different sources and disciplines is of the very highest quality and integrity.

A fundamental first step taken by the case study E&P?s was to perform ?data quality profiling? to identify any and all possible data issues. This was followed by a disciplined approach to correct the defects by deploying automation, wherever possible. Learn how data quality solutions, along with a repeatable methodology, can help improve trust and confidence in the data as it pertains to drilling decisions.
 

Short Bio:

Paul Gregory has over twenty years experience in dealing with data quality and digital data issues in many sectors all over North America and the U.K. In the Oil & Gas sector, he has successfully led data quality initiatives for numerous Exploration and Producing companies. He is active in the standards community and was a former member of the Board of Directors for the Public Petroleum Data Model association (PPDM) and a member of the International Association for Information and Data Quality (IAIDQ).

Paul has spoken at numerous energy data conferences in North America and the U.K. He has published many white papers related to data quality in the energy sector.