All content in this website is sourced legitimately
Big Data and the E&P industries-I: Not easy to handle
Jan 25:
What are the problems with adopting Big data to E&P?
8Upstream focused applications are at a functional level. So, substantial time is spent in data collection and running reports for a given asset level i.e. for a single well or aggregate wells
in a given location
8A major number of applications are still non PPDM (Professional Petroleum Data Management Association) based, which makes the reports and KPIs non-accurate atmost times
8It is difficult to drive insights from unstructured data lying in multiple applications
8It is not easy to run predictive analytics as data is spread out in multiple systems with lesser integrity and reference to master-level data.
Click on Reports for more
**********************************
8Upstream focused applications are at a functional level. So, substantial time is spent in data collection and running reports for a given asset level i.e. for a single well or aggregate wells
in a given location
8A major number of applications are still non PPDM (Professional Petroleum Data Management Association) based, which makes the reports and KPIs non-accurate atmost times
8It is difficult to drive insights from unstructured data lying in multiple applications
8It is not easy to run predictive analytics as data is spread out in multiple systems with lesser integrity and reference to master-level data.
Click on Reports for more
