Data management and integration across siloed engineering sectors is fundamental to any advanced analytical workflow. All soft computing techniques implemented in a suite of processes or methodologies to address E&P value propositions are reliant on a sound data management platform. It is critical to transpose raw disparate data into actionable knowledge via integration and ggregation workflows.
The training is designed to introduce and educate data management personnel working in the O&G industry with the key principles of developing automated and semi-automated workflows that enable a robust data management platform. This course is ideal for IT and OT professionals interested in ensuring the integrity and value of the most important assets in O&G: Data.
The course shall help attendees to develop a conceptual data management platform applicable to the upstream spatial and time series data. The program will help attendees understand the different tiers of a practical data management platform that can transform raw data into actionable knowledge. We shall discuss each tier in a Data Management architecture separately:
- Information Platform
- Knowledge Platform
- Collaboration and Analytical Platform
- Performance Platform