Fusion combines industry experts with advanced technologies and processes to provide seamless data ingestion with unmatched data quality transparency for driving continuous improvement across your operations.
Increase data quality transparency
Drive continuous improvement across operations
Reduce time resolving data quality issues
Seamless data ingestion drives efficiencies from the beginning
Understand data quality levels during real-time decision making
Build high quality data foundation for future development and digital advancement
Fusion's proprietary data ingestion platform seamlessly paired with our 24/7 Fusion Ops Team work together to rapidly monitor and resolve issues related to incoming data for continuous improvement across your operations. This is where Infinite Data Quality starts!
Fusion integrates with other well information management systems including WellView, Open Wells, and WellEZ.
Fusion streams equipment and operations data including surveys, mud reports, DDRs, PJRs, and DCRs directly from the wellsite via email or API connection.
Fusion connects with any WITSML provider, or other hardware devices can be deployed at the wellsite to make physical connections.
Current Health Score and aggregated metrics for the entire well
The Metrics View includes 3 traces:
The gap between displays the Fusion Difference!
Issue Metrics Bar Chart Panel
As part of Fusion, Corva has developed the industry's first data quality scoring system to increase visibility of data quality across various ingested sources, and throughout the lifecycle of a well.
Guided by 50+ energy experts, our Data Quality Operations team monitors and resolves data quality issues 24/7, 365.
Schedule a time with your CSM to learn about Fusion! Ready to start exploring today? Login now and head to WellHub to access your Data Quality Page.
Fusion combines industry experts with advanced technologies and processes to provide seamless data ingestion with unmatched data quality transparency for driving continuous improvement across your operations.