
Oil and Gas Startups Podcast Novus Consulting
Apr 8, 2024
Join Kate Stevenson from Novus Consulting as she delves into data management in the energy sector, discussing tech implementations, data strategies, M&A activities, and the challenges faced in maintaining clean data. Discover her journey from Accenture to Chesapeake and Sandridge, highlighting the importance of operational data for business optimization and the potential of AI in streamlining tasks in the oil and gas industry.
AI Snips
Chapters
Transcript
Episode notes
Field Data Is The Foundation For AI
- Clean, organized field data is the foundation for any AI, reporting, or operational improvement in energy companies.
- Kate Stevenson draws on Accenture and Chesapeake experience to warn that without solid field data you cannot successfully deploy higher-order analytics or machine automation.
Building A Field App At Chesapeake Shaped Her Approach
- Kate started at Accenture then built a field data capture app at Chesapeake that is still in use today, which shaped her view of operations-first tech.
- She learned the business by doing ride-alongs, visiting field offices and building practical field solutions at Chesapeake.
Validate Entire Datasets During M&A Conversions
- Do run full-data conversion rules during M&A instead of sampling; use automated rules to validate entire datasets before loading.
- Novus uses prebuilt rules and a data pipe to QC incoming assets so destination systems receive data that passes validations.
