Hi all — David Heikkinen, WhiteHawk Energy

Glad to be here. I'm the Chief Data Officer at WhiteHawk Energy, an oil & gas operator, and I spend most of my time on a problem this community knows well: our operational knowledge and data are scattered across disconnected systems — and a lot of the real logic still lives in people's heads rather than in anything we own or can scale.

Right now I'm working on two fronts. First, unifying our subsurface, land, and engineering data so it's actually queryable in one place instead of stitched together by hand. The Oil & Gas Data Model pack (CFIHOS / ISO 14224, pulling AVEVA, SAP, OPC UA, and PI together) is exactly the kind of foundation I'm trying to understand better. Second, building documented, tool-agnostic playbooks so AI workflows we stand up — title file summarization, defect notices, reliability analysis — are repeatable assets, not one-off experiments.

I'm here to learn from operators who've already deployed CDF in an E&P context: what the data-foundation packs got right, where the hard parts actually were, and how you handled contextualization and entity matching at scale. Happy to share what we learn along the way.

Looking forward to connecting — feel free to reach out on LinkedIn: https://www.linkedin.com/in/davidheikkinen/