Oil and Gas Data Methodology
These articles explain how EnergyNetWatch thinks about source handling, data normalization, analytics, and the limits of public oil and gas data.
Why Oil and Gas Data Is Hard to Normalize Across States (2026)
See why oil and gas data normalization is difficult across states, source schemas, identifiers, reporting cadence, permits, and production.
Read articleMethodology notes on source normalization, decline curve analysis, rig tracking, and public oil and gas data caveats.
- Why is oil and gas data hard to normalize?
- How should public samples be interpreted?
- What source caveats matter before running analysis?
All methodology articles
Decline Curve Analysis Explained: How to Estimate EUR for Any Oil & Gas Well
Learn the foundations of Decline Curve Analysis (DCA). We break down Arps exponential, hyperbolic, and harmonic curves, and show how to calculate Estimated Ultimate Recovery (EUR).
Tracking Active Drilling Rigs Without Expensive GPS Feeds
Baker Hughes tells you how many rigs are in the Permian. It doesn't tell you where. By combining public drilling permits with state-reported spud dates, EnergyNetWatch infers active rig locations at a fraction of the cost of $75,000/yr GPS telemetry feeds.
Texas Oil and Gas Production Data: RRC Records and Public Samples (2026)
Understand Texas oil and gas production data, RRC reporting limits, public sample trends, and when normalized app workflows help.
How to Track Drilling Permits by Operator Before Production Shows Up (2026)
Learn how to track drilling permits by operator, connect permits to later production signals, and avoid common state-source mistakes.