Skip the Data Wrangling and Start Deciding
What do you normally imagine when you think about assessing an oil field and creating a development plan?
The end result is usually quite clear. You need a set of artifacts like:
- Drilling plan
- Oil production forecast
- Estimated field lifetime
- Economic assumptions
- And, of course, a clear explanation of what these results are based on
But what kind of work actually goes into producing these estimates?
List of time-taking steps without guarantee, that each of them will be successful:
- Collecting and structuring historical data
- Searching for and scaling analogs (and hoping they truly match your reservoir)
- Running iterative calculations to generate possible outcomes and optimize them against target KPIs
All of this takes hundreds of hours of research and calculations.
At least, it used to.
With QuickField, you can skip most of the preparation and focus on what really matters — analysis and decision-making.
We’ve already aggregated hundreds of structured datasets from fields around the world, and built an ML engine that generates the key parameters needed to create development scenarios.
All you need is a minimal set of petrophysical data for your field — and you get a ready-to-analyze scenario.
Try it here: https://app.quickfield.ai/
And I’d genuinely love to hear your feedback.