What kinds of well logs does Petro.ai use as inputs? “The answer is that actually we can take in any logs,” Dr. Brendon Hall, VP of Geoscience explains, “It’s a popular data type that contains all kinds of information. The Petro.ai system is architected so we can add in new data types as they become available.
We have a type curve analysis tool with sensitivity inputs that we use internally in our company. How does Petro.ai fit in with what we’ve already developed?
There is so much ahead. Wells to be drilled. Pads to be completed. New things to learn. A subsurface to discover. We believe in the promise of AI, data analytics
Small data doesn’t get the same hype as big data. But small data is important for oil and gas companies. Small or incomplete. There’s a way around that deficit with AI. Enter transfer learning.
Does Petro.ai have a data driven software that can help predict well performance using time series predictions within the geological parameters of spacing and lateral completions and production for unconventionals? Does this software allow for running sensitivity analysis on 3D spacing lateral and interval values?
Kyle LaMotta, VP of Analytics explains, “The analysis below depicts the Drainage Model also called the Frac Fingerprint or the Frac Model. This is what we’re predicting for each well. The gun barrel view on the right represents the predicted percentage of rock stimulated around each well. That has a direct correlation to the drainage based on the dimensions of this stimulation.