What is bounded development in unconventionals? Troy Ruths, CEO of Petro.ai explains, “You’re putting a well in and you’re surrounded by depleted reservoir. Depleted reservoir is a problem because you can think of it as a sink for fracs where your pore pressure has dropped. That influences stress. Depletion can even change the orientation of the frac. You don’t want to create permeability in a place where you’ve already created permeability. You’re spending a lot of money to make that permeability and you’ve got to model and examine first.
The days of in-house software development for the complex analysis needed by O&G companies are numbered. Even for super majors. AI, artificial intelligence, is the new differentiator. The buying rather than building of AI software will transform right out of the box, the functionality of your siloed users creating a broader multi-disciplined approach, support your resource factory focusing your skills on your core-competencies, and move your data science team to discussions of visualization analysis rather than software creation.
Charles Connell, VP of Product, highlights recent updates to the Pad Scenario App and the Files App in Petro.ai
The Frac Hit App does indicate interwell hydraulic communication but really, it’s a well spacing app. Inside the Frac Hit Scenario, there are a focusing set of user controls defining the boundaries around your wells to identify offset and the frac geometry models you want to use to figure out that drainage. You can determine the SHmax points that are relevant to indicate the stress orientation. There’s a spectrum of user inputs that you set before the complex app calculations are run.
How does a complex platform like Petro.ai keep their Artificial Intelligence, or AI, evergreen? The concept of being lasting or evergreen is a statement about remaining integral to business processes. Businesses are always changing and the Petro.ai platform is geared to stay relevant to the O&G industry.
Shota Ota, DevOps Engineer at Petro.ai, talks through updates on the 2D Map in Petro.ai Earth