Official Petro.ai Blog

With Petro.ai you’re at the controls, inputting your data and dialing in the drainage, the rock that’s available to be drained by a well or group of wells. Petro.ai builds a surrogate model that can be conditioned based on observational or algorithmic calculations to estimate drainage. Let’s look at those dials one by one: Minimum horizonal stress, reservoir properties like porosity and permeability, the earth model, microseismic, simulator information and actual production numbers.

The Petro.ai internal asset operations center works side by side with your asset team. Meet our newest technical experts joining this critical group that provides the needed monitoring and analysis of the many data-driven algorithms that define each point in your well’s lifecycle. Welcome to Asal Rahimi Zeynal, Subsurface Business Analyst/Reservoir Engineer, and Priya Vamsi, Junior Data Science Developer.

Sometimes we have trouble figuring out who the bad guy really is. Much of the time, it’s too complex to point fingers and lay blame. Information, histories, perspectives become what’s needed to further a cause or change minds to move in a specific direction. Then, how do we forget what we’ve learned and embrace a different, maybe a radically alternative truth?

Limited Entry: “Take what you can measure, then inside the tool suite of Petro.ai, model and calculate all the unknowns so that you can get an accurate estimate of the pressure that’s being experienced by the rock,” Dr. Brendon Hall, VP of Geoscience assures us.

3D Earth Modeling: A geomechanical model of the subsurface that represents the state of stress in the earth. Bringing your simulator input into this AI built surrogate model creates high levels of dependable accuracy in determining fracture propagation.