Intelligence for Shale

Generating scenarios for well placement and completion options allows decisions about the well to made from a variety of potential designs, adding to the speed of decision and reducing the uncertainty in these uncertain times. Kyle LaMotta, VP of Analytics, explains, “Traditionally a company would never work up large numbers of scenarios because it takes so long to generate those results. They just don’t have a way to capture that variance. At Petro.ai, we can capture that variance with the drainage because every time we change the well spacing or the well placement, it’s going to affect the drainage which ultimately affects the production.”

Not Competitive: In traditional O&G companies, complex problems are divided up and solved by different teams. The decision being handed along some chain of experts that create a final solution. But for shale, the solution is an interrelated complexity that needs to be passed back and forth, debated and understood, engineers and finance, field and management, back and forth. That’s what AI is for. Complex, connected decisions that need a best fit and iterative tradeoffs. Competitive: Re-architect your business to an AI factory. You need one software hub, not layers of software tools that slow down your internal process. One unifying platform with all the data inputs, technology and algorithms in one collaborative place. Petro.ai.

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.