And that evidence, much of the time, turns on a fingerprint. * CSI is the flashy, gritty most-watched drama in the world that finds the evidence to bring the truth in each episode. That’s an important point because a lot of people run these frac simulators and don’t have a hard way of incorporating that input back into a useful, practical workflow that comes up with a performance prediction.”
#Fracked csi simulator
So, if someone is running a frac simulator we can build those results into our Frac Fingerprint technology. “ With the Petro.ai platform Designer Pad, we can also incorporate all the inputs of a frac simulator. Most frac simulators work slowly and require a lot of inputs so that it’s hard to collect all the data that you need to run them. “ It lets you get these Frac Fingerprints in a very quick and efficient manner to evaluate a lot of scenarios, to look at what-if cases. The Petro.ai Frac Fingerprint is more of a data driven approach where we’re honoring the geomechanics of the rock. They’re more of a physics approach where you’re trying to simulate the exact properties of the rock.
“There are frac simulators that do similar things. But the drainage is not going to overlap, it’s going to go to one well or the other.” You’re getting a double stimulation from two wells that are right next to each other if those frac fingerprints are overlapping. So, we have to draw a boundary between the wells for the drainage. But the drainage between them is going to be shared. They’re going to have independent frac fingerprints. “Let’s say you have two wells right next to each other. Right next to the well, if you’re thinking about it in gun barrel space, if you look at the wellbore for a given stage, you’re 100% sure that right around that wellbore it was stimulated but as you get further away that probability decreases. We’re not defining boundaries on how far you’ve stimulated but giving you a probability and a distance. Kyle LaMotta, VP of Analytics adds, “Right. The shape of the hydraulic fracture is determined in large part by the stress profile, but the way we’ve come up with these fingerprints is linking that stress profile with observations of the rock that’s been stimulated.” Given a stress profile input, the Frac Fingerprint tells you the probability that an area was stimulated when a well is fracked. Mark Zoback, our science advisor from Stanford University. Brendon Hall, VP of Geoscience at Petro.ai describes, “is the Frac Fingerprinting technology which was designed in collaboration with Dr. “One of the differentiating technologies that Petro.ai has when it’s building an AI model to predict the productivity of a pad or a pad design,” Dr. And much like the procedural advances in CSI (2000) to the new CSI: Vegas (2021) *, frac scene investigation has changed from a type-curve driven analysis to a geomechanically derived assessment that has led Petro.ai to produce their newest proprietary tool, Frac Fingerprint. The way we understood fracking years ago is significantly different from the way we understand fracking today. Petro.ai: We have the tools and the team to make your FSI, Frac Scene Investigation, give up the truth. The Frac Fingerprint can also use frac simulator inputs for well performance prediction. Based on the stress profile, offset wells, and trained on diagnostic data, the Frac Fingerprint is a calculated area indicating probabilistic stimulation gradients around the well. Evidence, like a Frac Fingerprint, doesn’t lie. Frac Fingerprint: The whole purpose of Petro.ai is finding the truth in unconventionals.
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