First: Calculate SHmin with ISIPs in the Pump Curve Pressure Model App
Next: Determine Treating Pressure with SHmin in the Treating Pressure Prediction App
Develop a stress model using ISIPs in the Pump Curve Pressure Model App. Then take that SHmin into the Treating Pressure Prediction App to determine the treating pressure needed for a well. SHmin is the critical input in this new app predicting the treating pressure needed to break that rock.
It’s a complex calculation to tease apart and Dr. Nitin Chaudhary, Senior Data Scientist at Petro.ai, knows that engineers need to be able to play with variables that will alter the cost or time of the job and still create that treating pressure. If that pressure can be known and achieved, it will result in the same well performance at a lower cost.
“The TPP App created by Dr. Chaudhary, is a core component of determining your treating pressure,” Dr. Troy Ruths, CEO of Petro.ai points out,
“If you can predict your treating pressure, you can better design your frac stages
and better interpret with a created null model to use for comparison. The rock will not give up until you overcome SHmin plus all the other parameters that Chaudhary is calculating in the Treatment Pressure App then you’re making a fracture that you want.
“In Petro.ai, we have an evergreen 3D geomechanics model. You can use this across an entire pad and get vertical stress profiles throughout your acreage. When we use the Treatment Pressure App, we’re actually interpolating that stress for you to create a whole 3D SHmin and the applicable treating pressure predictions.”
Charles Connell, VP of Product explains further, “The treating pressure in this app is made up of different components. We’re plotting the solid line which is the actual treating pressure. This is the rate, the pressure and the proppant concentration that was used on the job. The treating pressure is further broken down into different components: stress is one of those components but there are other things like hydrostatic pressure, like friction between the fluid and the pipe, or the pressure differential of the fluid going through the perforations. Chaudhary has taken each of these variables and using calculations come up with a predicted treating pressure which is the red dashed line.
“The inputs on the left are populated based on an actual well. I can select a well I’ve already pumped and change the inputs to make the predicted value match the actual value. As I modify the parameters, I try to get closer to the actual treating pressure value. Once adjusted, you have a sense for how accurate the model is and can use the adjusted parameters to design a new stage. Achieving a certain pressure, that will correlate to a certain frac, which will further correlate to a desired well performance.”