2 papers
cs.LG2021
Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem
Viktor Duplyakov, Anton Morozov, Dmitriy Popkov +5
We describe a stacked model for predicting the cumulative fluid production for an oil well with a multistage-fracture completion based on a combination of Ridge Regression and CatB…
eess.SY2019
Data-driven model for hydraulic fracturing design optimization: focus on building digital database and production forecast
A. D. Morozov, D. O. Popkov, V. M. Duplyakov +6
Growing amount of hydraulic fracturing (HF) jobs in the recent two decades resulted in a significant amount of measured data available for development of predictive models via mach…