2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2019
Prediction of Porosity and Permeability Alteration based on Machine Learning Algorithms
Andrei Erofeev, Denis Orlov, Alexey Ryzhov +1
The objective of this work is to study the applicability of various Machine Learning algorithms for prediction of some rock properties which geoscientists usually define due to spe…
stat.ML2019★ 2 cited
Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing
Ivan Makhotin, Dmitry Koroteev, Evgeny Burnaev
In this paper, we present a data-driven model for forecasting the production increase after hydraulic fracturing (HF). We use data from fracturing jobs performed at one of the Sibe…