86 citations · 270 across the 28 of their papers we have counts for
4 papers · 1 filter
Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation
Ivan Makhotin, Denis Orlov, Dmitry Koroteev +3
Well known oil recovery factor estimation techniques such as analogy, volumetric calculations, material balance, decline curve analysis, hydrodynamic simulations have certain limit…
Graph Neural Networks for Model Recommendation using Time Series Data
Aleksandr Pletnev, Rodrigo Rivera-Castro, Evgeny Burnaev
Time series prediction aims to predict future values to help stakeholders make proper strategic decisions. This problem is relevant in all industries and areas, ranging from financ…
Usage of multiple RTL features for Earthquake prediction
P. Proskura, A. Zaytsev, I. Braslavsky +2
We construct a classification model that predicts if an earthquake with the magnitude above a threshold will take place at a given location in a time range 30-180 days from a given…
Forecasting of commercial sales with large scale Gaussian Processes
Rodrigo Rivera, Evgeny Burnaev
This paper argues that there has not been enough discussion in the field of applications of Gaussian Process for the fast moving consumer goods industry. Yet, this technique can be…