Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation

no code implementations • 7 Oct 2020 • Ivan Makhotin, Denis Orlov, Dmitry Koroteev, Evgeny Burnaev, Aram Karapetyan, Dmitry Antonenko

In this work, we present a data-driven technique for oil recovery factor estimation using reservoir parameters and representative statistics.

BIG-bench Machine Learning Prediction Intervals

Prediction of Porosity and Permeability Alteration based on Machine Learning Algorithms

no code implementations • 18 Feb 2019 • Andrei Erofeev, Denis Orlov, Alexey Ryzhov, Dmitry Koroteev

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 special lab analysis.

BIG-bench Machine Learning

Reconstruction of 3D Porous Media From 2D Slices

no code implementations • 29 Jan 2019 • Denis Volkhonskiy, Ekaterina Muravleva, Oleg Sudakov, Denis Orlov, Boris Belozerov, Evgeny Burnaev, Dmitry Koroteev

In many branches of earth sciences, the problem of rock study on the micro-level arises.