130 citations · 152 across the 7 of their papers we have counts for
7 papers
Core Box Image Recognition and its Improvement with a New Augmentation Technique
E. E. Baraboshkin, A. E. Demidov, D. M. Orlov +1
Most methods for automated full-bore rock core image analysis (description, colour, properties distribution, etc.) are based on separate core column analyses. The core is usually i…
On a workflow for efficient computation of the permeability of tight sandstones
Vladislav Pimanov, Vladislav Lukoshkin, Pavel Toktaliev +7
The paper presents a workflow for fast pore-scale simulation of single-phase flow in tight reservoirs typically characterized by low, multiscale porosity. Multiscale porosity impli…
End-to-end neural network approach to 3D reservoir simulation and adaptation
E. Illarionov, P. Temirchev, D. Voloskov +5
Reservoir simulation and adaptation (also known as history matching) are typically considered as separate problems. While a set of models are aimed at the solution of the forward s…
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…
Deep Convolutions for In-Depth Automated Rock Typing
E. E. Baraboshkin, L. S. Ismailova, D. M. Orlov +5
The description of rocks is one of the most time-consuming tasks in the everyday work of a geologist, especially when very accurate description is required. We here present a metho…
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…
Reconstruction of 3D Porous Media From 2D Slices
Denis Volkhonskiy, Ekaterina Muravleva, Oleg Sudakov +4
In many branches of earth sciences, the problem of rock study on the micro-level arises. However, a significant number of representative samples is not always feasible. Thus the pr…