most citedReservoir Prediction by Machine Learning Methods on The Well Data and Seismic Attributes for Complex Coastal Conditions

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

physics.geo-ph2023

Generalization with Reverse-Calibration of Well and Seismic Data Using Machine Learning Methods for Complex Reservoirs Predicting During Early-Stage Geological Exploration Oil Field

Dmitry Ivlev

The aim of this study is to develop and apply an autonomous approach for predicting the probability of hydrocarbon reservoirs spreading in the studied area. The methodology uses ma…

physics.geo-ph2023★ 1 cited

Reservoir Prediction by Machine Learning Methods on The Well Data and Seismic Attributes for Complex Coastal Conditions

Dmitry Ivlev

The aim of this work was to predict the probability of the spread of rock formations with hydrocarbon-collecting properties in the studied coastal area using a stack of machine lea…

physics.geo-ph2022

Subsurface Depths Structure Maps Reconstruction with Generative Adversarial Networks

Dmitry Ivlev

This paper described a method for reconstruction of detailed-resolution depth structure maps, usually obtained after the 3D seismic surveys, using the data from 2D seismic depth ma…