1 citations · 1 across the 3 of their papers we have counts for
3 papers
physics.geo-ph2024
Gas trap prediction from 3D seismic and well test data using machine learning
Dmitry Ivlev
The aim of this work is to create and apply a methodological approach for predicting gas traps from 3D seismic data and gas well testing. The paper formalizes the approach to creat…
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…