FAST RESISTIVITY LOGS SIMULATION IN TWO-DIMENSIONAL ANISOTROPIC NEAR-WELLBORE SPACE MODELS BASED ON NUMERICAL SIMULATION AND MACHINE LEARNING

Autor:	Kirill N. Danilovskiy, Vasiliy V. Eremenko, Aleksei M. Petrov
Rok vydání:	2021
Předmět:	Wellbore Physics Computer simulation Electrical resistivity and conductivity Mechanics Space (mathematics) Anisotropy
Zdroj:	Interexpo GEO-Siberia. 2:210-217
ISSN:	2618-981X
DOI:	10.33764/2618-981x-2021-2-2-210-217
Popis:	The article presents the results of a new approach application for oil well galvanic and induction resistivity logs simulation to enhance the efficiency of geological environment parameters evaluation and to speed up the interpretation. The use of modern machine learning technologies allows us to create algorithms for resistivity logs simulation in high-detailed two-dimensional anisotropic geoelectric models. The developed algorithms are characterized by a qualitatively new level of performance compared to the approaches used today.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6c4c29985719f39fcd9b5aa5c5562ed2 https://doi.org/10.33764/2618-981x-2021-2-2-210-217 Zobrazit plný text záznamu