Petrophysical evaluation of clastic formations in boreholes with incomplete well log dataset by using joint inversion technique and machine learning algorithms

Petrophysical evaluation of clastic formations in boreholes with incomplete well log dataset by using joint inversion technique and machine learning algorithms

A succesful petrophysical evaluation of shaly-sand formations requieres: 1) the availability of high quality well log data and, 2) a petrophysical model that successfully represents the geological conditions of the rocks. Unfortunately, it is not always possible to fulfill these conditions, and in m...

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Bibliographic Details
Main Authors: Felipe Santana-Román, Ambrosio Aquino López, Manuel Romero Salcedo (+), Raúl del Valle García, Oscar Campos Enriquez
Format: Article
Language:English
Published: Universidad Nacional Autónoma de México, Instituto de Geofísica 2025-07-01
Series:Geofísica Internacional
Subjects:
clastic formations
well logs, petrophysical joint inversion
machine learning
Online Access:https://revistagi.geofisica.unam.mx/index.php/RGI/article/view/1803
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