Artificial intelligence, data mining techniques and statistical methods are widely used in reservoir modelling, for instance in prediction of sedimentary facies. The aim of this work was to define and implement a suite of tools for in- terpretation of image logs and large datasets of subsurface data coming from geological exploration.

I2AM: a Semi-Automatic System for Data Interpretation in Petroleum Geology

FERRARETTI, Denis;GAMBERONI, Giacomo;LAMMA, Evelina
2012

Abstract

Artificial intelligence, data mining techniques and statistical methods are widely used in reservoir modelling, for instance in prediction of sedimentary facies. The aim of this work was to define and implement a suite of tools for in- terpretation of image logs and large datasets of subsurface data coming from geological exploration.
2012
artificial intelligence; petroleum geology; machine vision
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1673879
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