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Faculté des Sciences appliquées
Faculté des Sciences appliquées
MASTER THESIS
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Master thesis : Rock lithology recognition

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Mazur, Thomas ULiège
Promotor(s) : Geurts, Pierre ULiège
Date of defense : 5-Sep-2022/6-Sep-2022 • Permalink : http://hdl.handle.net/2268.2/15902
Details
Title : Master thesis : Rock lithology recognition
Author : Mazur, Thomas ULiège
Date of defense  : 5-Sep-2022/6-Sep-2022
Advisor(s) : Geurts, Pierre ULiège
Committee's member(s) : Van Droogenbroeck, Marc ULiège
Marée, Raphaël ULiège
Germay, Christophe 
Language : English
Discipline(s) : Engineering, computing & technology > Computer science
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master : ingénieur civil en science des données, à finalité spécialisée
Faculty: Master thesis of the Faculté des Sciences appliquées

Abstract

[en] In oil and gas, The most important properties that are studied are the porosity and the permeability. Those are necessary properties of the soil to make holding fossil fuel possible. The size of the particles that may contain the oil and gas is essential indicator of those two properties. The challenges for a century has been to develop methods to measure the particles as cheaply and accurately as possible. EPSLOG is a society that develops equipment for oil and gas and mining industries. As such, they also develop software to process the data. \\

In this work we will explore the optical granulometry method, which measures the grain size based on pictures of the surface of the rocks. More specifically, we will use computer vision technique and deep learning. For this, will compare different backbones in order to extract valuable information from the pictures.


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Access Master_thesis_Report.pdf
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Author

  • Mazur, Thomas ULiège Université de Liège > Master ingé. civ. sc. don. à . fin.

Promotor(s)

Committee's member(s)

  • Van Droogenbroeck, Marc ULiège Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
    ORBi View his publications on ORBi
  • Marée, Raphaël ULiège Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Méthodes stochastiques
    ORBi View his publications on ORBi
  • Germay, Christophe
  • Total number of views 19
  • Total number of downloads 2










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