PERMEABILITY ESTIMATION OF DIGITAL ROCK IMAGES USING CONVOLUTIONAL NEURAL NETWORK MACHINE LEARNING
Permeability is an important quantity because it can figure out the ease of a rock to pass fluid without damaging the rock. Permeability can be measured in several ways. In this study, instead of making an equation or doing a simulation to calculate the value of permeability, the author uses machine...
Saved in:
Main Author: | Wimar Ramadhan, Fajar |
---|---|
Format: | Final Project |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/38221 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
PORE AND PERMEABILITY CHARACTERISTIC OF IGNEOUS AND SEDIMENT ROCK BY ANALYTICAL AND DIGITAL IMAGE PROCESSING
by: Lokendro M, Muhammad -
CONVOLUTION MARGIN OPTIMIZATION BETWEEN CLINICAL TARGET VOLUME (CTV) AND PLANNING TARGET VOLUME (PTV) WITH ESTIMATE FRACTION USING SIMULATED ANNEALING METHOD
by: Nurhanivah, Devi -
APPLICATION OF MAGNETIC METHOD IN DETERMINING THE TYPE OF ROCK BASED ON THE SUSCEPTIBILITY OF ROCK UNDER THE SURFACE OF PAPANDAYAN GARUT VOLCANO
by: Vitry Yanti, Vebby -
MEASUREMENT OF CONDUCTIVITY USING COMPLEX IMPEDANCE METHODS FROM HALMAHERA ROCK SAMPLE
by: Hisyam Khalid Usman, Muhammad -
APPLICATION OF MACHINE LEARNING TO NON-INTRUSIVE LOAD MONITORING SYSTEM
by: Halim, Hendra