PREDICTION OF PERMEABILITY AT WELL LOG SCALE USING GAUSSIAN RANDOM FUNCTION SIMULATION AND MACHINE LEARNING

PREDICTION OF PERMEABILITY AT WELL LOG SCALE USING GAUSSIAN RANDOM FUNCTION SIMULATION AND MACHINE LEARNING

Permeability data is exclusively obtainable from laboratory testing conducted on core samples and well tests extracted from many wells. Frequently, this data is used to make inferences and estimate the permeability of the entire field. Nevertheless, the absence of sufficient data typically leads to...

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Main Author: Tangkin, Sukma
Format: Theses
Language:Indonesia
Subjects:
Pertambangan dan operasi berkaitan
Online Access:https://digilib.itb.ac.id/gdl/view/81863
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:81863
spelling id-itb.:818632024-07-04T14:56:06ZPREDICTION OF PERMEABILITY AT WELL LOG SCALE USING GAUSSIAN RANDOM FUNCTION SIMULATION AND MACHINE LEARNING Tangkin, Sukma Pertambangan dan operasi berkaitan Indonesia Theses Gaussian Random Function Simulation, Machine Learning, Permeability INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/81863 Permeability data is exclusively obtainable from laboratory testing conducted on core samples and well tests extracted from many wells. Frequently, this data is used to make inferences and estimate the permeability of the entire field. Nevertheless, the absence of sufficient data typically leads to incorrect forecasts, rendering permeability one of the most difficult physical qualities of rocks to assess. Prior research has utilized rock type as a means of determining permeability. Predicting the rock type in areas without core data is challenging due to the unknown permeability, which is a crucial factor in establishing the rock type. The method presented in this study aims to address this issue by utilizing core and log data to forecast permeability, without the necessity to identify the rock type at each interval. The study included two methods: simulation using Gaussian random function and machine learning as a comparative approach. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Pertambangan dan operasi berkaitan
spellingShingle Pertambangan dan operasi berkaitan
Tangkin, Sukma
PREDICTION OF PERMEABILITY AT WELL LOG SCALE USING GAUSSIAN RANDOM FUNCTION SIMULATION AND MACHINE LEARNING
description Permeability data is exclusively obtainable from laboratory testing conducted on core samples and well tests extracted from many wells. Frequently, this data is used to make inferences and estimate the permeability of the entire field. Nevertheless, the absence of sufficient data typically leads to incorrect forecasts, rendering permeability one of the most difficult physical qualities of rocks to assess. Prior research has utilized rock type as a means of determining permeability. Predicting the rock type in areas without core data is challenging due to the unknown permeability, which is a crucial factor in establishing the rock type. The method presented in this study aims to address this issue by utilizing core and log data to forecast permeability, without the necessity to identify the rock type at each interval. The study included two methods: simulation using Gaussian random function and machine learning as a comparative approach.
format Theses
author Tangkin, Sukma
author_facet Tangkin, Sukma
author_sort Tangkin, Sukma
title PREDICTION OF PERMEABILITY AT WELL LOG SCALE USING GAUSSIAN RANDOM FUNCTION SIMULATION AND MACHINE LEARNING
title_short PREDICTION OF PERMEABILITY AT WELL LOG SCALE USING GAUSSIAN RANDOM FUNCTION SIMULATION AND MACHINE LEARNING
title_full PREDICTION OF PERMEABILITY AT WELL LOG SCALE USING GAUSSIAN RANDOM FUNCTION SIMULATION AND MACHINE LEARNING
title_fullStr PREDICTION OF PERMEABILITY AT WELL LOG SCALE USING GAUSSIAN RANDOM FUNCTION SIMULATION AND MACHINE LEARNING
title_full_unstemmed PREDICTION OF PERMEABILITY AT WELL LOG SCALE USING GAUSSIAN RANDOM FUNCTION SIMULATION AND MACHINE LEARNING
title_sort prediction of permeability at well log scale using gaussian random function simulation and machine learning
url https://digilib.itb.ac.id/gdl/view/81863
_version_ 1822009604119199744

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