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Forecasting Torque and Drag for Oil Wells Prediction using Variation of Decision Tree Algorithm

Drilling through the subsurface is a complicated process that almost always results in issues. As a result, reaching the target successfully necessitates anticipating and understanding drilling issues, their causes, and planning solutions. Borehole instability, mud contamination, formation damage, a...

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Main Author: Norazli @ Norizan, Nursyafinas
Format: Final Year Project
Language:English
Published: 2022
Subjects:
T Technology (General)
Online Access:http://utpedia.utp.edu.my/id/eprint/24542/1/Forecasting%20Torque%20and%20Drag%20for%20Oil%20Wells%20Prediction%20using%20Variation%20of%20Decision%20Tree%20Algorithm.pdf
http://utpedia.utp.edu.my/id/eprint/24542/
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spelling oai:utpedia.utp.edu.my:245422023-05-22T03:09:50Z http://utpedia.utp.edu.my/id/eprint/24542/ Forecasting Torque and Drag for Oil Wells Prediction using Variation of Decision Tree Algorithm Norazli @ Norizan, Nursyafinas T Technology (General) Drilling through the subsurface is a complicated process that almost always results in issues. As a result, reaching the target successfully necessitates anticipating and understanding drilling issues, their causes, and planning solutions. Borehole instability, mud contamination, formation damage, and hole cleaning are among the most common drilling issues. Other common issues include pipe sticking, lost circulation, hole deviation, and pipe failures. 2022-09 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24542/1/Forecasting%20Torque%20and%20Drag%20for%20Oil%20Wells%20Prediction%20using%20Variation%20of%20Decision%20Tree%20Algorithm.pdf Norazli @ Norizan, Nursyafinas (2022) Forecasting Torque and Drag for Oil Wells Prediction using Variation of Decision Tree Algorithm. [Final Year Project] (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Norazli @ Norizan, Nursyafinas
Forecasting Torque and Drag for Oil Wells Prediction using Variation of Decision Tree Algorithm
description Drilling through the subsurface is a complicated process that almost always results in issues. As a result, reaching the target successfully necessitates anticipating and understanding drilling issues, their causes, and planning solutions. Borehole instability, mud contamination, formation damage, and hole cleaning are among the most common drilling issues. Other common issues include pipe sticking, lost circulation, hole deviation, and pipe failures.
format Final Year Project
author Norazli @ Norizan, Nursyafinas
author_facet Norazli @ Norizan, Nursyafinas
author_sort Norazli @ Norizan, Nursyafinas
title Forecasting Torque and Drag for Oil Wells Prediction using Variation of Decision Tree Algorithm
title_short Forecasting Torque and Drag for Oil Wells Prediction using Variation of Decision Tree Algorithm
title_full Forecasting Torque and Drag for Oil Wells Prediction using Variation of Decision Tree Algorithm
title_fullStr Forecasting Torque and Drag for Oil Wells Prediction using Variation of Decision Tree Algorithm
title_full_unstemmed Forecasting Torque and Drag for Oil Wells Prediction using Variation of Decision Tree Algorithm
title_sort forecasting torque and drag for oil wells prediction using variation of decision tree algorithm
publishDate 2022
url http://utpedia.utp.edu.my/id/eprint/24542/1/Forecasting%20Torque%20and%20Drag%20for%20Oil%20Wells%20Prediction%20using%20Variation%20of%20Decision%20Tree%20Algorithm.pdf
http://utpedia.utp.edu.my/id/eprint/24542/
_version_ 1768010138946371584
score 13.214268

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