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Optimum Roller Cone Bit Selection Using Image Processing Techniques and Artificial Intelligence Tools

Bit selection plays an important role in increasing the rate of penetration (ROP) and decreasing the drilling time for the reduction of drilling cost. Factors such as rotary speed, weight on bit and bit features have a considerable effect on drill bit optimization.

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Bibliographic Details
Main Author: MOMENI, MOHMMADSADEGH
Format: Thesis
Language:English
Published: 2019
Subjects:
QE Geology
Online Access:http://utpedia.utp.edu.my/id/eprint/18961/1/THESIS%20sadegh%20Final1.pdf
http://utpedia.utp.edu.my/id/eprint/18961/
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id oai:utpedia.utp.edu.my:18961
record_format eprints
spelling oai:utpedia.utp.edu.my:189612024-07-29T03:53:08Z http://utpedia.utp.edu.my/id/eprint/18961/ Optimum Roller Cone Bit Selection Using Image Processing Techniques and Artificial Intelligence Tools MOMENI, MOHMMADSADEGH QE Geology Bit selection plays an important role in increasing the rate of penetration (ROP) and decreasing the drilling time for the reduction of drilling cost. Factors such as rotary speed, weight on bit and bit features have a considerable effect on drill bit optimization. 2019-12 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/id/eprint/18961/1/THESIS%20sadegh%20Final1.pdf MOMENI, MOHMMADSADEGH (2019) Optimum Roller Cone Bit Selection Using Image Processing Techniques and Artificial Intelligence Tools. Doctoral thesis, Universiti Teknologi PETRONAS.
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 QE Geology
spellingShingle QE Geology
MOMENI, MOHMMADSADEGH
Optimum Roller Cone Bit Selection Using Image Processing Techniques and Artificial Intelligence Tools
description Bit selection plays an important role in increasing the rate of penetration (ROP) and decreasing the drilling time for the reduction of drilling cost. Factors such as rotary speed, weight on bit and bit features have a considerable effect on drill bit optimization.
format Thesis
author MOMENI, MOHMMADSADEGH
author_facet MOMENI, MOHMMADSADEGH
author_sort MOMENI, MOHMMADSADEGH
title Optimum Roller Cone Bit Selection Using Image Processing Techniques and Artificial Intelligence Tools
title_short Optimum Roller Cone Bit Selection Using Image Processing Techniques and Artificial Intelligence Tools
title_full Optimum Roller Cone Bit Selection Using Image Processing Techniques and Artificial Intelligence Tools
title_fullStr Optimum Roller Cone Bit Selection Using Image Processing Techniques and Artificial Intelligence Tools
title_full_unstemmed Optimum Roller Cone Bit Selection Using Image Processing Techniques and Artificial Intelligence Tools
title_sort optimum roller cone bit selection using image processing techniques and artificial intelligence tools
publishDate 2019
url http://utpedia.utp.edu.my/id/eprint/18961/1/THESIS%20sadegh%20Final1.pdf
http://utpedia.utp.edu.my/id/eprint/18961/
_version_ 1806417964159729664
score 13.223943

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