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Permanent link (DOI): https://doi.org/10.7939/R36Q80

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Smart Modeling of Drilling-Well in an Integrated Approach Open Access

Descriptions

Other title
Subject/Keyword
Knowledge driven CAD
Smart modeling
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Rahman, Shah Md Rajiur
Supervisor and department
Ma, Yongsheng (Mechanical Engineering)
Examining committee member and department
Xia, Zihui (Mechanical Engineering)
Kumar, Amit (Mechanical Engineering)
Kuru, Ergun (Civil & Environmental Engineering)
Department
Department of Mechanical Engineering
Specialization

Date accepted
2011-01-31T18:20:49Z
Graduation date
2011-06
Degree
Master of Science
Degree level
Master's
Abstract
The current well planning practice is usually done section by section with limited help of some knowledge-based tools. This thesis presents an integrated approach and a software prototype developed for well planning. It considers the geological input, i.e. pore pressure, over burden etc., to generate a step by step interactive drilling plan. The implemented well planning stages include the casing setting depth, casing and hole size determination, casing selection and then drill string design and modeling. The system is integrated with a Computer Aided Design (CAD) system for generating three-dimensional parametric model. The conceptual design and CAD modeling system are integrated in such a way that any changes in the design will be reflected to the CAD model. Such intelligent CAD design practice is new in the drilling industry. An Operational Parameters module is also attached with the system to predict the drilling coefficients by using offset well data and determine the optimum weight on bit, and the drill string rotation that minimizes drilling cost per foot for a single bit run. Based on this approach, an integrated well planning system can be fully developed and it will be very useful for the decision making of drilling companies.
Language
English
DOI
doi:10.7939/R36Q80
Rights
License granted by Shah Md Rajiur Rahman (shahmd@ualberta.ca) on 2011-01-31T17:57:30Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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