University of Houston
Modeling of Pipe Friction and Smear Effect in Drilling Operations
Abstract
dc:description.abstractThe increased complexity of drilling programs has led to the development of new drilling techniques and has resulted in problems that were not encountered before. This study focuses on two such issues: 1) to model the influence of wellbore friction on downhole temperatures of the drilling fluid, 2) to understand the smear effect mechanism observed in a casing while drilling operation through mathematical studies. An analytical model has been proposed to estimate the increase in downhole wellbore temperatures during a drilling activity and subsequently validated for a deviated and a horizontal well using real-time data measured in the field. The contribution of wellbore temperatures and plugging of micro-fractures towards improving the fracture gradient of the formation has then been analyzed using quantitative studies aiming to provide a physical insight into the smear effect mechanism. Various parametric analyses have also been presented to help optimize future drilling programs.
Degree
thesis:*- Name thesis:degree_name
- Master of Science
- Level thesis:degree_level
- Masters
- Discipline thesis:degree_discipline
- Petroleum Engineering
- Grantor
- University of Houston
- Year dc:date.issued
- 2012
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Aniket 1986-
- Advisor dc:contributor.advisor
-
- Nikolaou, Michael
- Committee members dc:contributor.committeemember
-
- Samuel, Robello
- Song, Gangbing
Subjects
dc:subject × 7Rights
dc:rights- Statement dc:rights
-
- The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/10657/774
- OAI identifier oai:identifier
- oai:uh-ir.tdl.org:10657/774