Near wellbore streamline modeling for advanced well completions

Skinner, Justin Harry (2011) Near wellbore streamline modeling for advanced well completions. Masters thesis, Memorial University of Newfoundland.

[img] [English] PDF - Accepted Version
Available under License - The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.

Download (199MB)


The following thesis presents a novel approach to streamline modeling in the near well bore region of an oil well. Streamline modeling has existed with the petroleum field since the 1950’s, with many recent advances occurring throughout the last 25 years. Today, streamline modeling is used for a variety of purposes, including flow visualization, transport calculations, reservoir simulation, history matching and many more useful applications. -- In the known literature streamline modeling has not been performed within the near wellbore region of an oil well. The research presented in this thesis focuses on modeling in this vicinity, showing how near wellbore heterogeneities affect flow distribution and overall production. The research also utilizes the near wellbore streamline modeling methodology to establish a novel technique for evaluating well completion strategies. Through the use of optimal design techniques, the various parameters affecting production are analyzed and optimal completion techniques are established. -- While the majority of this research focuses on a two dimensional isotropic heterogeneous media, discussion is provided for the extension to three dimensional modeling. In addition, discussion is also provided for the general case of an anisotropic heterogeneous reservoir medium. -- Various topics for additional work as a result of this research are provided, including new particle tracking techniques, connection factor implementation and the extension to more complex physics.

Item Type: Thesis (Masters)
Item ID: 11436
Additional Information: Includes bibliographical references (leaves 257-263).
Department(s): Engineering and Applied Science, Faculty of
Date: 2011
Date Type: Submission
Library of Congress Subject Heading: Oil reservoir engineering--Mathematical models; Petroleum engineering--Mathematical models; Oil wells--Testing--Mathematical models.

Actions (login required)

View Item View Item


Downloads per month over the past year

View more statistics