Program for Predicting the Densities and Pressure of Invert Elviulsion Muds Under Static Well Conditions

This thesis presents a study of the effect of temperature and pressure on different invert emulsion muds and base fluids. A compositional material balance model was used to predict the densities of synthetic and oil based muds at different temperatures and pressures under static hole conditions. A program for predicting the densities of different synthetic and oil-based muds under static downhole conditions was written using the above model and works on the windows operating system. The new version of the program can predict densities of single synthetic based mud, and mixtures of two synthetic fluids, as their base fluid. The same compositional model was applied to the mixture of two synthetic fluids and the result compared to the experimental data was confirmative. The program can be used for deep-water wells, which have two different temperature profiles. Thus, the program can be used for ultra deep offshore wells and for mixtures at low temperatures. The user can also create new base fluids using the program interface to increase the database of the _l=)rogram. Experiments were conducted by MI Drilling Fluids using a Huxley - Bertram viscometer modified to directly give the density of the fluid.

Name thesis:degree_name

Master of Science in Engineering

Level thesis:degree_level

Masters

Discipline thesis:degree_discipline

Petroleum Engineering

Grantor

University of Texas at Austin

Year dc:date.issued

2001

Author dc:creator

• Behl, Navneet

Advisor dc:contributor.advisor

• Chenevert, Martin E.

• Invert emulsion muds
• Static well conditions
• Synthetic fluid

Statement dc:rights

• Copyright © is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.

Language dc:language.iso

eng

Identifier URI

http://dx.doi.org/10.26153/tsw/7718

OAI identifier oai:identifier

oai:repositories.lib.utexas.edu:2152/80702