Foam Flow Project - University of Tulsa

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Transcript Foam Flow Project - University of Tulsa

Foam Flow Projects
Mohan Kelkar and Cem Sarica
The University of Tulsa
Foam Flow Projects: July 29, 2014
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Outline
• Introduction
• Background
• Objectives
• Current Status
• Future Work
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Introduction
• Foam flow is the most suitable artificial lift
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method for many tight, deep, gas wells
No correlation exists for pressure drop
prediction in foam flow
Need a model to correctly predict the ratepressure drop relationship under foam flow
conditions
Need to know the limits of foam flow
application
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Background
• This project is a joint effort between
funding by RPSEA and six companies
• The six member companies are:
Chevron, Marathon, Shell,
ConocoPhillips, Nalco, and MultiChem
• The Project got officially kicked off in
December, 2010 and have been
extended through December of 2014
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Objectives of the Project
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Collect experimental foam flow data under controlled
conditions for two different tubing sizes and five
different foams
Measure surface tension, viscosity and foam stability
Develop comprehensive correlation to predict
pressure drop under foam flow conditions
Develop guidelines for using appropriate
concentration of surfactant as well as minimum gasliquid ratios
Validate the model by comparing the results with field
data provided by participating companies
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Current Status
• One graduate student and two
undergraduate students working on
the project
Ayantayo Ajani – PhD Student
Chance Brashears
Dhiya Shukri
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Current Status …
• The project is divided into three
phases
Experimental data in large scale
facility
Experimental data in small scale
facility
Modeling of the data
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Current Status …
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We have collected data in large scale facility for five
different surfactants
We have collected data in small scale facility for five
different surfactants
We have examined the effect of brine and
temperature on some representative samples
We have just started the modeling process
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Future Work
• Model will be built to estimate gas
holdup in large scale facility based on
small scale data
Model will be built to understand the
inception of liquid loading under foam
flow
• Model will be built to estimate pressure
drop for foam flow conditions
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