1 / 9

Foam Flow Projects

Foam Flow Projects. Mohan Kelkar and Cem Sarica The University of Tulsa. Outline. Introduction Background Objectives Current Status Future Work. Introduction. Foam flow is the most suitable artificial lift method for many tight, deep, gas wells

dayo
Download Presentation

Foam Flow Projects

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Foam Flow Projects Mohan Kelkar and Cem Sarica The University of Tulsa

  2. Outline • Introduction • Background • Objectives • Current Status • Future Work

  3. Introduction Foam flow is the most suitable artificial lift method for many tight, deep, gas wells No correlation exists for pressure drop prediction in foam flow Need a model to correctly predict the rate-pressure drop relationship under foam flow conditions Need to know the limits of foam flow application

  4. 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

  5. Objectives of the Project • 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 gas-liquid ratios • Validate the model by comparing the results with field data provided by participating companies

  6. Current Status • One graduate student and two undergraduate students working on the project • Ayantayo Ajani – PhD Student • Chance Brashears • DhiyaShukri

  7. 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

  8. Current Status … • 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

  9. 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

More Related