Application of Simulated Distillation to N-Component Material Balance Calculations in Miscible Flooding Flow Experiments
Abstract/Contents
- Abstract
- A gas chromatographic technique for simulating true boiling point distillations is investigated as a method for measuring crude oil compositions on an n-component basis. Also, a computer program to perform n-component material balance calculations is presented. This simulated distillation technique and computer program are applied to two mixing cylinder experiments and two short core, tertiary CO2 floods.In the mixing cylinder experiments, it is shown that simulated distillation can be used to provide compositional data necessary for material balance calculations to be made on an n-component basis in miscible flooding flow experiments. Material balance closure is shown to improve significantly, especially in the plus component, when a weight fraction of internal standard is used and the flame ionization detector response of the chromatograph is interpreted as weight, rather than volume, fraction. Vapor liquid equilibrium calculations, using K-values, are demonstrated to improve material closure on components C, and lighter by calculating the amounts of these components in the produced gas. When applied to short core, tertiary CO2 displacements, this technique provides a qualitative estimate of the residual oil composition.
Description
| Type of resource | text |
|---|---|
| Date created | February 1985 |
Creators/Contributors
| Author | May, Ronald Sherman |
|---|---|
| Primary advisor | Aziz, Khalid |
| Degree granting institution | Stanford University, Department of Petroleum Engineering |
Subjects
| Subject | School of Earth Energy & Environmental Sciences |
|---|---|
| Genre | Thesis |
Bibliographic information
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Preferred citation
- Preferred Citation
- May, Ronald Sherman. (1985). Application of Simulated Distillation to N-Component Material Balance Calculations in Miscible Flooding Flow Experiments. Stanford Digital Repository. Available at: https://purl.stanford.edu/nk799vp7032
Collection
Master's Theses, Doerr School of Sustainability
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