Comparative and Optimization of CO₂ and Natural Gas EOR Methods

Abstract

In this chapter, numerical simulation methods of compositional models are incorporated with LS-LR-DK (logarithmically spaced, locally refined, and dual permeability) models to mimic the performance of CO2 as well as natural gases (lean gas and rich gas) in terms of enhanced oil recovery (EOR). A numerical simulation investigation is presented in this chapter covering different operational strategies implemented by unconventional EOR reservoirs, which explore and optimize the most applicable gases with the most effective parameters designed to manage EOR production. Two design of experiment (DOE) methods were used to conduct the sensitivity analysis including the response surface methodology (RSM) and the one-parameter-at-a-time (OPAAT) approach. This chapter generally presents the guidelines on how to select and optimize the most feasible EOR technique based on the rock and fluid properties of the candidate reservoir. It also serves as a guidance on how to use numerical simulation to investigate the most important factors controlling EOR methods.

Department(s)

Geosciences and Geological and Petroleum Engineering

Comments

Chapter 12

Keywords and Phrases

CO EOR 2; design of experiment (DOE); natural gas EOR; one-parameter-at-a-time (OPAAT) method; response surface methodology (RSM); sensitivity analysis; shale and tight oil reservoirs

International Standard Serial Number (ISSN)

0376-7361

Document Type

Book - Chapter

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2020 Elsevier B.V., All rights reserved.

Publication Date

01 Jan 2020

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