Comparative and Optimization of CO₂ and Natural Gas EOR Methods
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.
D. Alfarge et al., "Comparative and Optimization of CO₂ and Natural Gas EOR Methods," Developments in Petroleum Science, vol. 67, pp. 245-265, Elsevier B.V., Jan 2020.
The definitive version is available at https://doi.org/10.1016/B978-0-12-818343-4.00012-7
Geosciences and Geological and Petroleum Engineering
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
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01 Jan 2020