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Analysis and Correlation of Nitrogen and Lean-Gas Miscibility Pressure(includes associated paper 16463 )

Abbas Firoozabadi, +1 more
- 01 Nov 1986 - 
- Vol. 1, Iss: 06, pp 575-582
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This article is published in Spe Reservoir Engineering.The article was published on 1986-11-01. It has received 43 citations till now. The article focuses on the topics: Miscibility.

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Numerical Modeling of Diffusion in Fractured Media for Gas-Injection and -Recycling Schemes

TL;DR: In this paper, a consistent model to incorporate physical diffusion of multicomponent mixtures for gas-injection schemes in fractured reservoirs is presented, for the first time, which can affect significantly the efficiency of gas injection in oil reservoirs and recycling in gas/condensate reservoirs.
Journal ArticleDOI

Modeling interfacial tension and minimum miscibility pressure in paraffin-nitrogen systems: Application to gas injection processes

TL;DR: In this article, a simple-to-use algorithm was proposed to calculate the minimum miscibility pressure (MMP) in normal alkane/nitrogen systems based on the measurements with vanishing interfacial tension (VIT) technique, which predicts the MMP with high accuracy.
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A study on the minimum miscibility pressure for miscible flooding systems

TL;DR: In this article, the minimum misibility pressure of a Chinese reservoir crude oil injected with pure and impure CO 2 have been measured in a RUSKA slim tube apparatus, and new correlations were proposed for CO 2 -flooding and lean natural gas-floodings systems, respectively.
Journal ArticleDOI

A rigorous approach to predict nitrogen-crude oil minimum miscibility pressure of pure and nitrogen mixtures

TL;DR: In this paper, a simple correlation for accurate determination of the minimum miscibility pressure (MMP) of N 2 -crude oil, based on the explicit functionality of reservoir temperature as well as thermodynamic properties of crude oil and injection gas, is presented.
Journal ArticleDOI

Determination of minimum miscibility pressure in N2–crude oil system: A robust compositional model

TL;DR: In this paper, a least square support vector machine (LSSVM) optimized with coupled simulated annealing (CSA) was proposed to develop a reliable and robust model for the prediction of MMP of pure/impure N2-crude oil.
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