### Abstract

Minimum miscibility pressure (MMP) is a key parameter in the design of gas floods. Injection gas compositions often vary during the life of a gas flood owing to reinjection and mixing of fluids in situ. Understanding the impact of the gas compositional changes on the MMP is essential to optimal design of field-wide pressure management and CO_{2} utilization. Determining the MMP by slim tube or other methods for each possible gas mixture is impractical. This paper gives an easy and accurate way to determine MMPs for any multicomponent gas based solely on a few estimates of MMPs from binary gas mixtures. We use the method of characteristics (MOC) and our newly developed mixing-cell method to estimate MMPs for binary gases, where the primary component is contaminated by another component. We demonstrate how to calculate MMPs for multicomponent solvents using two example reservoir oils displaced by CO_{2} contaminated by various mixtures of N_{2}, CH _{4}, C_{2}, C_{3}, and H_{2}S. We also examine the sensitivity of local displacement efficiency to dispersion for binary gas mixtures using one-dimensional simulation. The results show that the MMP for gases composed of two or more components can be very accurately estimated from a linear mole-fraction weighted function of the MMPs determined from each binary gas mixture, such as CO_{2}-CH_{4} and CO_{2}-C _{2}. For a West Texas crude, the MMPs for contaminated CO_{2} injection streams are determined accurately over a wide range using only the pure-component MMPs. The accuracy of the MMPs are within +/- 15 psia of those calculated using mixing cell and slim-tube simulations. That is, the MMP for all possible gas compositions is nearly a linear combination of the pure-component MMPs. For the second oil displacement by impure CO_{2}, however, the linear interpolation is accurate as long as the contaminant levels are less than about 20% by mole fraction. For this volatile oil we use an extrapolation of the MMPs for small contaminant concentrations in our linear MMP estimation function.

Original language | English (US) |
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Title of host publication | Society of Petroleum Engineers - SPE Annual Technical Conference and Exhibition 2009, ATCE 2009 |

Pages | 3638-3648 |

Number of pages | 11 |

State | Published - Dec 1 2009 |

Event | SPE Annual Technical Conference and Exhibition 2009, ATCE 2009 - New Orleans, LA, United States Duration: Oct 4 2009 → Oct 7 2009 |

### Publication series

Name | Proceedings - SPE Annual Technical Conference and Exhibition |
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Volume | 6 |

### Other

Other | SPE Annual Technical Conference and Exhibition 2009, ATCE 2009 |
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Country | United States |

City | New Orleans, LA |

Period | 10/4/09 → 10/7/09 |

### Fingerprint

### All Science Journal Classification (ASJC) codes

- Fuel Technology
- Energy Engineering and Power Technology

### Cite this

*Society of Petroleum Engineers - SPE Annual Technical Conference and Exhibition 2009, ATCE 2009*(pp. 3638-3648). (Proceedings - SPE Annual Technical Conference and Exhibition; Vol. 6).

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*Society of Petroleum Engineers - SPE Annual Technical Conference and Exhibition 2009, ATCE 2009.*Proceedings - SPE Annual Technical Conference and Exhibition, vol. 6, pp. 3638-3648, SPE Annual Technical Conference and Exhibition 2009, ATCE 2009, New Orleans, LA, United States, 10/4/09.

**A practical method for minimum miscibility pressure estimation of contaminated gas mixtures.** / Johns, Russell Taylor; Ahmadi, Kaveh; Dengen, Z.; Meisong, Y.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A practical method for minimum miscibility pressure estimation of contaminated gas mixtures

AU - Johns, Russell Taylor

AU - Ahmadi, Kaveh

AU - Dengen, Z.

AU - Meisong, Y.

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Minimum miscibility pressure (MMP) is a key parameter in the design of gas floods. Injection gas compositions often vary during the life of a gas flood owing to reinjection and mixing of fluids in situ. Understanding the impact of the gas compositional changes on the MMP is essential to optimal design of field-wide pressure management and CO2 utilization. Determining the MMP by slim tube or other methods for each possible gas mixture is impractical. This paper gives an easy and accurate way to determine MMPs for any multicomponent gas based solely on a few estimates of MMPs from binary gas mixtures. We use the method of characteristics (MOC) and our newly developed mixing-cell method to estimate MMPs for binary gases, where the primary component is contaminated by another component. We demonstrate how to calculate MMPs for multicomponent solvents using two example reservoir oils displaced by CO2 contaminated by various mixtures of N2, CH 4, C2, C3, and H2S. We also examine the sensitivity of local displacement efficiency to dispersion for binary gas mixtures using one-dimensional simulation. The results show that the MMP for gases composed of two or more components can be very accurately estimated from a linear mole-fraction weighted function of the MMPs determined from each binary gas mixture, such as CO2-CH4 and CO2-C 2. For a West Texas crude, the MMPs for contaminated CO2 injection streams are determined accurately over a wide range using only the pure-component MMPs. The accuracy of the MMPs are within +/- 15 psia of those calculated using mixing cell and slim-tube simulations. That is, the MMP for all possible gas compositions is nearly a linear combination of the pure-component MMPs. For the second oil displacement by impure CO2, however, the linear interpolation is accurate as long as the contaminant levels are less than about 20% by mole fraction. For this volatile oil we use an extrapolation of the MMPs for small contaminant concentrations in our linear MMP estimation function.

AB - Minimum miscibility pressure (MMP) is a key parameter in the design of gas floods. Injection gas compositions often vary during the life of a gas flood owing to reinjection and mixing of fluids in situ. Understanding the impact of the gas compositional changes on the MMP is essential to optimal design of field-wide pressure management and CO2 utilization. Determining the MMP by slim tube or other methods for each possible gas mixture is impractical. This paper gives an easy and accurate way to determine MMPs for any multicomponent gas based solely on a few estimates of MMPs from binary gas mixtures. We use the method of characteristics (MOC) and our newly developed mixing-cell method to estimate MMPs for binary gases, where the primary component is contaminated by another component. We demonstrate how to calculate MMPs for multicomponent solvents using two example reservoir oils displaced by CO2 contaminated by various mixtures of N2, CH 4, C2, C3, and H2S. We also examine the sensitivity of local displacement efficiency to dispersion for binary gas mixtures using one-dimensional simulation. The results show that the MMP for gases composed of two or more components can be very accurately estimated from a linear mole-fraction weighted function of the MMPs determined from each binary gas mixture, such as CO2-CH4 and CO2-C 2. For a West Texas crude, the MMPs for contaminated CO2 injection streams are determined accurately over a wide range using only the pure-component MMPs. The accuracy of the MMPs are within +/- 15 psia of those calculated using mixing cell and slim-tube simulations. That is, the MMP for all possible gas compositions is nearly a linear combination of the pure-component MMPs. For the second oil displacement by impure CO2, however, the linear interpolation is accurate as long as the contaminant levels are less than about 20% by mole fraction. For this volatile oil we use an extrapolation of the MMPs for small contaminant concentrations in our linear MMP estimation function.

UR - http://www.scopus.com/inward/record.url?scp=78349274010&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78349274010&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:78349274010

SN - 9781615675753

T3 - Proceedings - SPE Annual Technical Conference and Exhibition

SP - 3638

EP - 3648

BT - Society of Petroleum Engineers - SPE Annual Technical Conference and Exhibition 2009, ATCE 2009

ER -