An equation of state based correlation for gas condensates and wet gases in unconventional shale plays
AssigneeLandmark Graphics Corporation
InventorsShameem Siddiqui, Amit Kumar, Ronald G Dusterhoff
Life of this patent
Estimating the term…
Abstract
Systems and methods for correlating gas condensates and wet gases in unconventional shale plays based on an equation of state using a condensate gas-ratio, a separator pressure and a separator temperature.
Claims20
A method for correlating gas condensates and wet gases in unconventional shale plays, which comprises:
- calculating a CGRS value using a reduced pseudo-component fluid model and data for each fluid at a reservoir temperature, a separator pressure and a separator temperature;
- calculating a CGRA value using the reduced pseudo-component fluid model and data for each fluid at atmospheric conditions;
- plotting a relationship between the CGRA value and a respective C7+ mole fraction value from the reduced pseudo-component fluid model for each fluid using a computer processor, the relationship representing a CGRA relationship equation;
- plotting a relationship between the CGRS value and a respective C7+ mole fraction value from the reduced pseudo-component fluid model for each fluid using the computer processor, the relationship representing a CGRS relationship equation;
- creating a fluid databae using a compositional simulation PVT data file for each fluid;
- calculating a C7+ value using one of the CGRA value for each fluid and the CGRA relationship equation and the CGRS value for each fluid and the CGRS relationship equation, wherein C7+ represents the mole fraction of components heavier than heptane (C7);
- and
- determining a mole fraction of each pseudo-component in the reduced pseudo-component fluid model using the C7+ value and the fluid database.
A program carrier device for carrying computer executable instructions for correlating gas condensates and wet gases in unconventional shale plays, the instructions being executable to implement:
- calculating a CGRS value using a reduced pseudo-component fluid model and data for each fluid at a reservoir temperature, a separator pressure and a separator temperature;
- calculating a CGRA value using the reduced pseudo-component fluid model and data for each fluid at atmospheric conditions;
- plotting a relationship between the CGRA value and a respective C7+ mole fraction value from the reduced pseudo-component fluid model for each fluid, the relationship representing a CGRA relationship equation;
- plotting a relationship between the CGRS value and a respective C7+ mole fraction value from the reduced pseudo-component fluid model for each fluid, the relationship representing a CGRS relationship equation;
- creating a fluid database using a compositional simulation PVT data file for each fluid;
- calculating a C7+ value using one of the CGRA value for each fluid and the CGRA relationship equation and the CGRS value for each fluid and the CGRS relationship equation, wherein C7+ represents the mole fraction of components heavier than heptane (C7);
- and
- determining a mole fraction of each pseudo-component in the reduced pseudo-component fluid model using the C7+ value and the fluid database.
A method for correlating gas condensates and wet gases in unconventional shale plays, which comprises:
- calculating a CGRS value using a reduced pseudo-component fluid model and data for each fluid at multiple data points for a reservoir temperature, a separator temperature and a separator pressure;
- calculating a CGRA value using the reduced pseudo-component fluid model and data for each fluid at atmospheric conditions;
- plotting a relationship between the CGRA value and a respective C7+ mole fraction value from the reduced pseudo-component fluid model for each fluid using a computer processor, the relationship representing a CGRA relationship equation;
- plotting a relationship between the CGRS value and a new parameter X, which is a product of a predetermined scaling parameter W and the CGRA value for each separator pressure for each fluid using the computer processor, the relationship representing a CGRS relationship equation;
- creating a fluid database using a compositional simulation PVT data file for each fluid;
- calculating a C7+ value using the CGRA relationship equation and one of a known CGRA value for each fluid and a calculated CGRA value for each fluid, wherein C7+ represents the mole fraction of components heavier than heptane (C7);
- and
- determining a mole fraction of each pseudo-component in the reduced pseudo-component component fluid model using the C7+ value and the fluid database.
A program carrier device for carrying computer executable instructions for correlating gas condensates and wet gases in unconventional shale plays, the instructions being executable to implement:
- calculating a CGRS value using a reduced pseudo-component fluid model and data for each fluid at multiple data points for a reservoir temperature, a separator temperature and a separator pressure;
- calculating a CGRA value using the reduced pseudo-component fluid model and data for each fluid at atmospheric conditions;
- plotting a relationship between the CGRA value and a respective C7+ mole fraction value from the reduced pseudo-component fluid model for each fluid, the relationship representing a CGRA relationship equation;
- plotting a relationship between the CGRS value and a new parameter X, which is a product of a predetermined scaling parameter W and the CGRA value for each separator pressure for each fluid, the relationship representing a CGRS relationship equation;
- creating a fluid database using a compositional simulation PVT data file for each fluid;
- calculating a C7+ value using the CGRA relationship equation and one of a known CGRA value for each fluid and a calculated CGRA value for each fluid, wherein C7+ represents the mole fraction of components heavier than heptane (C7);
- and
- determining a mole fraction of each pseudo-component in the reduced pseudo-component fluid model using the C7+ value and the fluid database.
Dependencies are inferred from the claim text.