Predicting clean fluid composition and properties with a rapid formation tester pumpout

1. A method for estimating clean fluid composition and properties, comprising:

disposing a downhole fluid sampling tool into a wellbore, wherein the downhole fluid sampling tool comprises optical instrumentation;

obtaining a fluid sample with the downhole fluid sampling tool;

performing a rapid pumpout operation with as low as 40 liters of pumpout volume or 20-25 minutes of pumpout time;

identifying input parameters from at least one sensor response on the optical instrumentation, wherein the input parameters comprise fluid properties obtained from measurement of the fluid sample and mud filtrate composition; and

predicting a clean fluid sample of the reservoir fluid using an asymptote of a dimensional reduction analysis and equation of state.

2. The method of claim 1 , further comprising despiking the at least one sensor response.

3. The method of claim 2 , wherein the despiking the at least one sensor response is performed by a Hampel filter.

4. The method of claim 1 , further comprising transforming the at least one sensor response by a principal component analysis.

5. The method of claim 1 , further comprising performing a robust principal component analysis on the at least one sensor response.

6. The method of claim 5 , further comprising applying a robust regression method on the at least one sensor response, wherein the robust regression method is computed as scores fit =A+B X ν β , where A and B are constants determined by a regression method, ν is a formation fluid pumpout accumulated volume, and β is a density decay rate.

7. The method of claim 1 , further comprising performing a production or completion decision.

8. The method of claim 1 , wherein the well fluid comprises a drilling fluid.

9. The method of claim 1 , wherein obtaining the fluid sample comprising operating the downhole fluid sampling tool in the wellbore to obtain the fluid sample.

10. A method to estimate clean fluid composition, comprising:

despiking an original dataset,

applying a robust regression method on at least one sensor response, wherein the robust regression method is computed as scores fit =A+B X ν β , where A and B are constants determined by a regression method, ν is a formation fluid pumpout accumulated volume, and β is a density decay rate;

removing a contaminated reservoir fluid; and

performing a pumpout to remove clean reservoir fluid from the wellbore.

11. The method of claim 10 , wherein the despiking the original dataset is performed by a Hampel filter.

12. The method of claim 10 , further comprising performing a robust principal component analysis on the original data set.

13. The method of claim 10 , further comprising transforming the original data set by a principal component analysis to form a clean sensor data set.

14. The method of claim 13 , further comprising fitting an asymptote to the clean sensor data set.

15. A system for estimating clean fluid composition, comprising:

a downhole fluid sampling tool comprising optical instrumentation operable to:

obtain fluid samples of a reservoir fluid while the downhole fluid sampling tool is disposed in a wellbore;

perform a rapid pumpout operation with as low as 40 liters of pumpout volume or 20-25 minutes of pumpout time;

a processing unit configured to:

predict a clean fluid sample of the reservoir fluid from at least one sensor response on the optical instrumentation using an asymptote of a principal component analysis and equation of state.

16. The system of claim 15 , wherein the processing unit is further configured to despike the at least one sensor response.

17. The system of claim 16 , wherein a Hampel filter is used to despike the at least one sensor response.

18. The system of claim 15 , wherein the processing unit is further configured to transform the at least one sensor response to a principal component analysis space.

19. The system of claim 15 , wherein the processing unit is further configured to perform a robust principal component analysis on the at least one sensor response.

20. The system of claim 15 , wherein the processing unit is further configured to apply a robust regression method on the at least one sensor response, wherein the robust regression method is computed as scores fit =A+B X ν β , where A and B are constants determined by a regression method, ν is a formation fluid pumpout accumulated volume, and β is a density decay rate.

21. A method for estimating clean fluid composition and properties, comprising:

disposing a downhole fluid sampling tool into a wellbore, wherein the downhole fluid sampling tool comprises optical instrumentation;

obtaining a fluid sample with the downhole fluid sampling tool, wherein the fluid sample comprises a reservoir fluid contaminated with a well fluid;

identifying input parameters from at least one sensor response on the optical instrumentation, wherein the input parameters comprise fluid properties obtained from measurement of the fluid sample and mud filtrate composition;

performing a robust principal component analysis on the at least one sensor response;

applying a robust regression method on the at least one sensor response, wherein the robust regression method is computed as scores fit =A+B X ν β , where A and B are constants determined by a regression method, ν is a formation fluid pumpout accumulated volume, and β is a density decay rate;

predicting a clean fluid sample of the reservoir fluid using an asymptote of a dimensional reduction analysis and equation of state.

22. A system for estimating clean fluid composition, comprising:

a downhole fluid sampling tool comprising optical instrumentation operable to obtain fluid samples of a reservoir fluid contaminated with a well fluid while the downhole fluid sampling tool is disposed in a wellbore; and

a processing unit configured to:

predict a clean fluid sample of the reservoir fluid from at least one sensor response on the optical instrumentation using an asymptote of a principal component analysis and equation of state;

perform a robust principal component analysis on the at least one sensor response; and

apply a robust regression method on the at least one sensor response, wherein the robust regression method is computed as scores fit =A+B X ν β , where A and B are constants determined by a regression method, ν is a formation fluid pumpout accumulated volume, and β is a density decay rate.