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1. WO2020117207 - DÉTERMINATION DE CONTAMINATION DE FILTRAT DE BOUE ET DE PROPRIÉTÉS DE FLUIDE DE FORMATION PROPRE

Note: Texte fondé sur des processus automatiques de reconnaissance optique de caractères. Seule la version PDF a une valeur juridique

[ EN ]

WHAT IS CLAIMED IS:

1. A system to determine a contamination level of a formation fluid caused by a drilling fluid, the system comprising:

a formation tester tool to be positioned in a borehole, the borehole having a mixture of the formation fluid and the drilling fluid, the formation tester tool comprising a sensor to detect time series measurements from a plurality of sensor channels, the time series measurements comprising measurements of at least one attribute of the mixture of the formation fluid and the drilling fluid;

a processor; and

a machine-readable medium having program code executable by the processor to cause the processor to,

dimensionally reduce the time series measurements to generate a set of reduced measurement scores in a multi-dimensional measurement space, determine an end member in the multi-dimensional measurement space based on the set of reduced measurement scores, wherein the end member comprises a position in the multi-dimensional measurement space that corresponds with a predetermined fluid concentration, and

determine the contamination level of the formation fluid at a time point based the set of reduced measurement scores and the end member.

2. The system of claim 1, wherein the multi-dimensional measurement space is a two-dimensional measurement space, and wherein the machine-readable medium further comprises program code executable by the processor to cause the processor to:

generate a prediction curve based on the set of reduced measurement scores, wherein the end member is a first end member, and wherein the first end member is on the prediction curve in the two-dimensional measurement space; and

determine a second end member, wherein the second end member is on the prediction curve in the two-dimensional measurement space.

3. The system of claim 2, wherein the prediction curve is linear, and wherein the program code executable by the processor to cause the processor to determine the contamination level comprises program code executable by the processor to cause the processor to:

determine a score based on the set of reduced measurement scores and the end member; determine a first distance between the first end member and the score;

determine a second distance between the second end member and the score; and

determine the contamination level based on a ratio, wherein the ratio comprising the first distance and the second distance.

4. The system of claim 2, wherein the prediction curve is linear, and wherein the program code executable by the processor to cause the processor to determine the contamination level comprises program code executable by the processor to cause the processor to:

determine a score based on the set of reduced measurement scores and the end member; determine a first distance between the first end member and a corresponding point, wherein the corresponding point is a point on the prediction curve closest to the score;

determine a second distance between the second end member and the corresponding point; and

determine the contamination level based on a ratio, wherein the ratio comprising the first distance and the second distance.

5. The system of claim 1, wherein the machine-readable medium further comprises program code executable by the processor to cause the processor to:

determine a property of a pure formation fluid based on the end member, wherein the

predetermined fluid concentration of the end member is a pure formation fluid concentration.

6. The system of claim 1, wherein the sensor comprises at least one of an optical sensor, a resistivity sensor, and a density sensor.

7. The system of claim 1, wherein the machine-readable medium further comprises program code executable by the processor to cause the system to:

determine prior sensor information of the sensor that comprises at least one of a prior

measurement and a prior confidence level of the sensor;

determine the end member based on a physical limit of the sensor and the prior sensor

information; and

determine a confidence associated with the contamination level based on the prior confidence level of the sensor.

8. The system of claim 1, wherein the formation tester tool further comprises a probe to draw the mixture of the formation fluid and the drilling fluid from a formation.

9. One or more non-transitory machine-readable media comprising program code to determine a contamination level of a formation fluid caused by a drilling fluid, the program code to:

position a formation tester tool into a borehole, the borehole having a mixture of the

formation fluid and the drilling fluid, the formation tester tool comprising a sensor to detect time series measurements from a plurality of sensor channels, the time series measurements comprising measurements of at least one attribute of the mixture of the formation fluid and the drilling fluid;

dimensionally reduce the time series measurements to generate a set of reduced measurement scores in a multi-dimensional measurement space;

determine an end member in the multi-dimensional measurement space based on the set of reduced measurement scores, wherein the end member comprises a position in the multi dimensional measurement space that corresponds with a predetermined fluid

concentration; and

determine the contamination level of the formation fluid at a time point based the set of reduced measurement scores and the end member.

10. The one or more non-transitory machine-readable media of claim 9, wherein the multi dimensional measurement space is a two-dimensional measurement space, and wherein the program code further comprises program code to:

generate a prediction curve based on the set of reduced measurement scores, wherein the end member is a first end member, and wherein the first end member is on the prediction curve in the two-dimensional measurement space; and

determine a second end member, wherein the second end member is on the prediction curve in the two-dimensional measurement space.

11. The one or more non-transitory machine-readable media of claim 10, wherein the prediction curve is linear, and wherein the program code to determine the contamination level comprises program code to:

determine a score based on the set of reduced measurement scores and the end member; determine a first distance between the first end member and the score;

determine a second distance between the second end member and the score; and

determine the contamination level based on a ratio, wherein the ratio comprising the first distance and the second distance.

12. The one or more non-transitory machine-readable media of claim 10, wherein the prediction curve is linear, and wherein the program code to determine the contamination level comprises program code to:

determine a score based on the set of reduced measurement scores and the end member; determine a first distance between the first end member and a corresponding point, wherein the corresponding point is a point on the prediction curve closest to the score;

determine a second distance between the second end member and the corresponding point; and

determine the contamination level based on a ratio, wherein the ratio comprising the first distance and the second distance.

13. The one or more non-transitory machine-readable media of claim 9, further comprising program code to:

determine a property of a pure formation fluid based on the end member, wherein the

predetermined fluid concentration of the end member is a pure formation fluid concentration.

14. The one or more non-transitory machine-readable media of claim 9, further comprising program code to:

determine prior sensor information of the sensor that comprises at least one of a prior

measurement and a prior confidence level of the sensor;

determine the end member based on a physical limit of the sensor and the prior sensor

information; and

determine a confidence associated with the contamination level based on the prior confidence level of the sensor.

15. A method to determine a contamination level of a formation fluid caused by a drilling fluid, the method comprising:

positioning a formation tester tool into a borehole, the borehole having a mixture of the formation fluid and the drilling fluid, the formation tester tool comprising a sensor to detect time series measurements from a plurality of sensor channels, the time series measurements comprising measurements of at least one attribute of the mixture of the formation fluid and the drilling fluid;

dimensionally reducing the time series measurements to generate a set of reduced

measurement scores in a multi-dimensional measurement space;

determining an end member in the multi-dimensional measurement space based on the set of reduced measurement scores, wherein the end member comprises a position in the multi dimensional measurement space that corresponds with a predetermined fluid concentration; and

determining the contamination level of the formation fluid at a time point based the set of reduced measurement scores and the end member.

16. The method of claim 15, wherein the multi-dimensional measurement space is a two-dimensional measurement space, and wherein the method further comprises:

generating a prediction curve based on the set of reduced measurement scores, wherein the end member is a first end member, and wherein the first end member is on the prediction curve in the two-dimensional measurement space; and

determining a second end member, wherein the second end member is on the prediction curve in the two-dimensional measurement space.

17. The method of claim 16, wherein the prediction curve is linear, and wherein the method further comprises:

determining a score based on the set of reduced measurement scores and the end member; determining a first distance between the first end member and the score;

determining a second distance between the second end member and the score; and determining the contamination level based on a ratio, wherein the ratio comprising the first distance and the second distance.

18. The method of claim 16, wherein the prediction curve is linear, and wherein the method further comprises:

determine a score based on the set of reduced measurement scores and the end member; determine a first distance between the first end member and a corresponding point, wherein the corresponding point is a point on the prediction curve closest to the score;

determine a second distance between the second end member and the corresponding point; and

determine the contamination level based on a ratio, wherein the ratio comprising the first distance and the second distance.

19. The method of claim 15, further comprising:

determining a property of a pure formation fluid based on the end member, wherein the predetermined fluid concentration of the end member is a pure formation fluid concentration.

20. The method of claim 15, further comprising:

determining prior sensor information of the sensor that comprises at least one of a prior measurement and a prior confidence level of the sensor;

determining the end member based on a physical limit of the sensor and the prior sensor information; and

determining a confidence associated with the contamination level based on the prior

confidence level of the sensor.