Performing a downhole pressure test

1. A method for performing a pressure test comprising:

inserting a downhole tool into a wellbore to a first location within the wellbore based at least in part on a figure of merit, wherein the downhole tool includes:

at least one probe;

a pump disposed within the downhole tool and connect to the at least one probe by at least one probe channel and at least one fluid passageway; and

at least one stabilizer disposed on the downhole tool;

activating the at least one stabilizer, wherein the at least one stabilizer is activated into a surface of the wellbore; and

performing the pressure test within the wellbore; and

determining at least one formation property from the pressure test with an information handling system that is in communication with the downhole tool.

2. The method of claim 1 , further comprising forming a figure of merit from a forward model based at least in part on the at least on formation property.

3. The method of claim 2 , wherein the forward model includes a plurality of pressure pre-test variables.

4. The method of claim 3 , wherein the plurality of pressure pre-test variables include at least one set of historical pressure tests, drawdown volumes set, drawdown rates set, drawdown pressures set, tool parameters set, and formation parameters set.

5. The method of claim 2 , wherein the figure of merit is weighed by at least one of metrics of stability and quality.

6. The method of claim 5 , wherein the quality is defined by a score and the score is identified by a range that identifies a validity of an ability to perform the pressure test.

7. The method of claim 2 , further comprising updating the forward model with the at least one formation property from the pressure test.

8. The method of claim 1 , wherein the information handling system is disposed at surface.

9. The method of claim 1 , wherein the information handling system is disposed on the downhole tool.

10. The method of claim 1 , wherein the information handling system is disposed at least partially at surface and at least partially on the downhole tool.

11. A system for performing a formation fluid test comprising:

a downhole tool comprising:

at least one probe, wherein the at least one probe is configured to be disposed in a mudcake along a surface of a wellbore;

at least one stabilizer, wherein the at least one stabilizer is configured to be disposed against the surface of the wellbore; and

an information handling system configured to:

identify a first set of tool parameters;

perform a first test with the downhole tool to identify one or more formation fluid properties;

input the one or more formation properties and the first set of tool parameters into a forward model for a first pre-test;

identifying a figure of merit form the forward model; and

change the first set of tool parameters to a second set of tool parameters for a second pre-test based at least in part on the figure of merit.

12. The system of claim 11 , wherein the information handling system is disposed at surface.

13. The system of claim 12 , wherein the figure of merit is weighed by at least one of metrics of stability and quality.

14. The system of claim 13 , wherein the quality is defined by a score and the score is identified by a range that identifies a validity of an ability to perform the pressure test.

15. The system of claim 11 , wherein the forward model includes a plurality of pressure pre-test variables.

16. The system of claim 15 , wherein the plurality of pressure pre-test variables include at least one set of historical pressure tests, drawdown volumes set, drawdown rates set, drawdown pressures set, tool parameters set, and formation parameters set.

17. The system of claim 11 , wherein the information handling system is disposed on the downhole tool.

18. The system of claim 11 , wherein the information handling system is disposed at least partially at surface and at least partially on the downhole tool.

19. The system of claim 11 , wherein the herein the forward model is a Gaussian Process Regression model, Gradient Boosted Regression model, K nearest neighbor's model, support vector machine model, multi-layer perceptron, or artificial neural network model.

20. The system of claim 11 , wherein the forward model includes historic pressure test from an analog well.