Method and apparatus for formation tester data interpretation with diverse flow models

An information handling system having a non-transitory computer readable medium, wherein the non-transitory computer readable medium contains instructions to:

• obtain data from a formation tester at a desired location in the formation of interest, wherein the obtained data relates to a first parameter at the desired location of the formation of interest;
• initialize an estimation of a second parameter at the desired location in the formation of interest to simulate the first parameter by using a selected flow model;
• calculate a parameter of a curve misfit based, at least in part, on the obtained data and simulated first parameter;
• invert the obtained data to update the second parameter, wherein inverting the obtained data comprises using a method selected from the group consisting of a deterministic approach, a probabilistic approach, and an evolutionary approach;
• optimize a curve match of the obtained data and the simulated first parameter to determine a matrix through deterministic or probabilistic approaches, and
• optimize one or more aspects of performance of one or more operations of the formation tester within a pre-determined time based, at least in part, on one or more parameters of the optimized curve match.

A method of estimating a desired parameter of a formation of interest comprising:

• measuring a first parameter of the formation of interest, by a formation tester;
• using a relationship between the first parameter of the formation of interest and the desired parameter of the formation of interest to obtain an estimate of the desired parameter of the formation of interest to simulate the first parameter by using a selected flow model;
• calculating a parameter of a curve misfit based, at least in part on the first parameter and the simulated first parameter, wherein using the relationship between the first parameter of the formation of interest and the desired parameter of the formation of interest comprises inverting the first parameter of the formation of interest using a method selected from a group consisting of a deterministic approach, a probabilistic approach, and an evolutionary approach to update the desired parameter of the formation of interest;
• optimizing a curve match of the first parameter of the formation of interest and the simulated first parameter to determine a matrix through deterministic or probabilistic approaches;
• and
• optimizing one or more aspects of performance of one or more operations of the formation tester within pre-determined time based, at least in part, on one or more parameters of the optimized curve match.