US 11,994,644 B2
Method and apparatus for formation tester data interpretation with diverse flow models
Dingding Chen, Plano, TX (US); Mark A. Proett, Missouri City, TX (US); Li Gao, Katy, TX (US); and Christopher Michael Jones, Houston, TX (US)
Assigned to Halliburton Energy Services, Inc., Houston, TX (US)
Filed by Halliburton Energy Services, Inc., Houston, TX (US)
Filed on Sep. 21, 2021, as Appl. No. 17/480,986.
Application 17/480,986 is a continuation of application No. 14/404,328, granted, now 11,156,741, previously published as PCT/US2012/043457, filed on Jun. 21, 2012.
Prior Publication US 2022/0003892 A1, Jan. 6, 2022
Int. Cl. G01V 20/00 (2024.01); E21B 49/08 (2006.01); G06N 3/126 (2023.01); G06N 20/00 (2019.01)
CPC G01V 20/00 (2024.01) [E21B 49/087 (2013.01); G06N 3/126 (2013.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method of determining a parameter of a formation of interest at a desired location comprising:
directing a formation tester to the desired location in the formation of interest;
obtaining data from the 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;
initializing 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;
calculating a parameter of a curve misfit based, at least in part, on the obtained data and simulated first parameter;
inverting the obtained data to update the second parameter, wherein inverting the obtained data comprises using a method selected from a group consisting of a deterministic approach, a probabilistic approach, and an evolutionary approach;
optimizing a curve match of the obtained data and the simulated first parameter to determine a matrix in part by at least one of deterministic or probabilistic and evolutionary approaches; and
optimizing 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.