US 11,767,755 B2
Predicting clean fluid composition and properties with a rapid formation tester pumpout
Peter Ojo Olapade, Richmond, TX (US); Bin Dai, Spring, TX (US); and Christopher Michael Jones, Katy, TX (US)
Assigned to Halliburton Energy Services, Inc., Houston, TX (US)
Filed by Halliburton Energy Services, Inc., Houston, TX (US)
Filed on May 17, 2022, as Appl. No. 17/746,637.
Application 17/746,637 is a continuation of application No. 16/488,919, granted, now 11,371,345, previously published as PCT/US2018/054689, filed on Oct. 5, 2018.
Prior Publication US 2022/0275724 A1, Sep. 1, 2022
Int. Cl. E21B 49/08 (2006.01); E21B 43/12 (2006.01); G01N 21/3577 (2014.01); G01N 21/359 (2014.01); G01N 33/28 (2006.01)
CPC E21B 49/081 (2013.01) [E21B 43/121 (2013.01); E21B 49/087 (2013.01); E21B 49/0875 (2020.05); G01N 21/359 (2013.01); G01N 21/3577 (2013.01); G01N 33/2841 (2013.01)] 20 Claims
OG exemplary drawing
 
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 a fluid analysis module;
obtaining a fluid sample that has a contamination level for which a fluid property is not representative of a pure formation fluid with the downhole fluid sampling tool;
identifying input parameters from at least one sensor response on the fluid analysis module, wherein the input parameters comprise fluid properties indicative of the fluid sample and mud filtrate composition;
applying a robust regression method on at least one sensor response, wherein the robust regression method is computed as scoresfit=A+BXvβ, where A and B are constants determined by a regression method, v is a formation fluid pumpout accumulated volume, and β is a density decay rate; and
predicting a clean fluid sample of the fluid sample using a dimensional reduction analysis and an equation of state, wherein the equation of state utilizes one or more component mole fractions of the fluid sample.