US 11,836,109 B2
Fluid optical database reconstruction methods and applications thereof
Dingding Chen, Tomball, TX (US); Bin Dai, Spring, TX (US); Christopher Michael Jones, Houston, TX (US); Jing Shen, Houston, TX (US); and Anthony Van Zuilekom, Houston, TX (US)
Assigned to Halliburton Energy Services, Inc., Houston, TX (US)
Filed by Halliburton Energy Services, Inc., Houston, TX (US)
Filed on Sep. 19, 2022, as Appl. No. 17/947,690.
Application 17/947,690 is a continuation of application No. 16/347,243, granted, now 11,449,462, previously published as PCT/US2018/040791, filed on Jul. 3, 2018.
Prior Publication US 2023/0020895 A1, Jan. 19, 2023
Int. Cl. G01N 21/3577 (2014.01); G01N 21/94 (2006.01); G06F 16/11 (2019.01); E21B 49/08 (2006.01); G01N 33/28 (2006.01); G01V 8/10 (2006.01); G06N 3/08 (2023.01); G06N 3/045 (2023.01)
CPC G06F 16/122 (2019.01) [E21B 49/08 (2013.01); G01N 21/3577 (2013.01); G01N 21/94 (2013.01); G01N 33/2823 (2013.01); G01V 8/10 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G01N 2201/12 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method comprising:
receiving fluid property data of a fluid;
receiving material property data for a material in the fluid, wherein the fluid comprises one or more materials;
detecting material sensor data from at least one sensor; and
applying an inverse model and a forward model to the fluid property data and the material property data to provide, at least in part, synthetic spectral channel data for the materials.