US 11,994,647 B2
Compensated formation saturation using assisted physics and neural networks
Mayir Mamtimin, Spring, TX (US); Jeffrey James Crawford, Katy, TX (US); and Weijun Guo, Houston, TX (US)
Assigned to HALLIBURTON ENERGY SERVICES, INC., Houston, TX (US)
Filed by HALLIBURTON ENERGY SERVICES, INC., Houston, TX (US)
Filed on Dec. 14, 2021, as Appl. No. 17/550,588.
Prior Publication US 2023/0184989 A1, Jun. 15, 2023
Int. Cl. G01V 5/10 (2006.01)
CPC G01V 5/101 (2013.01) 20 Claims
OG exemplary drawing
 
1. A method comprising:
accessing inelastic gamma spectrum data for an inelastic gamma spectrum generated downhole in a wellbore;
accessing capture gamma spectrum data for one or more capture gamma spectrums generated downhole in the wellbore;
applying a model that accounts for holdup measurement to both the inelastic gamma spectrum data and the capture gamma spectrum data to identify a compensated oil saturation for a formation surrounding at least a portion of the wellbore based on both the inelastic gamma spectrum and the one or more capture gamma spectrums.