US 11,914,089 B2
Method and device for determining sonic slowness
Bassem Khadhraoui, Marseilles (FR); Lu Duc Duong Lam, Montpellier (FR); Ridvan Akkurt, Denver, CO (US); Hiroaki Yamamoto, Sugar Land, TX (US); Erik Wielemaker, The Hague (NL); and Saad Kisra, Calgary (CA)
Assigned to SCHLUMBERGER TECHNOLOGY CORPORATION, Sugar Land, TX (US)
Appl. No. 17/250,941
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
PCT Filed Oct. 1, 2019, PCT No. PCT/US2019/053937
§ 371(c)(1), (2) Date Mar. 31, 2021,
PCT Pub. No. WO2020/072404, PCT Pub. Date Apr. 9, 2021.
Claims priority of provisional application 62/739,580, filed on Oct. 1, 2018.
Prior Publication US 2022/0018983 A1, Jan. 20, 2022
Int. Cl. G01V 1/30 (2006.01); G01V 1/34 (2006.01); G06N 3/04 (2023.01)
CPC G01V 1/303 (2013.01) [G01V 1/345 (2013.01); G06N 3/04 (2013.01); G01V 2210/6222 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method for determining sonic slowness, comprising:
accessing sonic logging data including a sonic waveform associated with a plurality of shot gathers;
applying a transformation operator to the sonic logging data to provide a transformed sonic image, the transformation operator including at least one of a short time average long time average (STA/LTA) operator, a phase shift operator, and a deconvolution operator;
performing a machine learning process using the transformed sonic image to determine a sonic slowness associated with the sonic logging data; and
providing the sonic slowness as an output.