US 12,461,270 B2
Streaming of sub-titled data and processing model for fiber optics seismic operation
Takashi Mizuno, Houston, TX (US); and Joel Herve Le Calvez, Richmond, TX (US)
Assigned to SCHLUMBERGER TECHNOLOGY CORPORATION, Sugar Land, TX (US)
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
Filed on Apr. 18, 2024, as Appl. No. 18/639,555.
Claims priority of provisional application 63/496,742, filed on Apr. 18, 2023.
Prior Publication US 2024/0369730 A1, Nov. 7, 2024
Int. Cl. G01V 1/50 (2006.01); E21B 49/00 (2006.01); G01V 1/22 (2006.01)
CPC G01V 1/50 (2013.01) [E21B 49/00 (2013.01); G01V 1/226 (2013.01); G01V 2210/322 (2013.01); G01V 2210/34 (2013.01)] 11 Claims
OG exemplary drawing
 
1. A method comprising:
disposing a plurality of sensors within a borehole extending into a subterranean formation at an oil and gas well site, wherein the plurality of sensors comprise fiber-optic sensors;
receiving, by a processor, raw seismic data from the plurality of sensors, wherein the raw seismic data comprises distributed acoustic sensing (DAS) data collected by the plurality of sensors;
processing, by the processor, the raw seismic data to generate a plurality of processed seismic data waveforms and metadata associated with the plurality of processed seismic data waveforms, the processing the raw seismic data comprising:
stacking neighboring traces of the raw seismic data to cancel noise in a first processed seismic waveform; and
applying deep learning technology to the raw seismic data to identify a potential arrival of a seismic signal in a second processed seismic waveform;
combining, by the processor, the plurality of processed seismic data waveforms and the metadata associated with the plurality of processed seismic data waveforms to generate an output file; and
streaming, by the processor, the output file to an off-site data processing center that is located remotely from the oil and gas well site.