Streaming of sub-titled data and processing model for fiber optics seismic operation

A method comprising:

• disposing a plurality of sensors within a borehole extending into a subterranean formation at an oil and gas well site;
• coupling the plurality of sensors to an interrogator, wherein the plurality of sensors comprise fiber-optic sensors;
• providing, by the interrogator, light signals to the plurality of sensors;
• detecting and recording, by the interrogator, back scattered light signals from the plurality of sensors;
• receiving, by a processor, raw seismic data from 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.