Distributed acoustic sensing (DAS) system for acoustic event detection using machine learning network selected by game theoretic model and related methods

A distributed acoustic sensing (DAS) device comprising:

• a phase-sensitive optical time domain reflectometer (φ-OTDR) to be coupled to an optical fiber;
• and
• a processor cooperating with the φ-OTDR and configured to
• train a plurality of machine learning networks with DAS data from the φ-OTDR based upon different respective optimizers,
• select a trained machine learning network from among the plurality of trained machine learning networks based upon a game theoretic model, and
• generate an acoustic event report from the DAS data using the selected trained machine learning network.

A distributed acoustic sensing (DAS) method comprising:

• training a plurality of machine learning networks using a processor with DAS data from a phase-sensitive optical time domain reflectometer (φ-OTDR) coupled to an optical fiber based upon different respective optimizers;
• selecting a trained machine learning network from among the plurality of trained machine learning networks using the processor based upon a game theoretic model;
• and
• generating an acoustic event report from the DAS data using the processor and the selected trained machine learning network.