Neural network for automated microseismic detection and location

A computer system comprising:

• a processor set;
• a set of one or more computer-readable storage media;
• and
• program instructions stored on the set of one or more storage media to cause the processor set to perform operations comprising:
• receiving a dataset from a number of real stations, wherein the dataset comprises information associated with seismic signals in a time period;
• training a neural network comprising a number of neural operators using the dataset, wherein the number of neural operators comprise a combination of neural operator layers for identifying temporal-spatial information associated with the seismic signals in the time period, and wherein the neural network further comprises a classification model and a regression model, and wherein the classification model and the regression model are trained using the dataset and the temporal-spatial information associated with the seismic signals in the time period;
• and
• detecting a number of seismic events using the trained neural network.

A computer program product comprising:

• a set of one or more computer-readable storage media;
• program instructions stored in the set of one or more computer-readable storage media to perform operations comprising:
• receiving, by a processor set, a dataset from a number of real stations, wherein the dataset comprises information associated with seismic signals in a time period;
• training, by the processor set using the dataset, a neural network comprising a number of neural operators, wherein the number of neural operators comprise a combination of neural operator layers for identifying temporal-spatial information associated with the seismic signals in the time period, and wherein the neural network further comprises a classification model and a regression model, and wherein the classification model and the regression model are trained using the dataset and the temporal-spatial information associated with the seismic signals in the time period;
• and
• detecting, by the processor set, a number of seismic events using the trained neural network.