System and method for providing real-time prediction and mitigation of seismically-induced effects in complex systems

Abstract

Providing real-time prediction and mitigation of seismically-induced effects comprises receiving measured seismic data; pre-processing to transform to a uniform format; inputting the preprocessed data into a predictive model; training the predictive model to learn hidden patterns in recorded seismic data, and extract underlying relations between the received measured seismic data and a predicted response at a location of interest at further time instance, as described by the equation: u(t+τ)=model(u(t), u(t), u(t), . . . , u(t)), where t is current time instance, τ is lead time, u(t) represents digital signal recorded by the iseismic sensor, and N is overall number of sensors in a sensor array that provided the measured seismic data; receiving new real-time seismic data and pre-processing the received new real-time seismic data into the uniform format; inputting the data into the predictive model; and predicting future response at the location of interest in lead time of τ ahead: u(t+τ).