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

A method for providing real-time prediction and mitigation of seismically-induced effects, comprising the steps of:

• receiving measured seismic data, wherein the measured seismic data contains dynamic data and temporal data;
• pre-processing the measured seismic data to transform the measured seismic data to a uniform format;
• inputting the preprocessed data into a predictive model;
• training the predictive model so that the predictive model learns hidden patterns in recorded seismic data, and extracts 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 uIpred(t+τ)=model(uI(t), uM1(t), uM2(t), . . . , uMN (t)) where t is the current time instance, τ is the lead time, uMi(t) represents the digital signal recorded by the ith seismic sensor, and N is the overall number of sensors in a sensors 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 pre-processed received new real-time seismic data into the predictive model;
• and
• the predictive model predicting future response at the location of interest in lead time of τ ahead:
• uIpred(t+τ).