Noise model estimation in multimeasurement data

A device for estimating a spectral noise power of multi-measurement seismic data received from a multi-dimensional seismic sensor array having multiple seismic sensors, the device comprising:

• a processor;
• and
• memory having instructions stored thereon that, when executed by the processor, cause the processor to:
• receive a shot record of the multi-measurement seismic data in time-domain;
• partition the shot record into a plurality of overlapping time-space windows;
• compute a frequency-domain spectrum for each time-space window;
• compute a signal presence probability for each time-space window based on the frequency spectrum computed for each time-space window and previous information computed for a previous time-space window;
• and
• estimate the spectral noise power of the current time-space window based on the frequency spectrum for the current time-space window, the signal presence probability computed for the current time-space window, and a previously estimated spectral noise power computed for the previous time-space window.

A non-transitory computer-readable medium having stored thereon a plurality of computer-executable instructions which, when executed by a computer, cause the computer to estimate a spectral noise power of multi-measurement seismic data received from a multi-dimensional seismic sensor array having multiple seismic sensors, wherein the computer-executable instructions that cause the computer to estimate the spectral noise power comprises computer-executable instructions that cause the computer to:

• receive a shot record of the multi-measurement seismic data in time-domain;
• partition the shot record into a plurality of overlapping time-space windows;
• compute a frequency-domain spectrum for a current time-space window;
• compute a signal presence probability for the current time-space window based on the frequency-domain spectrum and prior probabilities of signal presence and absence for the current time-space window;
• estimate the spectral noise power of the current time-space window based on the frequency spectrum for the current time-space window and the signal presence probability computed for the current time-space window;
• and
• iteratively update a collective spectral noise power of the current time-space window by recursively estimating the spectral noise power of the current time-space window based on the frequency spectrum for the current time-space window, the signal presence probability computed for the current time-space window, and a previously estimated spectral noise power of a previous time-space window.