Computing a calibration term based on combining divergence data and seismic data

摘要

Divergence data is received from a divergence sensor and seismic data is received from seismic sensors, where the divergence sensor and seismic sensors are part of a sensor assembly. A calibration term is computed based on combining the divergence data and the seismic data, where the calibration term includes a first parameter that is related to a characteristic of the sensor assembly, and a second parameter that is related to a characteristic of a near-surface subterranean medium.

主权项

1. A method comprising:
receiving divergence data from a divergence sensor and seismic data from seismic sensors, wherein the divergence sensor and seismic sensors are part of a sensor assembly, and wherein the seismic data includes an inline propagating wavefield and a crossline propagating wavefield; determining a first product of inline horizontal slowness and the inline propagating wavefield using forward and inverse tau-p transform or F-K transform in an inline direction; determining a second product of crossline horizontal slowness and the crossline wavefield using forward and inverse tau-p transform or F-K transform in the crossline direction; and computing, by one or more processors, a calibration term by taking a ratio of the divergence data to a sum of the first and the second products, wherein the calibration term includes a first parameter that is related to a characteristic of the sensor assembly, and a second parameter that is related to a characteristic of a near-surface subterranean medium.