A method for improving deep seismic data resolution by inverse Q filtering

Abstract

The present application relates to the technical field of geophysical exploration, and discloses a method for improving deep seismic data resolution, which comprises the following steps: obtaining seismic record data and corresponding stratum quality factor Q field of a target work area; constructing a time-varying iteration number function; constructing an iteration low-pass filter correction amount of an amplitude compensation operator based on the time-varying iteration number function and a preset low-pass filter factor; performing first iteration correction on an exponential term of a theoretical amplitude compensation operator by using the iteration low-pass filter correction amount to generate an intermediate amplitude compensation operator; performing second correction on the intermediate amplitude compensation operator to generate a target double-iteration amplitude compensation operator; and performing anti-Q filter compensation operation on the seismic record data based on the target double-iteration amplitude compensation operator and a preset phase compensation operator to output a high-resolution seismic profile. The present application provides a double-iteration anti-Q filter method which takes into account both deep seismic data resolution improvement and high-frequency noise suppression.

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