There is considered a general approach to using a priori information in the problems of decomposition of seismic signals, which are essential in the solution of the inverse seismic problems. We propose an effective algorithm, which substantially allowed to reduce the volume of a priori information needed in the real data processing, and during the preparation of data for the solution of inverse dynamic seismic problems. The algorithm is based on the analysis of multivalued components, which determine the volume and structure of a priori information needed to solve the decomposition problem. The algorithm is realized in two steps. In the first stage we define the solution using pseudo a priori information, ensuring stability and uniqueness of the solution. In the second step we define a minimum quantity of available a priori information, which allows to obtain the exact solution of the problem.
processing and interpretation of seismic data; signal decomposition; a priori information; inverse seismic problem
