Sparse approximation for estimation of acoustic properties of the section

Abstract

Introduction. One of the key tasks of seismic exploration is to restore the distribution of properties across the section. This publication proposes a new method for predicting reflection coefficients from the input wave field. The availability of information about the change in reflection coefficients allows us to proceed to the estimation of the relative change in acoustic impedance across the section.

Goal. The aim of the work is to develop and test a new technology for estimating the relative change in acoustic impedance based on a wave field using an adapted Lasso regression method.

Materials and methods. To test the proposed approach, both synthetic data generated in the framework and real data obtained at one of the fields of Eastern Siberia were used.

Results. As a result of the conducted research, a new approach to solving the inverse problem of seismic exploration in an acoustic formulation is proposed. The developed algorithm has shown its effectiveness on real data, making it possible to improve the quality of the forecast of acoustic impedance in the section.

Conclusion. The results allow us to conclude about the effectiveness of the proposed approach. As a result of the application of the new technology, it was possible to increase the accuracy of the acoustic impedance prediction.