Geodesy

Tectonics

Algorithm

Inverse transform sampling

Regularization (linguistics)

Telecommunications

Computer science

Surface wave

Seismology

Geology

Offset (computer science)

Prestack

Inversion (geology)

Mathematics

Mathematical analysis

Artificial intelligence

Geometry

Remote sensing

Azimuth

Seismic inversion

Programming language

Geophysics

Inverse problem

IEEE Transactions on Geoscience and Remote Sensing

Reconstructing an accurate and high-resolution subsurface model is attractive in the fields of both geology and seismology. However, due to the band-limited characteristics of seismic data, the inversion greatly depends on the reliability of the initial model. A fairly acceptable initial model could lay a good foundation for seismic inversion. In this article, we first introduce a well-log interpolation method with the local slope as a constraint for building a high-fidelity starting model in prestack amplitude versus offset/angle (AVO/AVA) inversion. First, we briefly review the basic theory of general seismic inversion. Then, instead of using the conventional preconditioned least-squares method, we introduce shaping regularization theory into the geological structure-guided well-log interpolation to accelerate the convergence. We use the plane-wave destruction (PWD) algorithm to extract the slope attribute from seismic data, images, or velocity models. The slope is used as the constraint to solve the inverse problem based on the shaping regularization method. Numerical examples demonstrate that the proposed initial model building method performs better than the conventional ones. It greatly improves the accuracy of inversion results. Furthermore, we apply the proposed model building method to the inverse problems of AVO/AVA inversion and reservoir parameter estimation of several field data sets for the first time, which demonstrate encouraging performance.

Geological Structure-Guided Initial Model Building for Prestack AVO/AVA Inversion