作者: N. Hendrick , S. Hearn
DOI:
关键词: Connection (mathematics) 、 Operations research 、 Simple (abstract algebra) 、 Algorithm 、 Computer science 、 Eigenvalues and eigenvectors 、 Time domain 、 Single station 、 Reflection (physics) 、 Computation 、 Test functions for optimization
摘要: Polarisation analysis is arguably the fundamental vector-processing technique applicable to multi-component reflection data. The single-station, time-domain approach central polarisation and provides conceptual basis for multi-station alternative-domain extensions. This paper rationalises a number of apparently distinct algorithms that have appeared in literature. A connection between methods becomes apparent when each algorithm approached terms optimising vector test function. For relatively simple functions, optimisation leads an eigenvalue solution normal equations. More complicated functions are optimised using iterative search procedures. VSP dataset comparative illustration performance various examined. parameters computed by majority strikingly similar, despite significant differences computation approaches. eigenanalysis method favoured standard high-volume datasets envisaged future seismic reflection.