Premium
A STABLE AND FLEXIBLE PROCEDURE FOR THE INVERSE MODELLING OF SEISMIC FIRST ARRIVALS 1
Author(s) -
OLSEN KIM BAK
Publication year - 1989
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1111/j.1365-2478.1989.tb02217.x
Subject(s) - a priori and a posteriori , geology , reflection (computer programming) , inversion (geology) , seismic survey , synthetic data , seismology , seismic inversion , inverse problem , regional geology , ray tracing (physics) , data processing , normal moveout , stacking , economic geology , data set , set (abstract data type) , inverse , algorithm , least squares function approximation , computer science , metamorphic petrology , optics , azimuth , tectonics , geometry , statistics , artificial intelligence , philosophy , mathematics , estimator , mathematical analysis , offset (computer science) , operating system , epistemology , programming language , physics , nuclear magnetic resonance
Multiple coverage reflection seismic data provide an important source of information concerning the subsurface. However, due to the stacking and migration techniques used in the processing, the first arrivals are muted and details about the upper part of the sections are generally lost. This paper describes a computerized method for the inverse modelling of laterally varying velocities and shallow depths which are not sufficiently resolved in the reflection seismic processing. The method minimizes, in a least‐squares manner, the difference between the observed first arrivals, picked from the reflection traces, and a set of synthetic traveltimes, calculated by ray tracing in a cell model. An initial model, e.g. from a priori knowledge or the application of a conventional interpretation method, is refined iteratively until no further essential improvement can be achieved. Traditional first‐arrival inversion methods cannot, in general, provide such flexible modelling. The technique is successfully tested on synthetic data as well as on first arrivals picked automatically from the records of a reflection seismic survey in North Jutland, Denmark.