Localised Linear 2-D Inversion by Data Pre-conditioning in the Time-domain

In seismic, full-waveform inversion is a rather new approach since the scale of the problem to date, has not allowed for really satisfactory implementations yet. This is mainly due to the size of seismic data sets and the limitation in computational resources, as well as to the high ill-posedness of the problem. In this paper we propose a data pre-conditioning scheme that allows splitting up of the large scale inversion problem into many local inversions. In this way, it is expected that the computational limitation and the ill-posedness can be handled by present-day computers. By combining the local inversion results, a global property model of the subsurface is obtained.