An Effective Thin Reservoir Identification Method for Fine Oilfield Development

Thin reservoirs prediction method such as spectral inversion has drawn considerable attention in recent years. In order to avoid extracting wavelets within the whole field area purposeless and make filtered data preferable fidelity well signal-to-noise ratio, an effective structural constrained thin reservoir description which combines wide-band Ricker wavelet filtering technology been proposed this paper. The given here is more credible suitable for of middle-deep reservoirs. We take LD-A structure Bohai Bay Basin example show implement our method. Several sets sand layers are hardly recognize originally have finally identified. Also, with application method, a high-production LD-B identified accurately, provides information subsequent fine oil exploration development.