Multichannel Predictive Deconvolution Method in Acoustic Reflection Well Logging

As an exploration method that has higher resolution compared to the surface seismic exploration and larger lateral depth of investigation compared to traditional acoustic well logging, acoustic reflection well logging has attracted much attention recently. Under acoustic well logging conditions, the borehole filled with drilling fluid forms a waveguide which trap most the energy triggered by the source, which lead to several periods duration of the waveform. For this reason, we would get several reflect events even there’s only one reflector. This problem in acoustic reflection well logging is very similar to the wavelet compression problem in seismic exploration data processing where deconvolution is used to solve it. We find that direct multichannel predictive deconvolution can compress the reflect events effectively in acoustic reflection well logging data after we processed a number data sets. Direct multichannel predictive deconvolution method integrates the adjacent traces to predict the filter operator while the commonly used deconvolution methods only use the single trace which is fit for the few traces (8 traces) in acoustic well logging. Finally the processing examples of synthetic reflection logs by finite difference modeling and field recorded acoustic reflection imaging logs from a Chinese oil field are presented.