Abstract:

The early well logging curve resolution is quite low in the old oil fields，the identification to sedimentary thin bed surface is poor，which can not meet the requirement of researching reservoir textural composition，aiming at the issue，the signal deconvolution principle is applied in well logging curve processing.By means of turning deconvolution over to the extreme value of the error between expected output and actual output，the formulas are constructed，by means of well logging curve autocorrelation，the autocorrelation matrix of convolution factor is obtained，then，the formulas are solved and the deconvolution factor obtained，the blind deconvolution processing of well logging curve is fulfilled.The processing eliminates the influence of adjacent rocks and enhance high frequency energy in well logging signal frequency，a “zoomed” effect is generated in low amplitude in logging curve，which improves the identification of well logging curve to sedimentary faces.Through core data analysis，it is verified that high frequency data in deconvolution processing are of the meaning of sedimentology，the method is used in non-coring well study in field D，Peru，in Bed V，well D6，5 five-class interfaces，3 four-class interfaces and 23 three-class interfaces are recognized.

Key words: logging, blind deconvolution, reservoir texture, thin bed, resolution