Study And Application Of Information Reconstruction Of Reservoir Prediction Technology

Reservoir prediction technique has become a core technique in reservoirmanagement and characterization. The information of seismic data, well logand geology information reasonably utilized has offered approved techniqueguarantee for exploration of oil and gas field. First of all, the paper gives asystematicsummaryofthebasictheoryof APNN andEAPNN, andemulatesconvergence for APNN and EAPNN. On the basic of EAPNN, it makes anexample of signal separation and imitation including no noise and containingnoise. In view of the seismic signal feature, we draw EAPNN method intoseismic domain, trying to separate weak signal of models and seismic data.On the basic of this method, unitingthe method of filter, strengthen the weaksignal and predominate reflectance signature of the special geologic bodyclearly. And on the basis of embankment sandstone reservoir feature that issubmerged by background information in ES4 of GAO 8 region inDONGYING sunken, using this method to identify the embankmentsandstone reservoir, to strengthen the feeble signal and predominatethrough-going feature of sands. Secondly, we synthesize some logs (e.g. SPlog, GR log and AC log) to rebuild a new log in the light of the rule of the maxsignal-to-noiseofoutput.Impedance inversion is the main technology of reservoir predictiontechnique. Finally, we process the seismic data and well logs applying themethods above-mentioned and inverse impedance utilizing JASON inversionsoftware. By means of comparison of inversion results, we obtain that theprocessed results can show the divergence feature of reservoir impedancepreferably.