Abstract:

Under the constraint of drilling and well logging，a series of techniques combined with  the drill data and territorial sedimentary facies in Lishu fault depression are taken to research the lithologic character, physical property, hydrocarbon potential of subject reservoir. These techniques involve high resolution seismic data processing techniques based on tuning-frequency-enhanced method, time-frequency analysis, seismic facies analysis technique, seismic multiple-attributes analysis technology, seismic data interpretation techniques under sequential framework, logging constrained impedance inversion, and so on. In the inversion, reconstructed-log seismic inversion technology and high-resolution inversion technology based on tuning-frequency-enhanced method are used. The method to predict reservoir physical properties based on artificial intelligence technology in seismic attribute analysis is also used. Using the above methods，we successfully predicted the spatial distribution and geometry of sand body，and recognized the subtle traps in Lishu fault depression. We completed the work of evaluation and prediction of beneficial sand in different wellblocks. The wellblocks relate to the exploration stage and development stage.This research results played a significant role in the exploration and evelopment in Lishu fault depression.

Key words: Lishu fault depression, reservoir prediction, time-frequency analysis, seismic attribute, tuning-frequency-enhanced method, reconstruction of pseudo-acoustic, seismic response