Study of seismic attributes recognition method of high quality igneous rock reservoir

Aimed target area is deeply buried, complex lithology, dual media, reservoir development degree controlled by a variety of factors, meanwhile, lateral thickness and lithofacies change rapidly, strata formation poor. Therefore, igneous rock has difficulty in predicting, since seismic complicated to track trace, attribute analysis hard determine the time window, inversion modeling requires sophisticated. By analyzing, basalt research accounts for principal component rock, however, rocks with relatively developed reservoirs are mostly distributed trachyte breccia which good productivity. The results petrophysical study indicate that frequency-dependent AVO method an important means identify fluid prediction, notwithstanding it difficult distinguish high-quality barely P-wave impedance. Consequently, AVOF appropriately proposed reservoir. Foremost, eliminating effects algorithm,frequency, spectrum balancing other then put improved three-term Aki&Richards applying purpose carrying out identification reservoirs.