--> Fine lithology and sedimentary facies prediction of carbonate based on the amplitude attribute of converted shear wave
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Fine lithology and sedimentary facies prediction of carbonate based on the amplitude attribute of converted shear Previous HitwaveNext Hit

Abstract

Dolomite reservoirs are generally developed in the Lower Permian limestone strata in Sichuan basin. In the seismic section of PP Previous HitwaveNext Hit, response of dolomite is not obvious, which limits the prediction accuracy of lithology and sedimentary facies. In order to excavate the potential of multi-Previous HitwaveNext Hit (PP and PS) seismic data in reservoir prediction, we carried out the detailed analysis of the multi-Previous HitwaveNext Hit seismic data of the target layer, it was found that the amplitude of converted shear Previous HitwaveNext Hit (PS) is generally higher than that of compressed Previous HitwaveNext Hit (PP), and this feature is more obvious in area of reservoir not developed. In order to explain it reasonably, we carried seismic forward modeling of PP and PS Previous HitwaveNext Hit with typical wells, and it turned out that the amplitude of PS Previous HitwaveNext Hit is strong while that of PP Previous HitwaveNext Hit is weak, which is consistent with the actual seismic section. Further we build lithology identification template about the three major lithology such as argillaceous limestone, limestone and dolomite by means of petrophysical modeling, also performed fine lithology interpretation with logging data. By the above analysis, we can get that the feature of stronger amplitude of PS Previous HitwaveNext Hit while strong amplitude of PP Previous HitwaveNext Hit is the response of argillaceous limestone contained in limestone, which can be interpreted as the argillaceous limestone development area, indicating the low-energy beach or the beach sea microfacies. And the feature of stong amplitude of PS Previous HitwaveNext Hit while weak amplitude of PP Previous HitwaveNext Hit is the response of dolomite contained in limestone, which can be interpreted as dolomite favorable reservoir development area, indicating the high energy beach microfacies. And the rest of other weak reflection features of PS Previous HitwaveNext Hit can be interpreted as a transition type. Based on the above understanding, we selected proper time window to extract the maximum peak amplitude of the PS Previous HitwaveNext Hit in the target layer. The high value represents area of argillaceous limestone developed, indicating the low-energy beach or the beach sea. The low value represents area of dolomite developed, indicating the high energy beach. The lithology and sedimentary microfacies distribution characteristics predicted by PS Previous HitwaveNext Hit are in good agreement with the reservoir prediction results by seismic inversion and attenuation attributes of PP Previous HitwaveNext Hit, so it can be get that PS Previous HitwaveNext Hit has obvious advantage in detailed characterizing carbonate lithology and sedimentary facies than that of traditional PP Previous HitwaveTop.