Abstract
Расчет значений пористости из инверсии сейсмических данных после суммирования
Highlights
In general conventional seismic interpretation entails picking and tracking laterally consistent seismic reflectors for the purpose of mapping horizon of interest, geological structures, stratigraphy and reservoir architecture
Porosity predicted by transformation of Acoustic impedance (AI) shows 30 % whereas direct inversion estimates 25 %
The high impedance zones observed in the seismic section of K-G basin having source rock potential show relatively less porosity compared to the porosity of low impedance zones
Summary
In general conventional seismic interpretation entails picking and tracking laterally consistent seismic reflectors for the purpose of mapping horizon of interest, geological structures, stratigraphy and reservoir architecture. Acoustic impedance (AI) mapping is a common approach for inversion of post-stack seismic data to delineate reservoir properties. The shallow offshore area (Figure 1) located at the north-eastern part of K-G basin is considered for porosity prediction from 2D post-stack seismic data.The study area contains sediments of Gollapalli Sandstone, Tirupati Sandstone and Raghavapuram Shale formations of Cretaceous age. The inverted acoustic impedance for high resistivity shale (HG-HR) sequence Post-stack Seismic Inversion: frequency model and a wavelet estimated from the data
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