Bessie Region Prestack Joint Inversion Of Seismic And Sandstone Reservoir Identification Technology Poststack

Seismic studies have been deepened into reservoir evaluations from geological structures.Seismic studies are also from macro to micro. Lithological characters and physical propertiesin seismic data must be revealed through variety ways. Reservoir prediction using seismic is acore technology in reservoir geophysics, which is extremely important in the process. Whilethe major reservoir Nantun in Huo12survey was deposited, the Beier Depression was rapidsubsidence and a fan-delta moving into the lake. Reservoirs are mainly siltstone. Reservoirsand non-reservoirs difference in impedance is small. It is difficult to detect reservoirs usingconventional inversions. Slopes of a half graben with phase changing fast, thin horizons,large depths, poor physical properties, low productivities, hydrocarbon reservoir prediction isdifficult. Reservoirs have many layers in a vertical direction, each layer is thin. The thinsandstones are very difficult to predict because of seismic resolutions. Simultaneouslyaffected by surrounding rocks, rock physics sensitive parameter selection is very difficult. Inresponse to these technical difficulties, making full use of seismic data, we used the seven keytechnologies: impedance inversion, elimination compaction effect, high frequency resolutionprocessing, geostatistical inversion, decomposing frequency and physical propertiesinversion, attenuation analysis, LithSI fluid probability forecast. We form three predictionworkflows that are suitable for geological characteristics of the area’s lithology, physicalproperties and fluid. Comparing to previous work and reservoir predictions, we achieve threemajor innovations:(1) the post-stack impedance inversion, high frequency resolutionprocessing, elimination compaction effect and geostatistical inversion are integratedstep-by-step to improve forecasting accuracy in sandstones.(2) The pre-stack inversion andthe decomposing frequency inversion are combined in the region to carry out the physicalproperties of porosity inversion.(3) The new generation LithSI lithology and fluid probabilityprediction techniques are used for fluid forecast.