Two methods of carbonate collector properties forecasting by using 2D and 3D seismic data are considered. Both methods show good results despite on some troubles related with data analysis and interpretations. Data processing with using multipletrace method allows to find correlation of rift anomalies at 3D and 2D seismic data. The rift bodies are found by using the acoustic inversion of seismic data, attributive analysis and neuron network simulation. This analysis allows forecasting the collector properties for territory of 2D seismic survey using local 3D cubes. Thus if velocities and anomalies related with rift bodies are found correctly, the waives picture can be determined without artificial structures and results of rift bodies search and their properties within 3D cubes can be extended on the whole 2D seismic survey domain


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