Multi-wave Joint Attributes Extraction And Hydrocarbon Prediction

The multi-wave and multi-component seismic exploration is an important technology applied to the study of comprehensive reservoir geophysics. This new geophysical technology of multi-wave and multi-component can not only bring us the mutual verification of multi-wave information, but its deeper effect is integrated utilization of multi-wave and multi-component data to directly extract joint attributes related to hydrocarbon for reservoir prediction and hydrocarbon prediction. The traditional method of attributes extraction is only applied to one single seismic trace, without consideration of the transverse variation of reservoir, and just exacts one or several characteristics of seismic waveform. Therefore, it can not comprehensively exploit the seismic waveform. For the raised recovery in the latter period of oilfield development, we need to improve the traditional method for the more and more complicated and difficult exploration.To solve the lack of transverse changes in conventional attributes extraction, we attend the conventional Hilbert transform from single time domain to time-spatial domain make 2-D analytical signal measures applied to seismic data, and contain the lateral variation of seismic data resulted from spatial change of sedimentary facies of geological structure for hydrocarbon prediction. Combined with the influence of hydrocarbon to seismic signal and logging information, we use 2-D time frequency analysis to find a certain frequency band in which the difference between hydrocarbon and water is the biggest, named"the favorable frequency band", and then extract multi-wave seismic attributes from the seismic data in the favorable frequency band for hydrocarbon prediction. Based on the reflection feature of hydrocarbon on practical multi-wave data, we introduced the relative change of R p Rps, i.e., to outburst the hydrocarbon anomaly for hydrocarbon prediction. For the comprehensive use of seismic waveform, combined with grey inherent of geophysical exploration, we adopt the method of extracting the grey abnormal attribute from the seismic waveform directly to comprehensively exploit the waveform information for the purpose of hydrocarbon prediction. To solve the lack of theoretical foundation of multi-wave combination, based on the petrophysical analysis of target zone, we use multi-wave joint ratio attributes with physical significance for hydrocarbon prediction.Applying the above-mentioned multi-wave joint attributes to the practical multi-wave data of some interbedded thin layers zone in Shengli Oilfield, the actual data processing results show that the prediction of multi-wave joint attributes not only inosculates the structural map and oil area map of substratum, but also corresponds well with logging interpretation to the target zone of interbedded thin layers of only ten meters thick with the help of lateral information and comprehensive utilization of seismic waveform. Therefore, it verifies the feasibility and validity of the multi-wave joint attributes.