Abstract:Hydrocarbon detection methods based on only amplitude and frequency information have serious multi-solution problems.Therefore,we propose a hydrocarbon detection approach with fluid mobility and time-frequency phase fusion based on sparse inversion complex spectral decomposition,which introduces the phase information to supplement the amplitude and frequency information.So this method can make full use of dynamic characteristics to detect oil and gas,and reduce multi-solutions and uncertainty of hydrocarbon detection.The proposed hydrocarbon detection approach is applied to synthetic and real data.The processing results show that the proposed approach achieves high resolution and good indications of hydrocarbon-bearing reservoirs and reduces multi-solutions and uncertainty of hydrocarbon detection,which demonstrates a bright application prospect.
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