Strong Background Reflection Attenuation Gradient Extraction Method Based on Sparse Inversion

The inner fluid identification of buried hill reservoir is greatly affected by the overlying strong reflection layer. In order to effectively identify the inner fluid of buried hill, the strong reflection energy of the overlying strata of buried hill is identified by sparse inversion method, and the strong reflection axis of buried hill top is suppressed by using horizon constraint and attenuation parameter to highlight the reflection characteristics of buried hill reservoir. In the removal of strong inverse section, the high-precision time-frequency attenuation gradient extraction method is studied, and the sparse inversion strong reflection separation attenuation gradient extraction method for buried hill inner fluid identification is formed. Through model demonstration and actual data processing, it is shown that this method can effectively extract the information of buried hill inner fluid and identify high-quality reservoirs.