纵横波地震数据联合的河道自动识别方法OA

Channel identification is crucial for predicting fluvial facies reservoirs.However,when the P-wave impedance contrast between channel sandstones and surrounding rocks is minimal,it is difficult to use only post-stack P-wave seismic data for channel identification.S-wave data can effectively enhance the reliability of pre-dicting the spatial distribution of channels.However,the combined identification process of P-wave and S-wave involves challenges such as difficult parameter selection,high subjectivity,and extended working cycles,leading to inefficiencies and reduced reliability.This paper proposes an automatic channel identification method-based on the joint P-wave and S-wave seismic data.First,to address the issue of insufficient sample data,it puts forward a method for automatically generating synthetic forward modeling samples of 3D channel geologi-cal models based on actual data interpretation and channel interpretation results,effectively expanding the sample data set.Subsequently,a new 3D automatic channel identification network structure is then designed,which effectively integrates P-wave and S-wave seismic data,enhancing the reliability of the identification re-sults.Finally,the proposed method is applied to identify tight gas channel sandstones in a work area in south-western China.Compared with traditional seismic attribute analysis and intelligent identification results relying on a single data type,the proposed method demonstrates higher efficiency and reliability,validating its applicability.