In the desert areas of Western China,the rolling sand dunes cause substantial static correction problems.Although conventional time-depth curve static correction technology can resolve static correction when the dune has a single cause and homogenous physical properties,it produces significant errors when applied to areas where the dune has diverse causes or desert edges.Based on the geostatistical analysis of microlog data,a point-by-point time-depth curve static correction method is proposed.First,this method reveals a clear spatial distribution related correlation between the sand dune thickness and the seismic wave vertical transmission time,based on a normal distribution test and variance function analysis.The depth-time scatter data of shot and receiving points are obtained using the Kriging interpolation method.Next,all discrete points are fitted using the least squares method to achieve a time-depth curve measuring board of each shot point and detection point.Finally,the static correction values are calculated and cross-validated.By taking micro logging data from 64 wells from the S1X work area as the control point,the application results showed that the static correction values obtained by the proposed method are consistent with those obtained by micro logging.The stacked imaging with these static correction values was superior to that obtained with the conventional time-depth curve static correction method.
国家自然科学基金项目(NSFC 41674095)、天然气地质四川省重点实验室开放基金项目(2015trqdz03)共同资助。