【摘要】 针对地面微地震监测缺乏近地表速度资料和由于信噪比较低使得各条测线上初至走时拾取不全的问题,研究了利用射孔资料、声波测井资料及微地震事件监测资料进行地面微地震资料静校正的方法。讨论了初至拾取方法,对于不连续道的初至拾取,提出了用引导道方法拾取射孔事件和射孔点附近强微地震事件在各条测线的初至;通过声波测井资料建立基准面以下地层的初始速度模型,计算射孔事件的理论走时,进而求取初始静校正量;针对浅部和深部地层速度变化对初至影响程度的不同,设计了浅部二维速度模型和深部一维速度模型,根据射孔事件的实际初至运用反演方法校正初始速度模型,再用反演校正后的速度模型来正演射孔事件理论走时,求取总静校正量。最后,通过实际资料处理验证了静校正方法的应用效果。更多还原

【Abstract】 Surface microseismic monitoring lacks near-surface velocity data and first break picked in every trace caused by low S/N;therefore,we use perforating data,logging data and microseismic event monitoring data to study the static correction method for surface microseismic data.For the picking of discontinuous first arrival,we put forward to utilize guide trace method to pick up the first arrival at every trace of perforating event and the strong microseismic event around the perforating point.By using acoustic logging data,the initial velocity model of the formation below the datum is built to calculate the theoretical traveltime and initial statics.Aiming at the different influence of the velocity variation in shallow and deep layers,we design 2D velocity model for shallow layer and 1D velocity model for deep layers;then,in terms of the actual first arrival of perforating event,the initial velocity mdoel is corrected by inversion method,then the corrected velocity model is adopted to simulating the theoretical traveltime of perforating event and calculate the total statics.Finally,actual data processing result proves the effect of the method.更多还原