傾斜界面疊前深度偏移深度空校方法
發(fā)布時間:2018-10-19 07:07
【摘要】:為了精確刻畫地下構造形態(tài),克服由于地震偏移速度與地層實際速度差異造成的疊前深度偏移深度與鉆井深度誤差,基于幾何地震學理論,考慮成像速度和地層速度差異引起的深度誤差和位置方向變化,推導出一種實現(xiàn)疊前深度偏移資料深度域空校方法。應用不定度的主方向確定每個面元的移動方向,使處理剖面各地震反射層面與所有鉆井深度相符合,有效地提高了疊前深度偏移資料的成像精度。通過23口井構造不定度方法校正證實,該方法所成構造圖精度較高,相對誤差均小于2.3‰。
[Abstract]:In order to accurately describe the shape of underground structures and overcome the errors of depth migration and drilling depth caused by the difference between seismic migration velocity and actual formation velocity, based on geometric seismology theory, Considering the variation of depth error and position direction caused by the difference between imaging velocity and formation velocity, a method of depth spatial calibration of prestack depth migration data is derived. The main direction of uncertainty is used to determine the moving direction of each plane, so that the seismic reflection layers of the processing profile are consistent with all drilling depths, and the imaging accuracy of prestack depth migration data is improved effectively. The correction of structural indeterminacy in 23 wells shows that the method has high accuracy and relative error is less than 2.3 鈥,
本文編號:2280484
[Abstract]:In order to accurately describe the shape of underground structures and overcome the errors of depth migration and drilling depth caused by the difference between seismic migration velocity and actual formation velocity, based on geometric seismology theory, Considering the variation of depth error and position direction caused by the difference between imaging velocity and formation velocity, a method of depth spatial calibration of prestack depth migration data is derived. The main direction of uncertainty is used to determine the moving direction of each plane, so that the seismic reflection layers of the processing profile are consistent with all drilling depths, and the imaging accuracy of prestack depth migration data is improved effectively. The correction of structural indeterminacy in 23 wells shows that the method has high accuracy and relative error is less than 2.3 鈥,
本文編號:2280484
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