倾角分解多次波自适应相减方法研究

2012年 51卷 第No. 4-期
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Multiple self-adaptive subtraction based on dip decomposition
1.中国石油大学(北京)油气资源与探测国家重点实验室,北京102249;2.中国石油勘探开发研究院
,北京100083;3.潜能恒信能源技术股份有限公司,北京100107
Ma Jitao, State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum
(Beijing), Beijing 102249, China
自适应相减是波动方程预测减去法多次波压制中的一个重要步骤。常用的基于能量最小的L2
范数自适应相减算法在多次波和一次波相交时,求取的滤波算子在匹配时会影响一次波信号,因
此,相减时会损害一次波的能量。将τ-p变换与L2范数自适应相减算法相结合,利用τ-p变换对数据
进行倾角分解,使多次波和一次波尽可能地分离;对倾角分解后的数据进行自适应相减,再将相
减结果组合输出,从而减少甚至避免了相减时对一次波的损害。模拟数据和实测数据的应用结果
验证了该方法的有效性。
The self-adaptive subtraction is an important procedure of multiple-attenuation by wave-equation
prediction subtraction method. With the common L2-norm self-adaptive subtraction algorithm based on
minimum energy, when matching, the derived filter operator will damage primary energy if multiples and
primaries overlap; therefore, the primary energy will be damaged in subtraction. We proposed a new
method that combined Tau-p transform and L2-norm self-adaptive subtraction. Firstly, Tau-p transform is
used for dip-decomposition of seismic shot gathers to separate the primaries and multiples in the
overlapped area. Secondly, the self-adaptive subtraction is carried out on the data after dip decomposition.
Thirdly, the subtraction results are combined as output, which may reduce and even avoid the damage to
primaries. Synthetic and actual data testing verified the validity of the method.
多次波; L2范数; 自适应相减; 倾角分解;
multiple; L2-norm; self-adaptive subtraction; dip decomposition;
10.3969/j.issn.1000-1441.2012.04.006