基于尺度约束项的AVO反演方法
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摘要
AVO反演的实质是基于反射层AVO特征提取弹性参数。采用大炮检距数据可以弱化AVO三参数反演固有的病态特征,降低反演问题不适定性。但由于大炮检距数据受调谐效应影响严重,使得反射层AVO特征发生畸变,降低了反演精度。为此,本文深入研究了叠前道集调谐效应的产生机理,基于小波尺度分解的思想,在反演目标函数中构建尺度约束项,通过压制地震资料低频成分相对使用量,弱化调谐效应对反射层AVO特征的影响,从而实现提高反演精度的目的。模型试算和实际资料反演结果均表明,该方法具有一定可行性。
Elastic parameters can be extracted by AVO inversion based on AVO characteristics. Using large offset data helps to improve the ill-posed nature of the three-term AVO inversion.Since large offset data is seriously affected by tuning effect,AVO characteristic is distorted leading to a lowprecision inversion result.Therefore,this paper studies the tuning effect mechanism of the prestack gathers.Based on the thought of scale wavelet decomposition,we add a scale constraint item to the objective function to suppress low-frequency component of seismic data and weaken the tuning effect of AVO characteristics.So the precision of inversion result can be improved.Tests on both synthetic and real data show the feasibility of this algorithm.
引文
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