基于匹配追踪算法的薄煤层强反射分离参数优选方法

Parameter optimization of strong reflection separation in thin coal seam based on matching pursuit algorithm

近年来,基于匹配追踪算法的强反射分离方法在不同强反射类型的实际资料应用中取得了较好的效果,但该算法关键参数的选择缺乏理论依据和标准,相关研究较少。为此,在薄煤层强反射分离过程中,明确子波相位和分离系数两个关键参数的含义,提出基于匹配追踪算法的薄煤层强反射分离参数优选方法,以进一步提高薄煤层强反射表征的精度,更好地开展强反射分离和储层预测。首先根据不同强反射储层类型对应的强反射子波特征进行分类,分析薄煤层强反射相位参数特征;然后基于钻井处反射系数计算及分离方法,确定强、弱反射的能量关系,估算分离系数,提高强反射分离效果。实际应用结果表明,该方法对薄煤层强反射特征的识别更加准确,分离的效果有明显提升;突出了储层弱反射特征,可为储层精细预测提供较好的资料基础。

The strong reflection separation method based on matching pursuit algorithm has achieved good re-sults in practical applications with different strong reflection types in recent years.However,the key algorithm parameter selection lacks a theoretical basis and standards with less research involved.Therefore,the meanings of the two key parameters of wavelet phase and separation coefficient are clarified during the strong reflection separation procedure in thin coal seams,and the parameter optimization method of strong reflection separation in thin coal seams based on matching pursuit algorithm is proposed,so as to further improve the characterization accuracy of strong reflection in thin coal seams and better carry out strong reflection separation,as well as res-ervoir prediction.Firstly,this paper classifies the strong reflection wavelet characteristics according to dif-ferent types of strong reflection reservoirs and analyzes the phase feature of strong reflection in thin coal seams.Then,based on the reflection coefficient calculation and separation of the practical drilling well,the paper deter-mines the energy relationship between strong and weak reflections and estimates the separation coefficient to im-prove the separation result of strong reflection.The application result shows that this method can accurately identify strong reflection features in thin coal seams and significantly improve separation results.It highlights the weak reflection characteristics of the reservoir and lays a solid data foundation for fine reservoir prediction.