计算物理2024,Vol.41Issue(3) :380-391.DOI:10.19596/j.cnki.1001-246x.8730

基于混合算法的P-SV波叠前反演

P-SV Wave Prestack Inversion Based on Hybrid Algorithm

李勤 张敏 许莹
计算物理2024,Vol.41Issue(3) :380-391.DOI:10.19596/j.cnki.1001-246x.8730

基于混合算法的P-SV波叠前反演

P-SV Wave Prestack Inversion Based on Hybrid Algorithm

李勤 1张敏 2许莹3
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作者信息

  • 1. 西安科技大学地质与环境学院,陕西西安 710054;自然资源部煤炭资源勘查与综合利用重点实验室,陕西西安 710021
  • 2. 西安科技大学地质与环境学院,陕西西安 710054
  • 3. 中国地质大学(武汉)地质过程与矿产资源国家重点实验室,湖北武汉 430070
  • 折叠

摘要

根据P-SV波反射系数近似公式,建立关于各向异性参数的反演目标函数,分别使用单一算法和混合算法实现TTI介质各向异性参数的反演,结果表明:混合算法反演精度更高,过程更稳定;进一步,对理论模型数据加信噪比为5的高斯白噪声,对抗噪性进行测试,反演结果的误差较小,抗噪能力较好.最后对改造后的Hess模型进行各向异性参数反演,得到反演剖面,与原始剖面吻合度较高,验证了混合算法的有效性;选取研究区,对实际资料进行反演测试,得到的反演效果较好,精确度较高,验证了混合算法在实际应用中的有效性.

Abstract

The simulated annealing method is introduced into genetic algorithm to form a hybrid algorithm,which can overcome the defects of genetic algorithm in optimization and avoid the premature phenomenon.According to the approximate formula of reflection coefficient of P-SV wave,the objective function of anisotropy parameter inversion is established.The anisotropy parameter inversion of TTI medium is achieved by using single algorithm and mixed algorithm respectively.The results show that the mixed algorithm inversion accuracy is higher and the process is more stable.Furthermore,Gaussian white noise with a signal-to-noise ratio of 5 is added to the data of the theoretical model to test the anti-noise property.The error of the inversion results is small and the anti-noise ability is good.Finally,the anisotropic parameter inversion of the modified Hess model is carried out,and the inversion profile is obtained,which is in good agreement with the original profile,and the effectiveness of the hybrid algorithm is verified.In addition,the research area is selected to perform inversion test on the actual data.The inversion results are good and the accuracy is high,which verifies the effectiveness of the hybrid algorithm in practical application.

关键词

遗传算法/模拟退火法/混合算法/转换波/叠前反演

Key words

genetic algorithm/simulated annealing method/hybrid algorithm/converted wave/prestack inversion

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基金项目

国家自然科学基金(41674135)

出版年

2024
计算物理
中国核学会

计算物理

CSTPCDCSCD北大核心
影响因子:0.366
ISSN:1001-246X
参考文献量48
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