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横波速度是保证地震波正演模拟、岩石物理分析与叠前反演应用的重要参数.其在储层预测中的作用显著.为了提高缺失横波的估算精度.本文提出了一种基于三元柯西约束AVO反演的横波速度精细估算方法.首先.在褶积模型的假设前提下,基于贝叶斯反演框架研究了以三元柯西分布为先验正则约束的AVO反演算法,通过模型试算验证了反演参数的可靠性;然后将其应用于横波速度预测.利用Xu White岩石物理模型和测井约束反演方法计算初始横波速度,以此作为三元柯西约束AVO反演的横波输入,通过在反演过程中不断修正参数,使得横波速度的估算结果更加符合实际地下情况;最后将方法应用于实际工区,应用结果表明精细估算方法有效的提高了横波预测的精度和可靠性.
S-wave velocity is an important parameter to ensure seismic forward modeling, rock physics analysis and prestack inversion, and it plays a significant role in reservoir prediction.In order to improve the estimation accuracy of missing S-wave, First, based on the hypothesis of convolution model, based on the Bayesian inversion framework, the AVO inversion algorithm based on the prior three-Cauchy distribution is studied. By using the model The reliability of the inversion parameters is verified through trial calculation, which is then applied to the prediction of shear wave velocity.The initial shear wave velocity is calculated by Xu White rock physics model and logging constrained inversion method, which can be inversed as the ternational Cauchy constrained AVO Through the input of shear wave, the estimation of shear wave velocity is more in line with the actual situation by applying the constant correction parameters in the inversion process. Finally, the method is applied to the actual work area. The application results show that the precision estimation method effectively improves the accuracy and reliability of shear wave prediction .