Based on the physical quantity of log data, the accurate identification of oil- and gas-bearing properties may be caused by the prestack inversion of fluid prediction, which will affect the success rate of exploration and development. Prestack data contain more information of amplitude and frequency. Using the frequency-dependent viscoelastic impedance equation and Bayesian inversion framework, the objective function of frequency-dependent elastic impedance inversion can be established to realize the frequency-dependent impedance inversion at different angles. According to the elastic impedance equation of the frequency-varying viscoelastic fluid factor, the relationship between elastic impedance and the frequency-dependent viscoelastic fluid factor is established, and the prestack seismic inversion method of the frequency-dependent viscoelastic fluid factor is studied. However, one of the important factors easily neglected is that we have been using logging data to establish fluid-sensitive parameters and the lithophysical version for fluid identification, so there are differences between logging and seismic frequency bands for fluid identification. The indicator factors with higher sensitivity to fluid can be selected by laboratory measurements. This article applies this method on Luojia oilfield data and verifies this method with log interpretation results, based on the sample of rock physics obtained in a low-frequency rock physics experiment; the technique of dispersion and fluid-sensitive parameters is studied, and the fluid prediction technology of a multifrequency band rock physics template is adopted, which can build the relationship between rock physical elastic parameters and fluid properties by the multifrequency broadband impedance method.

中文翻译：

---

基于宽带阻抗的粘弹性流体因子反演及在骆家油田中的应用

基于测井数据的物理量，流体预测的叠前反演可能会导致含油气性质的准确识别，从而影响勘探开发的成功率。叠前数据包含更多的幅度和频率信息。利用变频粘弹性阻抗方程和贝叶斯反演框架，可以建立变频弹性阻抗反演的目标函数，实现不同角度的变频阻抗反演。根据变频粘弹性流体因子的弹性阻抗方程，建立弹性阻抗与变频粘弹性流体因子的关系，研究了与频率相关的粘弹性流体因子的叠前地震反演方法。然而，一个容易被忽视的重要因素是，我们一直使用测井数据建立流体敏感参数和流体识别的岩性版本，因此流体识别的测井和地震频带之间存在差异。对流体敏感性较高的指标因子可以通过实验室测量来选择。本文以低频岩石物理实验中获得的岩石物理样本为基础，将该方法应用于洛家油田数据，并用测井解释结果验证了该方法；研究了分散和流体敏感参数的技术，