A Novel Approach of Frequency-Dependent Seismic Elastic Parameters Inversion for Fluid Prediction at Thin Sandstone Reservoirs

Fawei Miao;Yan-Xiao He;Jingyang Ni;Sanyi Yuan;Shangxu Wang
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Abstract

One of the leading challenges in hydrocarbon recovery is predicting fluid distribution throughout the reservoir, using dispersion of seismic elastic parameters to solve this problem is a method with great potential. Previous studies reveal that predicting frequency-dependent seismic elastic parameters is difficult because of their sensitivity to seismic wave amplitude. The frequency-dependent AVO inversion schemes are widely used to estimate the dispersion gradient attributes for fluid prediction. However, these methods strongly depend on the advanced spectral decomposition and the wavelet overprint effect in time-frequency information. For this reason, this study presents an innovative technique that combines prestack AVO inversion and linear Bayesian inversion algorithm to predict directly frequency-dependent P-wave velocity of multilayered medium from seismic reflection data, which can quantitatively describe the change of P-wave velocity in seismic frequency band. Furthermore, frequency-dependent elastic parameters were used to define a dispersion factor for fluid prediction in thin sandstone reservoirs. The novelty of the study is that the proposed approach introduces prestack AVO inversion to provide reliable initial model and constructs dispersive P-wave velocity inversion framework of layered medium for the first time. Additionally, the dispersive elastic parameters have more potential applications than the dispersion gradient attributes. Tests on the synthetic and real data demonstrate that the frequency-dependent P-wave velocity of multilayered medium can be estimated reasonably and stably. In this application, we use a test well to assess locally the performance of the technique.
薄砂岩储层流体预测的频率相关地震弹性参数反演新方法
油气开采面临的主要挑战之一是预测整个储层的流体分布,利用地震弹性参数的离散性来解决这一问题是一种极具潜力的方法。以往的研究表明,频率相关的地震弹性参数对地震波幅值的敏感性使其预测变得困难。频率相关AVO反演方法被广泛用于流体预测中色散梯度属性的估计。然而,这些方法在很大程度上依赖于高级谱分解和时频信息中的小波叠印效应。为此,本研究提出了一种将叠前AVO反演与线性贝叶斯反演算法相结合的创新技术,从地震反射数据中直接预测多层介质的频率相关纵波速度,可以定量描述地震频带内纵波速度的变化。此外,利用频率相关的弹性参数定义了薄砂岩储层流体预测的频散系数。该方法的新颖之处在于引入叠前AVO反演提供可靠的初始模型,并首次构建了层状介质的色散纵波速度反演框架。此外,色散弹性参数比色散梯度属性具有更大的应用潜力。对合成数据和实际数据的试验表明,该方法可以合理、稳定地估算出多层介质中随频率变化的纵波速度。在这个应用中,我们使用一口测试井来评估该技术的局部性能。
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