使用不同方法估算岩架刚度的碳酸盐岩物理模型

0 ENERGY & FUELS
Shahram Danaei , Masoud Maleki , Denis J. Schiozer , Alessandra Davolio
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引用次数: 0

摘要

巴西盐下层的深水碳酸盐岩储层已成为该地区乃至全球的重要油气区。对这些储层进行地震监测至关重要,可为井位评估提供信息,减少储层模型的不确定性,并加强基于模型的决策制定。为了定量整合地震数据,需要一个岩石弹性模型(PEM)来估算弹性特性。岩架刚度建模是岩石弹性模型研究的重要部分。然而,由于碳酸盐岩的孔隙类型多种多样,这就变得更加复杂。估算刚度的一种方法是为每种不同的孔隙类型建模,并将其纳入整个岩石框架(不同的包含模型)。本研究探索了另一种估算岩石框架刚度的方法。我们采用了一个替代模型,然后根据井录信息对其系数进行校准。采用不同的岩石框架刚度建模方法,开发了两种 PEM。第一种受到包体模型的启发,在建模过程中纳入了两种孔隙类型(顺孔隙和硬孔隙)。第二种方法采用数学回归模型,将储层孔隙度与岩石框架刚度联系起来。利用三口井的测井数据和一口井的岩心样本测量数据,对巴西 Barra Velha(BVE)地层的盐前碳酸盐岩进行了测试。通过测量(如平均绝对误差和均方根误差)和预测结果的直观比较,评估了 PEM 的准确性。结果表明,两种 PEM 预测的速度(压缩速度和剪切速度)与实际井记录数据的吻合度都在可接受的范围内。同样,在对岩心样本进行测试时,PEM 也得出了相似的结果,这表明不仅在井记录尺度上,而且在岩心尺度上,代理都是有效的。对所有三口井的结果进行的直观比较和精度分析证实,两个 PEM 的预测结果相当。这一点意义重大,因为代用参数简化了建模过程,有利于在预测碳酸盐岩弹性特性时体现各种孔隙类型。总体而言,与涉及各种孔隙类型建模的包含模型相比,岩体框架刚度模型的代理模型计算成本较低。它还提供了一个简单明了的模型,可将地震数据定量整合到由地球科学和石油工程师组成的多学科团队中(例如,让石油工程师尽早参与三维/四维地震历史匹配)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Carbonate rock physics model using different approaches to estimate rock frame stiffness
Deepwater carbonate reservoirs in the Brazilian pre-salt have emerged as significant hydrocarbon plays in the region and globally. Seismic monitoring of these reservoirs is crucial to provide information for well placement assessments, to reduce uncertainty in reservoir models, and to enhance model-based decision making. To integrate seismic data quantitatively, a petroelastic model (PEM) is required to estimate elastic properties. The modeling of the rock frame stiffness is an essential part in the study of PEM. However, this becomes more complex for carbonate rocks given their diverse pore-types. One way for estimating stiffness is to model each distinct pore-type and include them into the overall rock frame (different inclusion models). In this research, an alternative approach is explored to estimate the rock frame stiffness. A proxy model is employed, and its coefficients are subsequently calibrated with well-log information. Two PEMs were developed using different approaches for rock frame stiffness modeling. The first was inspired by inclusion models and incorporated two pore types (compliant and stiff pores) for the modeling process. The second considered a mathematical regression model as a proxy to relate reservoir porosity to the rock frame stiffness. These two PEMs were tested on the Brazilian pre-salt carbonate rocks of the Barra Velha (BVE) formation using well-log data from three wells and core sample measurements for one well. The accuracy of the PEMs’ performances was assessed by measures (such as, mean absolute error and root mean square error) and visual comparisons of their predictions. The results showed that both PEMs predicted velocities (compressional and shear) within an acceptable match with the actual well-log data. Similarly, when tested on the core samples, the PEMs produced comparable results, which indicates the validity of the proxy, not only at the well-log scale but at the core scale. The visual comparison and the accuracy analyses of the results for all three wells confirmed that the two PEMs had comparable predictions. This is significant given that the proxy simplifies the modeling process and facilitates the representation of various pore-types in the prediction of elastic properties in carbonate rocks. Overall, the proxy for the rock frame stiffness modeling is a computationally less expensive model compared to the inclusion models which involve modeling of various pore-types. It also offers a straightforward model which enables the quantitative integration of seismic data in a multidisciplinary team of geosciences and petroleum engineers (for instance, early engagement of petroleum engineers in 3D/4D seismic history matching).
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