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A modified shear-wave velocity estimation method based on well-log data

机译:基于井对数数据的修改剪切波速度估计方法

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摘要

Shear wave (S-wave) velocity is crucial for AVO inversion and fluid identification. Estimating S-wave velocity based on the rock physical model is commonly necessary for practical reservoir prediction. However, it is difficult to obtain some crucial parameters such as the pore aspect ratio accurately in some conventional estimation methods. Additionally, estimating S-wave velocity usually needs to use some optimization algorithms that depend on the initial values, which may decrease the accuracy of the estimation results. To solve these difficulties, we propose a concise S-wave velocity estimation method based on the notion of the consolidation parameter. We introduce a novel parameter defined as the product of consolidation parameter and porosity for calculating S-wave velocity, and propose a simple equation about the novel parameter after derivation. We solve the simple equation and obtain the novel parameter without needing any optimization algorithm. Then, the S-wave velocity is estimated accurately by using the novel parameter. The calculation of the proposed method is concise, because the optimization algorithm is needless, and the conventional parameters, such as the consolidation parameter and the pore-aspect ratio, can be disregarded. We test the estimation method by using well-log data from an oil field, where the lithology is complex. In the data test, the estimation error of the proposed method decreases compared with the error of the conventional method. (C) 2020 Elsevier B.V. All rights reserved.
机译:剪切波(S波)速度对于AVO反转和流体识别至关重要。估计基于岩石物理模型的S波速度是实际储层预测所必需的。然而,在一些常规估计方法中难以准确地获得诸如孔宽高比的一些关键参数。另外,估计S波速度通常需要使用依赖于初始值的一些优化算法,这可能会降低估计结果的准确性。为了解决这些困难,我们提出了一种基于整合参数的概念的简洁的S波速度估计方法。我们介绍了一种新的参数,被定义为用于计算S波速度的固结参数和孔隙率的乘积,并提出了一种在推导后的新颖参数的简单方程。我们解决了简单的等式,并获得了新颖的参数而不需要任何优化算法。然后,通过使用新颖的参数精确地估计S波速度。所提出的方法的计算简明扼要,因为优化算法是不必要的,并且可以忽略诸如合并参数和孔隙宽高比的传统参数。我们通过使用来自油田的井数数据来测试估计方法,其中岩性是复杂的。在数据测试中,与传统方法的误差相比,所提出的方法的估计误差减小。 (c)2020 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Journal of Applied Geophysics》 |2020年第2020期|共11页
  • 作者单位

    China Univ Petr State Key Lab Petr Resources &

    Prospecting CNPC Key Lab Geophys Explorat Beijing 102249 Peoples R China;

    China Univ Petr State Key Lab Petr Resources &

    Prospecting CNPC Key Lab Geophys Explorat Beijing 102249 Peoples R China;

    China Univ Petr State Key Lab Petr Resources &

    Prospecting CNPC Key Lab Geophys Explorat Beijing 102249 Peoples R China;

    China Univ Petr State Key Lab Petr Resources &

    Prospecting CNPC Key Lab Geophys Explorat Beijing 102249 Peoples R China;

    China Univ Petr State Key Lab Petr Resources &

    Prospecting CNPC Key Lab Geophys Explorat Beijing 102249 Peoples R China;

    Petro China Res Inst Explorat &

    Dev Dagang Oil Field Co Tianjin 300280 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;
  • 关键词

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