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Integrated multi-scale reservoir data representation and indexing for reservoir data management and characterization

机译：集成的多尺度储层数据表示和索引，用于储层数据管理和表征

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摘要

Single-scale models cannot satisfy the requirements of oil reservoir researchers. The management of multi-scale data is thus important to ensure appropriate representation of geological structures and reservoir characterization. However, existing methods generally focus on two-dimensional maps. Moreover, existing multi-scale models and 3D indexing methods are not completely suitable for organizing and managing oil reservoir data; the relationship between spatial objects and the heterogeneity in spatial variations are not considered. To address this issue, this study aimed to develop a multi-scale oil reservoir model from the finest existing reservoir model, establish the relationship between models of different scales, and integrate multi-scale oil reservoir models. This paper proposes a multi-scale tree representation and generation method, based on corner point grid(CPG), that integrates multi-scale reservoir model representation and a spatial index. Experiments on integrated indexing and rendering were performed using the proposed method, and its performance was then evaluated via comparisons with existing methods. The results showed that the proposed integrated indexing method is significantly faster than one that does not use vertical geologic layer indexing. In addition, the proposed algorithm required much less time to render geological objects than a popular program and also performed operations such as translation and rotation more rapidly. Overall, the proposed algorithm allowed for efficient querying and visualization of arbitrary layers at arbitrary scales and regions.
机译：单尺度模型不能满足油藏研究人员的要求。因此，多尺度数据的管理对于确保适当表示地质结构和储层特征非常重要。但是，现有方法通常集中于二维地图。而且，现有的多尺度模型和3D索引方法并不完全适合组织和管理油藏数据。没有考虑空间物体与空间变化的异质性之间的关系。为了解决这个问题，本研究旨在从现有的最好的油藏模型中开发出多尺度的油藏模型，建立不同规模的模型之间的关系，并整合多尺度的油藏模型。提出了一种基于角点网格（CPG）的多尺度树表示与生成方法，该方法将多尺度油藏模型表示与空间索引相结合。使用提出的方法进行了集成索引和渲染的实验，然后通过与现有方法进行比较来评估其性能。结果表明，提出的综合索引方法比不使用垂直地质层索引的方法要快得多。另外，与流行的程序相比，所提出的算法需要更少的时间来渲染地质对象，并且还可以更快地执行诸如平移和旋转之类的操作。总体而言，所提出的算法允许在任意比例和区域对任意层进行有效的查询和可视化。

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  • 来源
    《Computers & geosciences》 |2020年第5期|104433.1-104433.12|共12页
  • 作者

  • 作者单位

    China Univ Petr State Key Lab Petr Resources & Prospecting Beijing 102249 Peoples R China|China Univ Petr Coll Geosci 18 Fuxue Rd Beijing Peoples R China;

    Yanchang Oilfield Co Wuqi Oil Prod Plant Wuqi Shanxi Peoples R China;

    PetroChina Changqing Oilfield Co Res Inst Petr Explorat & Dev Xian Shanxi Peoples R China;

    Peking Univ Coll Engn Dept Energy & Resources Engn Beijing Peoples R China;

    Peking Univ Sch Earth & Space Sci Beijing Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Multi-scale reservoir model; Corner point grid; Octree; Spatial index; Query;

    机译：多尺度油藏模型;角点网格;八位空间指数;询问;

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