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首页> 外文期刊>Computers & geosciences >DigiFract: A software and data model implementation for flexible acquisition and processing of fracture data from outcrops
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DigiFract: A software and data model implementation for flexible acquisition and processing of fracture data from outcrops

机译：DigiFract：一种软件和数据模型实现，可灵活地采集和处理露头裂缝数据

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This paper presents the development and use of our new DigiFract software designed for acquiring fracture data from outcrops more efficiently and more completely than done with other methods. Fracture surveys often aim at measuring spatial information (such as spacing) directly in the field. Instead, DigiFract focuses on collecting geometries and attributes and derives spatial information through subsequent analyses. Our primary development goal was to support field acquisition in a systematic digital format and optimized for a varied range of (spatial) analyses. DigiFract is developed using the programming interface of the Quantum Geographic Information System (CIS) with versatile functionality for spatial raster and vector data handling. Among other features, this includes spatial referencing of outcrop photos, and tools for digitizing geometries and assigning attribute information through a graphical user interface. While a GIS typically operates in map-view, DigiFract collects features on a surface of arbitrary orientation in 3D space. This surface is overlain with an outcrop photo and serves as reference frame for digitizing geologic features. Data is managed through a data model and stored in shapefiles or in a spatial database system. Fracture attributes, such as spacing or length, is intrinsic information of the digitized geometry and becomes explicit through follow-up data processing. Orientation statistics, scan-line or scan-window analyses can be performed from the graphical user interface or can be obtained through flexible Python scripts that directly access the fractdatamodel and analysisLib core modules of DigiFract. This workflow has been applied in various studies and enabled a faster collection of larger and more accurate fracture datasets. The studies delivered a better characterization of fractured reservoirs analogues in terms of fracture orientation and intensity distributions. Furthermore, the data organisation and analyses provided more independent constraints on the bed-confined or through-going nature of fractures relative to the stratigraphic layering.
机译：本文介绍了我们新的DigiFract软件的开发和使用，该软件旨在比其他方法更有效，更完整地从露头中获取裂缝数据。断裂调查通常旨在直接在野外测量空间信息（例如间距）。相反，DigiFract专注于收集几何形状和属性，并通过后续分析得出空间信息。我们的主要开发目标是以系统的数字格式支持现场采集，并针对各种（空间）分析进行优化。 DigiFract是使用量子地理信息系统（CIS）的编程接口开发的，具有用于空间栅格和矢量数据处理的多功能功能。除其他功能外，这还包括露头照片的空间参考，以及用于通过图形用户界面对几何图形进行数字化和分配属性信息的工具。 GIS通常在地图视图中运行，而DigiFract则在3D空间中任意方位的表面上收集要素。该表面覆盖有露头照片，并用作将地质特征数字化的参考框架。数据通过数据模型进行管理，并存储在shapefile或空间数据库系统中。断裂属性（例如间距或长度）是数字化几何图形的固有信息，并通过后续数据处理变得清晰。方向统计，扫描线或扫描窗口分析可以从图形用户界面执行，也可以通过直接访问DigiFract的fractdatamodel和analysisLib核心模块的灵活Python脚本获得。该工作流程已在各种研究中得到应用，可以更快地收集更大且更准确的裂缝数据集。这些研究在裂缝方向和强度分布方面更好地描述了裂缝储层类似物。此外，相对于地层分层，数据的组织和分析为裂缝的层限或贯穿性质提供了更多独立约束。

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