首页> 外文会议>International conference on environmental remediation and radioactive waste management >CHARACTERIZATION OF BEDROCK HYDROGEOLOGY AT THE OLKILUOTO SITE USING SURFACE BASED AND UNDERGROUND DATA
【24h】

CHARACTERIZATION OF BEDROCK HYDROGEOLOGY AT THE OLKILUOTO SITE USING SURFACE BASED AND UNDERGROUND DATA

机译:基于表面和地下数据的OLKILUOTO场地基岩水文地质特征

获取原文

摘要

Posiva Oy is responsible for implementing the program for geological disposal of spent nuclear fuel in Finland. Olkiluoto in Eurajoki has been selected as the primary site for the repository, subject to further detailed characterization which is currently focused on the construction of an underground rock characterization and research facility (the ONKALO). An essential part of the site investigation program is analysis of groundwater flow and solute transport to depth by means of numerical flow modeling as part of the 2011 site descriptive model. Groundwater flow in the crystalline rocks at Olkiluoto takes place predominantly in the void space of the interconnected fractures in the bedrock. Many of the hydraulic characteristics of flow through such a system can be represented by hydrogeological Discrete Fracture Network (hydro-DFN) models, since they capture some of the details of fracture geometry, size, connectivity and openings. The paper describes how field data is used to derive such models, ultimately for use in safety assessment. Surface based site investigations at Olkiluoto include 53 vertical or inclined deep core drilled boreholes and 27 shallower sub-vertical boreholes. The characterization of fractures is a key objective. Fracture geometrical data (fracture positions and orientations) are determined from drill core mapping and/or borehole TV images, while hydraulic data are determined with the Posiva Flow Log (PFL). The PFL method is a geophysical logging device developed to detect continuously flowing fractures in sparsely fractured crystalline bedrock by means of difference flow logging, providing the effective transmissivity of individual fracture intercepts. A methodology developed originally in the Swedish program for constraining hydrogeological DFN models based on the PFL high resolution hydraulic test data has been extended to incorporate data from underground. The approach integrates deterministic models of the main hydro-structures with a stochastic model of the bedrock between. An exploration of conceptual uncertainties in the representation of the very scarce distribution of flow at repository depth, c. 400m, has been performed. This has been greatly informed by the analysis of 15 additional sub-horizontal boreholes drilled ahead of the ONKALO tunnel excavations. Conditions for PFL hydraulic tests performed in these pilot holes provide a lower detection limit and reveal the very low magnitude of groundwater flow that may be expected around the repository depositional volumes.
机译:Posiva Oy负责在芬兰实施废弃核燃料的地质处置计划。 Eurajoki的Olkiluoto已被选为该储藏库的主要存放地点,但需要进行进一步的详细表征,而目前的重点是建设地下岩石表征和研究设施(ONKALO)。现场调查计划的重要组成部分是作为2011年现场描述模型的一部分,通过数值流模型分析地下水流和溶质向深处的迁移。 Olkiluoto的晶体岩石中的地下水流主要发生在基岩中相互连接的裂缝的空隙空间中。通过此类系统的许多水力特性可以用水文地质离散裂缝网络(hydro-DFN)模型来表示,因为它们捕获了裂缝几何形状,尺寸,连通性和开口的一些细节。本文描述了如何使用现场数据来推导此类模型,最终用于安全评估。 Olkiluoto的基于地面的现场调查包括53个垂直或倾斜的深部岩心钻孔和27个较浅的亚垂直钻孔。裂缝的表征是一个关键目标。裂缝几何数据(裂缝位置和方向)是从钻芯图和/或井眼电视图像确定的,而水力数据是通过Posiva Flow Log(PFL)确定的。 PFL方法是一种地球物理测井设备,旨在通过差流测井来检测稀疏断裂的结晶基岩中的连续流动裂缝,从而提供各个裂缝截距的有效透射率。最初在瑞典计划中开发的用于基于PFL高分辨率水力测试数据来约束水文地质DFN模型的方法已得到扩展,可以合并来自地下的数据。该方法将主要水力结构的确定性模型与基岩之间的随机模型集成在一起。在概念上不确定性的探索中,在存储深度处非常稀疏的流量表示中,c。 400m,已经执行。通过对ONKALO隧道开挖之前另外钻出的15个亚水平钻孔的分析,这极大地说明了这一点。在这些先导孔中进行PFL液压测试的条件提供了较低的检测极限,并揭示了在储层沉积体积周围可能会出现的非常低的地下水流量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号