Knowledge of the fracture network is fundamental to the fluid transport and geotechnical modelling necessary to assess the suitability of a rock mass to host a potential underground repository for the disposal of radioactive waste. However, in the early stages of a site investigation programme, site-specific fracture data are frequently available only from boreholes. This was the case at Sellafield, where characterization of borehole fracture data presented a number of inter-related problems including the volume of data, two data sets for each borehole and borehole sampling effects. A solution to the presentation and interpretation of such data was found in simple graphical display which allows rapid appraisal of a range of fracture attributes in relation to depth, lithostratigraphy and structure or in any other context. The succession sampled by the boreholes in the immediate vicinity of the proposed repository at Sellafield comprises three major units. The Borrowdale Volcanic Group, of Ordovician age, is unconformably overlain by a Permo-Triassic cover sequence com prising up to 100 m of sedimentary breccia (Brockram) succeeded by c. 450 m of the fluvial St Bees Sandstone to rockhead, Fracture data from these are available from logging of the borehole core and from interpretation of resistivity and acoustic images of the borehole wall, providing accurate frequency and orientation information respectively. These show that the discontinuity character of each of the major units is distinctive, indicating overall lithological control on the fracture network. Fracture frequency in the sedimentary cover rocks is relatively low, especially in the Brockram, and orientation patterns are dominated by bedding. The fracture frequency in the volcanic rocks is generally high and orientation typically very variable in the volumetrically dominant welded ignimbrites. However, interbedded units of non-welded lapilli tuff and breccia have lower fracture frequency and simpler orientation patterns. In all units, variations in fracture frequency and orientation character on a scale of a few metres to 100 m can be correlated with fault intersections indicating a structural overprint. Borehole sampling effects are illustrated by comparison of data from differently orientated boreholes and the underlying causes reviewed. Orientation bias is a well known problem usually addressed by weighting according to the probability of the borehole intersecting a planar feature in a particular orientation. However, data from borehole wall imagery are subject to additional sampling effects which reduce the effectiveness of such weighting. A different approach is suggested, using the probability density function of the population from non-censored parts of the sample.
机构:
Lanzhou Institute of Seismology,China Earthquake AdministrationLanzhou Institute of Seismology,China Earthquake Administration
Xuzhang Shen
Yuanze Zhou
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Key Lab of Computational Geodynamics of Chinese Academy of Sciences/College of Earth Science,University of Chinese Academy of SciencesLanzhou Institute of Seismology,China Earthquake Administration
Yuanze Zhou
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Koki Idehara
Xiuping Mei
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Lanzhou Institute of Seismology,China Earthquake AdministrationLanzhou Institute of Seismology,China Earthquake Administration
Xiuping Mei
Kangsheng Xu
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Lanzhou Institute of Seismology,China Earthquake AdministrationLanzhou Institute of Seismology,China Earthquake Administration
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Korea Inst Geosci & Mineral Resources KIGAM, Petr & Marine Res Div, Daejeon 305350, South KoreaKorea Inst Geosci & Mineral Resources KIGAM, Petr & Marine Res Div, Daejeon 305350, South Korea
Park, Kwan-Soon
Lee, Ho-Young
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Korea Inst Geosci & Mineral Resources KIGAM, Petr & Marine Res Div, Daejeon 305350, South KoreaKorea Inst Geosci & Mineral Resources KIGAM, Petr & Marine Res Div, Daejeon 305350, South Korea
Lee, Ho-Young
Kang, Dong-Hyo
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Korea Inst Geosci & Mineral Resources KIGAM, Petr & Marine Res Div, Daejeon 305350, South KoreaKorea Inst Geosci & Mineral Resources KIGAM, Petr & Marine Res Div, Daejeon 305350, South Korea
Kang, Dong-Hyo
Shin, Won-Cheol
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Korea Inst Geosci & Mineral Resources KIGAM, Petr & Marine Res Div, Daejeon 305350, South KoreaKorea Inst Geosci & Mineral Resources KIGAM, Petr & Marine Res Div, Daejeon 305350, South Korea
机构:
Geothermal Dev Co Ltd, POB 17700-20100,Polo House, Nakuru, Kenya
Univ Iceland, Dept Earth Sci, Sturlugata 7, IS-101 Reykjavik, Iceland
Orkustofnun, UNU GTP, Grensasvegi 9, IS-108 Reykjavik, IcelandGeothermal Dev Co Ltd, POB 17700-20100,Polo House, Nakuru, Kenya
Lichoro, Charles Muturia
Arnason, Knutur
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ISOR Iceland GeoSurvey, Grensasvegur 9, IS-108 Reykjavik, IcelandGeothermal Dev Co Ltd, POB 17700-20100,Polo House, Nakuru, Kenya
Arnason, Knutur
Cumming, William
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Cumming Geosci, 4728 Shade Tree Lane, Santa Rosa, CA 95405 USAGeothermal Dev Co Ltd, POB 17700-20100,Polo House, Nakuru, Kenya
机构:University of Technology Sydney,Centre for Advanced Modelling and Geospatial Information System, School of Information, Systems and Modelling, Faculty of Engineering and Information Technology
Ratiranjan Jena
Biswajeet Pradhan
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机构:University of Technology Sydney,Centre for Advanced Modelling and Geospatial Information System, School of Information, Systems and Modelling, Faculty of Engineering and Information Technology
Biswajeet Pradhan
Abdullah M. Alamri
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机构:University of Technology Sydney,Centre for Advanced Modelling and Geospatial Information System, School of Information, Systems and Modelling, Faculty of Engineering and Information Technology