Interpretation of structural domains in discontinuity data from Nirex deep boreholes at Sellafield

被引:4
|
作者
Barnes, RP
Dee, SJ
Sanderson, DJ
Bowden, RA
机构
[1] British Geol Survey, Edinburgh EH9 3LA, Midlothian, Scotland
[2] Univ Southampton, Dept Geol, Geomech Grp, SOC, Southampton SO9 5NH, Hants, England
[3] UK Nirex Ltd, Didcot OX11 0RH, Oxon, England
关键词
D O I
10.1144/pygs.52.2.177
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
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.
引用
收藏
页码:177 / 187
页数:11
相关论文
共 50 条
  • [21] STRUCTURAL INTERPRETATION OF THE QINGDONG AREA IN BOHAI BAY BASIN FROM SHIPBORNE GRAVITY DATA
    Zhang, Chunguan
    Chen, Jingguo
    Song, Mingyi
    Wang, Jinkuan
    Yuan, Bingqiang
    POLISH MARITIME RESEARCH, 2015, 22 : 100 - 105
  • [22] Structural signatures of the Amazonian Craton in eastern Colombia from gravity and magnetometry data interpretation
    Moyano Nieto, Ismael Enrique
    Prieto, German A.
    TECTONOPHYSICS, 2021, 800
  • [23] Structural interpretation of the Marmara region, NW Turkey, from aeromagnetic, seismic and gravity data
    Ates, A
    Kayiran, T
    Sincer, I
    TECTONOPHYSICS, 2003, 367 (1-2) : 41 - 99
  • [24] INTERPRETATION OF FORELAND STRUCTURE IN THE LARAMIE RANGE FROM REPROCESSED COCORP DEEP CRUSTAL REFLECTION DATA
    JOHNSON, RA
    SMITHSON, SB
    HUNTOON, PW
    FROST, BR
    GEOPHYSICS, 1983, 48 (04) : 425 - 425
  • [25] Shape Carving Methods of Geologic Body Interpretation from Seismic Data Based on Deep Learning
    Petrov, Sergei
    Mukerji, Tapan
    Zhang, Xin
    Yan, Xinfei
    ENERGIES, 2022, 15 (03)
  • [26] DEEP CONDUCTIVITY DISTRIBUTION ON RUSSIAN PLATFORM FROM RESULTS OF COMBINED MAGNETOTELLURIC AND MAGNETOVARIATIONAL DATA INTERPRETATION
    KOVTUN, AA
    POROKHOVA, LN
    TRANSACTIONS-AMERICAN GEOPHYSICAL UNION, 1977, 58 (08): : 735 - 735
  • [27] Inferring structural and dynamical properties of gene networks from data with deep learning
    Chen, Feng
    Li, Chunhe
    NAR GENOMICS AND BIOINFORMATICS, 2022, 4 (03)
  • [28] Structural and Mineralogical Features of Diamonds from the Lomonosov Deposit (Arkhangelsk Province): New Data and Interpretation
    G. Yu. Kriulina
    E. A. Vasiliev
    V. K. Garanin
    Doklady Earth Sciences, 2019, 486 : 627 - 629
  • [29] Structural and Mineralogical Features of Diamonds from the Lomonosov Deposit (Arkhangelsk Province): New Data and Interpretation
    Kriulina, G. Yu.
    Vasiliev, E. A.
    Garanin, V. K.
    DOKLADY EARTH SCIENCES, 2019, 486 (02) : 627 - 629
  • [30] An integrated analysis of gravity and well data for deep-seated structural interpretation: a case study, from Ras Budran oil field, Gulf of Suez, Egypt
    A. A. Azab
    M. A. Ramadan
    M. Z. El-sawy
    Journal of Petroleum Exploration and Production Technology, 2019, 9 : 177 - 189