04 detecting faults - pb

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    1

    Association of GeoTechnical &GeoEnvironmental Specialists (Hong Kong)

    Technical Seminar 19th March 2011Hong Kong University

    By: Pawel BarmutaSenior Associate

    2

    Fault Zones & Their Influence onConstruction

    Detecting Faults Ahead of the TunnelFace During Construction

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    33

    Marine Clay

    CDG

    Granite

    44

    Marine Clay

    CDG

    Granite

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    5

    Characteristic of fault zones in Hong Kong

    Single or multiple shear plane

    Fault gauge along shear plane

    Intense fracturing in the vicinity of shear plane

    High permeability

    Faults are often followed by pervasive weathering

    Abrupt, distinctive boundaries

    6

    Examples of minor faults in Sandy Bay andCyberport shafts of HATS2 project

    Even a narrow band of cohesion-lessmaterial may become a difficulty when withpresence of water under pressure

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    77

    8

    Sub-vertical fault zonecontoured by the Geologist

    on 10m diameter shaft facein Sandy Bay Shaft ofHATS2 C/2007/24 project

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    9

    Methods of Detecting the Weakness Zone: Vertical coring from surface

    Directional drilling from surface

    Horizontal (directional) coring from tunnel face

    Logged percussion drilling from tunnel face

    Percussion drilling from tunnel face with tele-viewing

    Seismic refraction from surface

    Seismic refraction from tunnel face

    10

    Visual Logging of Percussion Probing:

    Penetration Rate by use of e.g. 1m marks on the drillrods and measuring the drill time with a stop watch

    Colour of flush

    Content of fines (silt and clay fraction)

    Lithology of chippings collected on sieve

    Water flow rate

    10

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    11

    Extremely Hazardous Environment:

    Extreme noise from percussion drifters

    Working between moving booms and close to rotatingtools

    Poor ventilation

    High temperature

    Confined space

    1212

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    13

    Sources of Uncertainties

    Time lag between encountered geological

    feature and flush appearance difficulty tolocate the feature and to determine its span

    Effect of drilling pressures on Penetration

    Rate can not be separated

    Human factor in the observations and recordsdue to extremely hard working condition

    14

    Seam of CDG factual position

    Contentof fines

    Probe depth

    Peak on finescontent logcorresponding toseam of CDG

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    15

    On SSDS project tunnels AB and C the whole

    alignment of 10.1 km was covered by probedrilling

    The probe hole length was typically 50 m

    Totally around 57 kmof probes weredrilled in 2 years and logged by Geologist

    Reports from every probe drillings were timelyprepared and distributed by Geological Team

    16

    Visual logging of percussion drilling is veryeffective and reliable tool to identify the

    weakness zones ahead of the tunnel. It isrecommended for single cases inparticular.

    Never do it again!

    Lesson learned from HATS1 tunnels AB & C

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    17

    often can be found as MWD MeasuringWhen Drilling

    AUTOMATED RECORDINGOF DRILLING PARAMETERS

    18

    Parameters Logged Automatically on Drilling Machine

    Hammer Pressure - PH

    Torque Pressure - PTq

    Thrust Pressure (Feed Pressure) - PTh

    Instant Penetration Rate PR

    Collar co-ordinates

    Depth

    Orientation (Vertical and Horizontal angle to tunnelaxis)

    Water pressure

    Current and Voltage

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    19

    Advantages of Analysis of Automatic Logs of PercussionDrilling

    No disruption to production cycle the analysis iscarried out on logs of regular production drill holes(grout holes)

    No problems with safety hazards There are nopersonnel present at the tunnel face when drilling

    20

    Methods of Analysis:

    Single parameter response

    orVarious parameters response

    that can be analyzed by:

    Heuristic methods

    Statistical methods

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    Statistical Methods of Analysis:

    Pattern recognition Each rock type leaves a statistically detectable specific

    pattern of recorded pressures and penetration rate

    Normalization of the data Eliminating from Penetration Rate the trends related to other

    than rock properties factors detected statistically in therecords

    (Presented first comprehensively byH. Schunnesson)

    Results from both methods have to be calibrated against thefactual rock properties on site

    22

    PR and PTq are the indicators of rockresistance

    Systematic dependences between PTq,PTh, PTH, steel length and PR which are notrelated to rock properties have to bedetected and filtered out from PR and PTqrecord.

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    Regression analysis

    Records ofThTqHPRfrom the project

    Normalization &scaling

    Detecting systematicdependence

    Th, Tq, PR vs. depth

    Detecting systematicdependence

    Tq, PR vs. Th and H

    Detecting systematicdependence

    Tq vs. PR

    24

    Normalized PR and PTq parametersafter after scaling are dimensionless

    and need to be calibrated againstfactual rock condition e.g.represented by Q- value or by rockgrade of decomposition

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    Example of normalizationand scaling process

    First step:

    filtering out from the records allexcessive reading related to stoppages,collaring, changing drill bit and addingdrill rods

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    Pressure [bar]

    depth [m]

    depth [m]

    PR [m/min]

    27

    28

    Tq vs L (raw data from population)Tq [bar]

    depth [m]28

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    PR vs PH

    y = 0.0175x - 0.5552

    R2

    = 0.8169

    0

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    4

    30 50 70 90 110 130 150 170 190

    PH [bar]

    PR [m/min]

    PR vs PTh

    y = 0.0004x2

    - 0.0254x + 1.2851

    R2

    = 0.7693

    0

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    4

    20 30 40 50 60 70 80 90 100 110

    PTh [bar]

    PR [m/min]

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    Tq vs Th

    y = -0.0007x3

    + 0.1125x2

    - 4.5571x + 99.652

    R2

    = 0.5157

    0

    20

    40

    60

    80

    100

    120

    140

    20 30 40 50 60 70 80 90 100 110

    PTh [bar]

    PTq [bar]

    32

    Geotechnicalinterpretation:

    Higher torque

    pressure is requiredwhen the tool

    penetrates deeperinto the rock due to

    higher thrustpressure

    32

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    No relationbetween PThand drill holedepth due to

    computer

    control of PTh

    PTh vs depth

    0

    20

    40

    60

    80

    100

    120

    0 5 10 15 20

    depth [m]

    PTh [bar]

    PR vs Tq

    0

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    4

    4.5

    20 40 60 80 100 120

    PTq [bar]

    PR [m/min]

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    35

    The equation of regression line PR vs. PThand PR vs. PH are used to compensate eachraw PR measurement in a sample towardsaverage value of the population.

    PR filtered of PH and PTh effect

    0

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    0 5 10 15 20

    Depth [m]

    PR [m/min]

    Raw data

    PTh corrected

    PTh and PH corrected

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    In tunnel applications the statistical analysis has tobe first carried out on a large sample covering allrock condition expected along the tunnel i.e.provide appropriate MIN, MAX and regression lines

    The trends of interdependence between PTq, PTh,PR, L & PH can be assumed machinery specific

    hence used across projects

    40

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    41

    Calibration of Probing Parameter

    (Normalized and scaled PR) vs. mapped Q value5 m buffer

    Q1 Q2

    PR1PR2

    PR3

    42

    For tunneling purposes normalization andscaling should be based on initial largesample covering all kinds of rock condition

    expected along the tunnel

    InitialSample

    Parameters fornormalization

    & scaling

    Application onsingle probe

    hole

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    43

    Computers and software allow: Processing almost instantly large number of data

    from numerous drill-holes

    Provide unlimited options of presentation of theresults on 2D and 3D diagrams

    4444

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    45

    Rock module by BeverControl used on HATS2DC/2007/24

    Cylindrical plane oflogged grout holesahead of the tunnelunfolded

    Red color represents

    weak rock. Potentialfault zone can becontoured by theGeologist

    45

    46

    Rock mass resistancereflects twodistinguished

    lithological types ofrock:

    Syenite - (Hard)

    Shist - (Weak)

    46

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    Intensity of Jointing & FracturingWell represented by normalized Torque Pressure PTq

    changes measured as Root Mean Square - RMS

    48

    Rock Module byBever Controlused on HATS2DC/2007/24

    Cylindrical planeof logged groutholes unfolded

    Fracturingintensity isrepresented byRMS ofnormalized PTq

    48

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    Other Method of Analysis

    of

    Percussion Drilling Data

    50

    Specific Energy Concept By R. Taele (Destruction Energy)

    Definition: Specific Energy is the energy needed todisintegrate a unit volume of rock by drilling.

    Specific Energy parameter reflects properties of

    particular rock and drilling method

    i.e. Is specific for rock and method.

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    51

    A drill hole face area

    L drilled length (typically 100 mm)

    L

    A

    51

    52

    Espent = EH + ETq + EThE

    spent= E

    H+ E

    Tq+ E

    Th

    EH energy spent due to hammer action

    ETq energy spent due to torque action

    ETh energy spent due to thrust action

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    53

    Energy spent to drill a section of drill holecan be calculated from discrete records ofpressures PTh, PTq and PH as well as fromrecords of electric current and voltage whendrilling.

    54

    Specific Energy (SE)Parameter may also require corrections for:

    Drill hole depth (string weight, wear of drill bit,

    friction along string) systematic effect on SE

    PTh, PTq and PR systematic effects on SE notrelated to variations of rock condition

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    Specific Energy (SE)Contrary to normalized Penetration Rate andTorque Pressure, has physical meaning and

    reportedly has good correlation to:

    TBM performance Powder factor

    56

    Summary 1 Visual logging of percussion probes is an efficient

    tool for detecting bad ground condition ahead oftunnel face

    2 Automated logging eliminates safety hazardsrelated to presence of staff at the tunnel face

    3 Automated logging largely eliminates disruption toproduction cycle

    4 Automated probing combined with data statisticalinterpretation provide reliable contouring ofweakness zones ahead of tunnel face

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    5757

    Granite

    CDG

    Marine Clay

    5757

    58

    Thank You.