DECAY CHARACTERISTICS OF AIRBORNE TIME-DOMAIN ELECTROMAGNETIC DATA: WHERE TO FIND THE CONSTANT (TAU)

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1 DECAY CHARACTERISTICS OF AIRBORNE TIME-DOMAIN ELECTROMAGNETIC DATA: WHERE TO FIND THE CONSTANT (TAU) Tau Geophysical Consultants Magdel Combrinck Willem Botha

2 Outline What is? Why is it useful? How is it calculated? How do you explain different values for a constant? and which is the most accurate?

3 What is? Tswana for Lion

4 What is? Name of a new geophysical consulting company ( welcoming new clients at this time )

5 What is? Decay Constant: A The time required for an exponential function to decay to a value of 1/e of the original value. EMF A/e F(t)=Ae -t/ TIME

6 What is? In geophysics it is a parameter that links subsurface conductivity to transient electromagnetic field behaviour EMF Measured EMF decay with time TIME Subsurface Conductor

7 What is? In geophysics it is a parameter that links subsurface conductivity to transient electromagnetic field behaviour EMF EMF DISTANCE TIME

8 TIME EMF > = = = = n i t i i n i t i i i e A t t db EMF A e t B 0 0 ) ( ) ( ) ( t t e A t t db EMF Ae t B = = ) ( ) ( ) ( In late time: What is?

9 What is? a Model Equation for Equation for S a = 2 2 Model Equation for Equation for S 10 = 2 = 2 Model Equation for Equation for S s a = 5.51 = = 5.51 = = 10 is mathematically related to conductor conductivity and geometry (conductance), and describes how TEM fields decay in response to a specific conductor: Late time relationships have been calculated for various geometries where: S: Conductance [S] σ: Conductivity [S/m] µ: 4π x 10-7 [NA -2 ] a & s: Geometrical dimensions [m] 1 From Geonics Technical Notes 7 (McNeill) 2 Rock and Mineral Properties (Keller; in Electromagnetic Methods in Applied Geophysics Vol.1) 3 Interpretation of large-loop transmitter TEM surveys, McNeill 1982.

10 Why is it useful? Analyzing TEM fields to determine decay characteristics provides subsurface conductivity information Decay constant maps can be produced vey quickly and are useful for a first pass evaluation of TEM data to indicate the approximate location and conductance of subsurface conductors. It can also be used to delineate structure and lithological units.

11 How is it calculated? 1) Fit exponential function to db(t)/dt or straight line to ln(db(t)/dt); or use B(t) and ln(b(t)) EMF db( t) dt = A e t Ln(EMF) db( t) ln dt = = A ln + ln e c t t TIME TIME 2) Take ratio of late time B(t) to late time db(t)/dt B( t) db( t) d( t) = Ae t A e t =

12 How is it calculated? Plus some practical decisions 1) Which channels? 2) How many channels to evaluate at a time? 3) How to deal with noise? 4) When is the data fit acceptable?

13 Different values for a constant? As simple as these calculations are, some discrepancies are noticed when applying them to real data: EMF 1 2 1) Often B(t) 2 db(t)/ dt 2) variation depending on which channels are selected for analysis 3) variation depending on which part of anomaly is selected for analysis EMF TIME 1 2 DISTANCE

14 Different values for a constant? Why? 1) Waveform? 2) Host rock with finite conductivity? 3) Do airborne systems ever measure in late time? Which calculation is the most accurate?

15 Methodology Plate model in host rock with varying conductivity (1,10,100,1000, Ohm.m) Calculate response over 5 lines with Maxwell and Leroi Air db(t)/dt Varying B(t) Depth to top: 50 m Strike Length: 200 m Expected Tau: Conductance: 100 S Depth extent: 100 m 1.26ms Typical System Current Waveform Theoretical Impulse Response Total of 20 data sets Calculate Tau using six different approaches on each model Compare results

16 Methodology Six approaches to calculate Exponential Fit Late Time ms Ratio Tau Channel 32: [B(t)]/[dB(t)/ dt] To compare to Ch for other methods Exponential Fit Mid Time ms Latest Time Tau Most channels at latest time with r 2 fit better than Exponential Fit Early Time ms Best Exponential Fit Tau Tau from any 5 subsequent channels showing best r 2 fit

17 Results 4.5 Impulse dbdt Typical dbdt Impulse B-Field Typical B-Field 2.5 [ms] Host rock conductivity evaluation time range

18 Results Impulse dbdt Typical dbdt Impulse B-Field Typical B-Field [ms] Infinite E Infinite M Infinite L 1 E 1 M 1 L HS 1 E HS 1 M HS 1 L Host rock conductivity evaluation time range

19 Methodology Six approaches to calculate Exponential Fit Late Time ms Ratio Tau Channel 32: B/(dB/ dt) To compare to Ch for other methods Exponential Fit Mid Time ms Latest Time Tau Most channels at latest time with r 2 fit better than Exponential Fit Early Time ms Best Exponential Fit Tau Tau from any 5 subsequent channels showing best r 2 fit

20 Results db/dt RESPONSE B-FIELD RESPONSE Early Time (0.3 ms) Mid Time (1.8 ms) Late Time (6 ms) Early Time (0.3 ms) Mid Time (1.8 ms) Late Time (6 ms) MAXWELL FIXED CHANNEL TAU ALTERNATIVE TAU CALCULATIONS Tau [ms] Late Time Mid Time Early Time (B-field)/(dB/dt) Late Time Tau (latest time; most channels) Tau (best exponential fit) Tau [ms]

21 Results db/dt RESPONSE Early Time (0.3 ms) Mid Time (1.8 ms) Late Time (6 ms) db/dt RESPONSE Early Time (0.3 ms) Mid Time (1.8 ms) Late Time (6 ms)

22 Results B-FIELD RESPONSE Early Time (0.3 ms) Mid Time (1.8 ms) Late Time (6 ms) B-FIELD RESPONSE Early Time (0.3 ms) Mid Time (1.8 ms) Late Time (6 ms)

23 Results

24 Results MAXWELL FIXED CHANNEL TAU Forced fits, no test for r Tau [ms] MAXWELL FIXED CHANNEL TAU Late Time Mid Time Early Time Tau [ms] Late Time Mid Time Early Time 0.2 Late Time ms Ch Mid Time ms Ch Early Time ms Ch 14-18

25 Results ALTERNATIVE TAU CALCULATIONS (B-field)/(dB/dt) Late Time Tau (latest time; most channels) Tau (best exponential fit) Tau [ms] 0.2 Ratio Tau Channel 32 B/(dB/dt) To compare to Ch for other methods ALTERNATIVE TAU CALCULATIONS Latest Time Tau Most channels (4 or more) at latest time with r 2 fit better than Channel 8-34: B-field Best Exponential Fit Tau Tau from any 5 consecutive channels showing best r 2 fit better than Channel 8-34: B-field (B-field)/(dB/dt) Late Time Tau (latest time; most channels) Tau (best exponential fit) Tau [ms]

26 Results Maxwell Late Time Maxwell Mid Time Best Exponential Fit Tau Latest Time Tau Ratio Tau Maxwell Early Time

27 Infinite Resistivity

28 1000 Ohm.m host rock

29 100 Ohm.m host rock

30 10 Ohm.m host rock Exponential fit on 4 channels with r 2 >0.995 providing incorrect answer

31 Application to field data 4km Mid Mid Best exponential fit Mid_f Best exponential fit_f

32 Application to field data 4km Early Mid Late Best exponential fit Best exponential fit_f

33 Conclusions There are different theoretical approaches to calculate In practice, when theoretical assumptions are not met i.t.o. system design and, more importantly, finite host rock conductivity the best approach is to find the position (in time and locality) where the decay is the closest to a single exponential decay This has to be constrained with great care as halfspace responses, in reality decaying proportional to t -1.5 (B) and t -2.5 (db/dt) can easily be misinterpreted as exponential decays (e -t/ ), with regression coefficient fits (r 2 ) > on 4 channels even though it is a power law decay. Using more than 4 channels are another way of constraining the result.

34 Thank you! Thank you to Romex for use of field data.

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