APPLICATION OF GEOPHYSICS TO VARIOUS TARGETS

Faculty: Physical Sciences

Dept:  Geological Sciences

Course title:  Application of Geophysics to Various Targets. 

Course Code:  GLS 639

Table of values for  offset  and  arrival time (t)

X(ft)

X(m)

T(msec)

T(sec)

15

4.5732

10

0.010

30

9.1463

20

0.020

45

13.7195

30

0.030

60

18.2927

40

0.040

75

22.8659

46

0.046

90

27.4390

51

0.051

105

32.0122

57

0.057

120

36.5834

63

0.063

135

41.1585

69

0.069

150

45.7317

74

0.074

165

50.3049

80

0.080

180

54.8780

85

0.085

  1. the velocities of the first and  second layers can be calculated as illustrated below

v1 =      1

           slope

slope  =    0.032  – 0.01   =    0.022  = 0.0022

15-5                                                 10

:.  Vi =     1      = 455mls

            0.0022

slope = 0.085 –0.055  = 0.03  =  0.0012

55-30                                                25

v2  =    1         = 833mls

      0.0012

  1. depth to the second layer  v2
 =          tiviv2
        2 v2 2-v1 2

where  ti= intercept time on the time (t) axis. =0.019

v1 = velocity of the first layer

v2 = velocity of the second layer

₤2 = 0.019 x 455 x833   = 7201.285  = 7201.285

         2 8332-4552                 2484697.7564

=7201.285             = 5.1603m x 5.12m

   1395.5128

  1. No.  the velocity in the upper layer is the true velocity while that of the lower layer is the apparent velocity. The  reason is that the wave actually propagated through the upper layer,  while it only grazed along the upper part of the  lower  layer (interface separating the upper and the lower layer).  i  would have carried out  the reverse shooting so as to get respec
    tively V1+and V2+ (so that the harmonic mean of v21 and  v2-) will give the  true  velocity  of the  second layer.
 

From the above diagram, at any offset such that x I> AB;  refracted /head waves are the first to start reaching   the geophone .

depth x (m)

forward shooting t (

forward shoting t (sec)

reverse shooting t (msec)

reverse shooting t (sec)

0

83

0.083

10

10

0.010

81

0.081

20

21

0.021

78

0.078

30

30

0.030

75

0.075

40

39

0.039

72

0.072

50

48

0.048

69

0.069

60

49

0.049

66

0.066

70

50

0.0.50

62

0.062

80

52

0.052

59

0.059

90

54

0.0.54

57

0.057

100

56

0.0.56

56

0.056

110

58

0.0.58

55

0.055

120

62

0.0.62

54

0.054

130

64

0.0.64

53

0.053

140

68

0.0.68

51

0.051

150

71

0.0.71

48

0.048

160

74

0.0.74

45

0.045

170

76

0.0.76

43

0.043

180

78

0.0.78

39

0.039

190

80

0.0.80

29

0.029

200

82

0.0.82

20

0.020

210

83

0.0.83

11

0.011

220

84

0.0.84

Table of  values for permeability(K) and velocity (v)

Permeability (k)

Velocity(v)

Kv

V2

Kv2

V3

V4

20,480

3577

73,256,960

12,794,929

2.62040×1011

4.5675×1010

1.63710×1014

16,770

3654

61,277,580

13,351,716

2.23908×1011

4.87872×1010

1.78268×1014

15,320

3690

56,530,800

13,616,100

2.08599×1011

5.02434×1010

1.85398×1014

10,410

3820

39,766,200

14,592,400

1.51907×1011

5.57430×1010

2.12938×1014

24,850

3530

87,720,500

12,460,900

3.09653×1011

4.39870×1010

1.55274×1014

15,610

3693

57,647,730

13,638,249

2.12893×1011

5.03661×1010

1.86002×1014

14,790

3698

54,693,420

13,675,204

2.02256×1011

5.05709×1010

1.87011×1014

åk=118,230

åv=25662

åkv-430,893,190

åv2=941,129,498

åKv2=1.57126×1012

åv3=3.43465×1011

åv4=1.26860×1015

From the above table,  we can generate a polynomial function of second degree relating permeabi
lity (k)  and velocity (v)  as   show below:

K=  bo+  bi åV +  b2åv2

åk= nbo + biåv + b2åv2 ………………………………………….equ(1)

åkv= boåv + biåv2 + b2åv3…………………………………………equ(2)

åkv =boåv2  + biåv + b2åv4………………………………………….equ(3)

This  yields a  3 x 3 (square) matrix of three unknown variables bo, bi and b2  as illustrated below:

7                        25,662               94,129,498               bo          118,230

25,662              94,129,498         3.45463X1011          bi    =      430,893,190

94,29498          3.4546×1011        1.26860×1015            b2           1.57126×1012

                            A                                                      X          =            H

= X =A.-H

/A/ = 7(94,129,498X1.2860X1015-(3.45465X1011)2

= 7(1.19413X1023 –1.19346X1023 ) =7(6.70X1019)=4.69X1020

=25,662(25.662X1.26860X1015 –3.45465 X 1011 X 94,129,498)

= -25,662(3.25548 X1019 – 3.25184 X1019)

=- 25,662(3.64X10 16)   = – 9.34X10 20

+ 94,129,498 (25,662 X3.45465X1011 –(94,129,498)2

= + 94,129,498(8.86532 X1015-8.86036 X1015)

= + 94,129,498(4.96X1012) =  4.61 X1020

:. /A/ = 4.69×1020 – 9.34 x1020 + 4.61 x1020 + 4.61 x1020 =-4.00×1018

/A/ = – 40 X 1018

Co-factors of A

911 =+(94,129,498 X 1.26860 X1015 –(3.45465X1011)2

= + (1.193413X1023 – 1.19346 X1023)

= + 6.7 X1019

912 = – (25,662X1.26860 X1015 94,129.498 X3.45465 X1011 )

= – (3.25548 X 1019  – 3.25184 X 1019)

= – 3.64 X10 16

913 = + (25,662X3.45465X1011 –(94,129,498)2

= + (18.86532X1015 –8.86036X1015)

= + 4.96X1012

a21 =  – (25,662 X1.26860X1015 – 94,129,498 X 3.45465 X1011)

=-(3.25548×1019 – 3.25184 x 1019)

=- 3.64 x10 16

922= +(7×1.26860 x1015 – (94,129,498)2

=+(8.8860 x1015 –8.86036×1015)

= + 1.98 x1023

923 = -(7 x3.45465 x1011 – 25,662×94,129,498)

=-(2.41826 x1012 –2.41555 x1012)

= -2.71 x109 

931 = +(25,662 x3.45465-2.41555×1012)

= + (8.86532 x1015 –8.86036 x1015)

= 4.96 x1012

932 = – )7×3.45465 x1011 = 25,662 x94,129,498)

= – 2.41826 x 1012 –2.41555×1012

 = -2.71 x109

933 = + (7 x94,129,498 – (25,662)2

 =+ 658,906,486 –658,538,244 = +368,242

C   =      6.70×10 19     -3.64×10 16    4.96 x10 12

           -3.64×1016      1.98 x1013     -2.71×109

           4.96×1012      – 2.71 x109     368,242

C   =      6.70×10 19     -3.64×10 16      4.96 x10 12

           -3.64×1016      1.98 x1013     -2.71×1019   =AdjA

           4.96×1012      – 2.71 x109     368,242

=   A+ = AdjA  =         1                   6.70×10 19     -3.64×10 16      4.96 x10 12

               /A/          4.00X1018           -3.64×1016      1.98 x1013     -2.71×1019   =AdjA

                                                        4.96×1012      – 2.71 x109     368,242

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