My PhD Thesis, PDF 3MB - Stanford University
My PhD Thesis, PDF 3MB - Stanford University
My PhD Thesis, PDF 3MB - Stanford University
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normalized Hankel functions of n th order, respectively. It should be emphasized that the<br />
normalized Hankel functions are used instead of the ordinary Hankel functions ( H n<br />
( 2 )<br />
and H ( x ) ). For a large argument x, the ordinary Hankel functions are approximated as<br />
n<br />
( 1)<br />
H ( x ) <br />
n<br />
( 2 )<br />
H ( x ) <br />
n<br />
2<br />
e<br />
x<br />
2<br />
e<br />
x<br />
n <br />
i( x <br />
2 4 )<br />
,<br />
n <br />
i( x <br />
2 4 )<br />
.<br />
When the argument x is complex, the imaginary part of x causes the exponential to<br />
increase or decay, making the numerical procedure unstable (computer may overflow or<br />
ix<br />
underflow). If we normalize them by multiplying factors e<br />
- 30 -<br />
( 1 )<br />
( x )<br />
ix<br />
and e , respectively, their<br />
asymptotic behavior will be much improved. I will use the normalized Hankel functions<br />
( 1 )<br />
( 2 )<br />
( H ( x ) n and H ( x ) n ) to express the solutions. Therefore, the algorithm is numerically<br />
stable even for large argument (the high frequency problem). Section 2.5.1 gives an<br />
example to show this.<br />
where<br />
In the fluid-filled borehole (j = 1), the solution is<br />
? (1 )<br />
(1 )<br />
( 1) (1 )<br />
( r , k , ) cJ ( r ) s H ( r )<br />
o <br />
o <br />
and (see Appendix A-3)<br />
( 1)<br />
c e p <br />
i ( 1 ) ( 1 )<br />
( r r ) ( 2 ) ( 1)<br />
(1 )<br />
<br />
H ( r ) (c s )e o <br />
p i ( 1 )<br />
r ( 1) (1 )<br />
<br />
H ( r ) (2.7a)<br />
o <br />
(1 )<br />
c p <br />
s <br />
(1 )<br />
c e p <br />
i ( 1 ) ( 1 )<br />
r<br />
<br />
4 ( (1)<br />
i<br />
c<br />
2<br />
(1 )<br />
2 )<br />
, (2.7b)<br />
F ( ) ;