Annual Report 2000 - WIT
Annual Report 2000 - WIT Annual Report 2000 - WIT
ø Ð ¡ Ð÷ö Ð'ø ú Ð ¡ Ð'ö Ðü ú £¢ Ð÷ö Ð÷ø ú ù Ð÷ö ÐŽü ú Ð Ü ù ö ù ú Ð ù ö ö ù © ý Þ 250 law (HCL) and is solved numerically by the corresponding schemes. One of the most recent papers which uses the HCL-approach has been published by (Sethian and Popovici, 1999). They treat the eikonal equation as a generalized level-set equation and solve it numerically by a fast marching procedure. At present this variant seems to be the most efficient way of obtaining first-arrival traveltimes in 3-D. A good overview and a comparison between different eikonal solvers covering the period up to 1998 can be found in (Leidenfrost et al., 1999). All the methods mentioned above are more or less based on the numerical solution of the eikonal equation. The relation of the resulting first-arrival traveltimes with the respective amplitudes is non-trivial and has been subject of only a few investigations. (Vidale and Houston, 1990) tried to estimate geometrical spreading factors with the help of additional traveltime computations for sources surrounding the actual source location. The resulting errors are large and could only be reduced somewhat by an improved scheme published later (Pusey and Vidale, 1991). The first serious attempt was made by (El-Mageed, 1996) who followed the HCL-approach and solved the transport equation for the amplitudes in addition to the eikonal equation for the traveltimes. For the numerical calculation she used second order schemes for both equations, however, the resulting amplitudes were of zeroth order because they depend on the second traveltime derivatives. The method presented here is mainly based on the work of El- Mageed and extends as well as improves it by using alternative schemes resulting in highly accurate traveltimes and reliable amplitudes. BASICS In this chapter the eikonal and transport equation are introduced by starting from the equation of motion and considering acoustic waves propagating in a 2-D inhomogeneous isotropic medium. Then a high frequency approximation yields the eikonal equation (1) and the transport equation Ð÷ø ϹÐ÷ö ÐŽü ÓÆù¦ýdþ þÿý Ï2Ð÷ö Óhùûú Ü Ý ¨ Ò ¨ Ò è (2) ÐŽü Ð÷ø ÐŽü Ð÷ø ÐŽü Ð÷ø and are the independent spatial variables, is the density and ü is the com- stands for the pression wave velocity. The inverse velocity is called slowness þ . Ð¥¤§¦ Ð¥¤§¦
traveltime and ¡ stands for the logarithmic amplitude Ù with the traveltime given at ý ü Þ ü ú ö ö Þ ø ü ¡ ý ý Þ Þ ý ù ø ù ö ø 251 For a given density and velocity function the general procedure would be to first solve the eikonal equation for the traveltimes and then use these traveltimes and ö solve the transport equation for the logarithmic amplitude ¡ (or the amplitude Ù ). Ù è (3) ¤¦ METHOD In this chapter the procedure used to solve the eikonal and the transport equation is described. This part of the paper can only be regarded as a summary, for an introduction into hyperbolic conservation laws see (LeVeque, 1992) and for a detailed description of the method used here see (Buske, 2000). Eikonal equation The first step is to introduce as a new variable the horizontal slowness and to rewrite the eikonal equation (4) This equation has the form of a hyperbolic conservation law with the so called flux function è (5) The second step is to solve this equation for the traveltime function . We assume and propagating in positive -direction. In this ö case for the numerical solution it is more convenient to write the eikonal ü equation in the form a wave starting at ü ý ý þ (6) ý è (7) ö øQü ý
- Page 212 and 213: 200 of groundwater. ACKNOWLEDGEMENT
- Page 214 and 215: 202
- Page 216 and 217: 204 the wavefront curvature matrix
- Page 218 and 219: û ò é from ã äñ to ã î§ñ
- Page 220 and 221: é 208 Table 1: Median relative err
- Page 222 and 223: 210 Table 2: Median relative errors
- Page 224 and 225: 212 CONCLUSIONS We have presented a
- Page 226 and 227: 214 PUBLICATIONS Previous results c
- Page 228 and 229: æVU ìÿå T ü ýWYXZX[ 9\]9^\ Þ
- Page 230 and 231: 218 weight functions from traveltim
- Page 232 and 233: 220 REFERENCES Bleistein, N., 1986,
- Page 234 and 235: Š Ê ¦ Í ½ Í ’ » Ö ½ Ê
- Page 236 and 237: !¥”“Z• Ç ¤ ɨ§ — ‘
- Page 238 and 239: 226
- Page 240 and 241: 228 In this paper, we present a mor
- Page 242 and 243: L • MM+,ON N N Ž ú R N N N ú
- Page 244 and 245: 232 Figure 3: The evolution of a WF
- Page 246 and 247: 234 Let us analyze next the computa
- Page 248 and 249: 236 CONCLUSIONS We have presented a
- Page 250 and 251: 238
- Page 252 and 253: ’ Ç r 240 traveltimes, a computa
- Page 254 and 255: Ž Ž Ã Ž 242 Other two approxima
- Page 256 and 257: “ Ã Æ ³ 244 0 0.5 [km] 0 0.5 1
- Page 258 and 259: î r † Û(Û Ü Œ U Ú Ý Ü Û
- Page 260 and 261: 248 Ettrich, N., 1998, FD eikonal s
- Page 264 and 265: ø ü ø ø ý Þ do ø ý Ü
- Page 266 and 267: ø ö ø ú ü ö ü ¡ ü
- Page 268 and 269: ‹ 256 transport equation. Neverth
- Page 270 and 271: 258 tivalued geometrical spreading
- Page 272 and 273: 260 .
- Page 274 and 275: 262
- Page 276 and 277: … " ¯ ü ý +- 4=° ü ü +
- Page 278 and 279: ö ô æ º Ò x ¹ v ý ñ
- Page 280 and 281: 268 NUMERICAL RESULTS We constructe
- Page 282 and 283: ¹ õ ' ' -š' ù ¹ ù ' ' -š
- Page 284 and 285: £ -š' - 272 Ô- —- Figure 6: C
- Page 286 and 287: 274 REFERENCES Aldridge, D. F. (199
- Page 288 and 289: 276
- Page 290 and 291: 278 3. 4. True-amplitude imaging, m
- Page 292 and 293: 280 Research Group Hamburg (Gajewsk
- Page 294 and 295: 282 Stefan Lüth Robert Patzig Refr
- Page 296 and 297: 284 Landmark Graphics Corp. 7409 S.
- Page 298 and 299: 286 TotalFinaElf Exploration UK plc
- Page 300 and 301: 288 as research assistant at Geoeco
- Page 302 and 303: 290 Ingo Koglin is a diploma studen
- Page 304 and 305: 292 Matthias Riede received his M.S
- Page 306 and 307: 294 Svetlana Soukina received her d
- Page 308: 296 Yonghai Zhang received the Mast
traveltime and ¡<br />
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<br />
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<br />
with the traveltime given at<br />
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251<br />
For a given density and velocity function the general procedure would be to first<br />
solve the eikonal equation for the traveltimes and then use these traveltimes and<br />
ö<br />
solve the transport equation for the logarithmic amplitude ¡ (or the amplitude Ù ).<br />
Ù è (3)<br />
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METHOD<br />
In this chapter the procedure used to solve the eikonal and the transport equation is described.<br />
This part of the paper can only be regarded as a summary, for an introduction<br />
into hyperbolic conservation laws see (LeVeque, 1992) and for a detailed description<br />
of the method used here see (Buske, <strong>2000</strong>).<br />
Eikonal equation<br />
The first step is to introduce as a new variable the horizontal slowness and to rewrite<br />
the eikonal equation<br />
<br />
(4)<br />
<br />
<br />
This equation has the form of a hyperbolic conservation law with the so called flux<br />
function <br />
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The second step is to solve this equation for the traveltime function . We assume<br />
and propagating in positive -direction. In this ö case for the<br />
numerical solution it is more convenient to write the eikonal ü equation in the form<br />
a wave starting at<br />
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(6)<br />
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