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Wave Inversion Technology WIT Annua
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WIT Sponsors WIT Wave Inversion Tec
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with contributions from the WIT Gro
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Preface The third WIT (Wave-Inversi
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ii Vanelle C. and Gajewski D., Thre
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2 Müller and Shapiro extended the
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4 age data. Numerical results obtai
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Wave Inversion Technology, Report N
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9 t " ; t = ;() N R N ; R ! S R x
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11 1987), h B ( ~ M I )= 2 6 4 rT (
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13 200 (a) Time (ms) 250 300 350 40
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15 reflector, we can conceive its i
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Wave Inversion Technology, Report N
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19 0 X1 X2 X3 X4 Depth (m) 500 1000
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21 1 0 0.9 -0.05 0.8 -0.1 0.7 -0.15
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23 Interestingly enough, things do
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25 1 0 0.9 -0.05 0.8 -0.1 0.7 -0.15
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Wave Inversion Technology, Report N
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29 and x G = x m + h ; x o . The co
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31 SENSIBILITY ANALYSIS The most im
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33 CONCLUSIONS By using derivatives
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35 T 5 = T 6 = @ @ o = T 5 + T 6 (1
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37 0.8 Common−Offset Section (100
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40 INVERSION OF THE WAVEFIELD ATTRI
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42 X 0 α ~ α V 0 γ i (x ,z ) i i
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44 0 1 2 v = 1.5km/s 0 v = 4.5km/s
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46 second interface are slightly sc
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48 CONCLUSION We presented an inver
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50 .
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Wave Inversion Technology, Report N
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55 time in respect to the start tim
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57 Figure 3: The same as Figure 2,
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59 By analogy with (2) we will look
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61 CONCLUSIONS We have developed a
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Wave Inversion Technology, Report N
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65 will show later how the process
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67 and develops a series solution o
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69 For the 3-D case the results are
- Page 84 and 85: 71 0.3 0.2 relative fluctuations of
- Page 86 and 87: 73 It is now possible to describe s
- Page 88 and 89: 75 Pulse propagation in random medi
- Page 90 and 91: 77 Pulse propagation in random medi
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- Page 94 and 95: 81 The standard staggered grid A st
- Page 96 and 97: 83 EXPERIMENTAL SETUP As described
- Page 98 and 99: 85 0 0.04 0.08 0.12 0.16 depth (m)
- Page 100 and 101: 87 to the 2D-model (SH-waves). The
- Page 102 and 103: 89 The first step to use this theor
- Page 104 and 105: 91 ACKNOWLEDGMENTS We wish to thank
- Page 106: Modeling 93
- Page 109 and 110: 96 are so small that the resulting
- Page 111 and 112: 98 zero. In other words, he sought
- Page 113 and 114: 100 We simulated a common-shot expe
- Page 115 and 116: 102 Relative error (%) 60 40 20 0
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- Page 119 and 120: 106 for the isotropic elastic case.
- Page 121 and 122: 108 of body forces, and with a Gree
- Page 123 and 124: 110 THE STATIONARY-PHASE APPROXIMAT
- Page 125 and 126: 112 Note that for each preassigned
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- Page 129 and 130: 116 3 s s s s x r r x s ~x 3
- Page 131 and 132: 118 Claim two The second claim to b
- Page 133: 120 Figure 2: Local Cartesian, ray
- Page 137 and 138: 124 Hubral, P., Schleicher, J., and
- Page 139 and 140: 126 and Gajewski, 1996; Vinje et al
- Page 141 and 142: 128 Figure 2: Wavefronts computed w
- Page 143 and 144: 130 source rays wavefront Figure 6:
- Page 145 and 146: 132 ACKNOWLEDGEMENTS This work was
- Page 147 and 148: 134 and Lecomte, 1992; Qin et al.,
- Page 149 and 150: 136 which is another form of snell'
- Page 151 and 152: 138 NUMERICAL TESTS The figures bel
- Page 153 and 154: 140 SUMMARY The following give the
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- Page 157 and 158: 144 on, e.g., the wavefront or refl
- Page 159 and 160: 146 Hubral et al. (1992) do a simil
- Page 161 and 162: 148 Depth [km] 0.2 0.4 0.6 0.8 0.2
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- Page 165 and 166: 152 and assume a linear relationshi
- Page 167 and 168: 154 the transformation ^Q = ^R T s
- Page 169 and 170: 156 rock have been generated by Joh
- Page 171 and 172: 158 Those latter coefficients descr
- Page 173 and 174: 160 (9) by explicit difference oper
- Page 175 and 176: 162 a series of large-amplitude sho
- Page 177 and 178: 164 CONCLUSIONS We have presented t
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- Page 181 and 182: 168 is slower than computing the fu
- Page 183 and 184: 170 Figure 1 shows the original 3D
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172 Figure 3: Snapshot of the elast
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174
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176 COMPUTING THE EFFECTIVE MEDIUM
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178 Vp [ km/s ] 4 3.8 3.6 3.4 3.2 3
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180 Figure 3: Time history of fluid
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182
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184 as salt body). To use full wave
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186 teristic change in subsurface p
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188
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190 CHEBYSHEV METHOD We use a Cheby
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192 x P 1 f (x) r P 4 P 2 f (x) r+1
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194 EXAMPLE In order to demonstrate
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196 CONCLUSION We developed a metho
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198
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200 The use of multi-parametric tra
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202 depending on the original and c
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204 (1999), the first part consists
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206 0 0.7 1 0.6 Zero offset travelt
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208 5 x 10−4 0 First reflector N
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210 Müller, T., 1999, The common r
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212 with respect to the physical pr
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214 The problem under consideration
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216 0 B @ TI mudshale =0:034, =0:
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218 exact velocities for the horizo
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220 ACCURACY OF SECTORIAL APPROXIMA
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222 Sayers, C. M., 1994, P-wave pro
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224 The forward model used for the
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226 0.2 (a) 0.1 Amp(n) 0 −0.1 −
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228 1 1 P(x,t) 0.5 P(x,t) 0.5 0 0 1
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230 KALMAN - WIENER The integral eq
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232 (2) Definition of the state vec
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234 0.2 0.15 0.1 0.05 Amp(n) 0 −0
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236 0 0 0 100 100 100 200 200 200 3
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238 Mendel, J., Nashi, N., and Chan
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240 One of the first methods which
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242 a limited time range while the
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244 Offset (km) 0.5 1.5 2.5 Figure
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246 where u 0 j is the conjugate tr
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248 CONCLUSION Coherency analysis o
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250 Montgomery, D. C., and Runger,
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252
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254 2. 3. 4. Macromodel determinati
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256 Research students: Ingo Koglin
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258 João Luis Martins Migration an
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260
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262 Elf Exploration UK plc 30 Bucki
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264 PGS Seres AS P.O. Box 354 Stran
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266 Robert Essenreiter received his
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268 L.W.B. Leite Professor of Geoph
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270 Melanie Pohl is dealing with wa
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272 The first two years of this tim
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274 scientist in Karlsruhe and at C