Annual Report 2000 - WIT
Annual Report 2000 - WIT Annual Report 2000 - WIT
34 β ∗ s q’ x’ x 1 β∗ s x SG G’ q S’ normal ray β∗ s x 3 Figure A-2: Blow-up of Figure A-1 showing the 2D local and ray centered coordinate system at ¢Œ¤ .
Wave Inversion Technology, Report No. 4, pages 35-48 Common reflection surface stack: a new parameter search strategy by global optimization G. Garabito, J. C. R. Cruz, P. Hubral and J. Costa 1 keywords: Imaging, zero-offset simulation, optimization ABSTRACT By using an arbitrary source and receiver configuration a new stack processing called Common Reflection Surface was proposed in the recent years for simulating zero-offset sections. As by products, this technique provides important normal ray associated parameters, to be known: 1) The emergence angle; 2) the radius of curvature of the Normal Incidence Point Wave (NIP); and 3) the radius of curvature of the Normal Wave. It is based on the hyperbolic traveltime paraxial approximation, that is function of the three mentioned normal ray parameters. In this paper we present a new optimization strategy for determining these three parameters and simulating zero-offset section based on the CRS stack formalism. This is a three step in cascade process: 1) Two-parameters global optimization; 2) One-parameter global optimization; and 3) three-parameters local optimization. This new strategy provides high resolution simulated zero-offset sections and very good estimates of the three normal ray parameters. It is also possible to apply it, without too much additional work, this strategy for solving the conflicting dip problem. INTRODUCTION This paper concerns with the simulation of zero-offset seismic section. This is a routine seismic process based on stacking of wave field registered by multi-coverage seismic data to enhance the primary reflection events and to increase the signal-to-noise ratio. The conventional CMP stack or NMO/DMO/STACK techniques given by (Mayne, 1962) and (Hale, 1991) use a macro-velocity model to simulate the zero-offset section. In the last years, several seismic stacking process were proposed by (Gelchinsky, 1989); (Keydar et al., 1993); (Berkovitch et al., 1994); and (Mueller, 1999), which are not dependent on the macro-velocity model, and instead of that use wavefront parameters. One of his new stack method was called Common-Reflection-Surface (CRS) by 1 email: jcarlos@marajo.ufpa.br, german@ufpa.br, peter.hubral@gpi.uni-karlsruhe.de, jesse@ufpa.br 35
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- Page 11 and 12: i TABLE OF CONTENTS Reviews: WIT Re
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- Page 15 and 16: 3 theory. It relates properties of
- Page 17: Imaging 5
- Page 20 and 21: 8 two hypothetical eigenwave experi
- Page 22 and 23: 7 ¢¥£§¦©¨ ; < calculate sear
- Page 24 and 25: 7 7 searches ¡ HNJOL for ¢IHNJML
- Page 26 and 27: 14 Trace no. 1000 1500 2000 0.5 1.0
- Page 28 and 29: 16 CDP number 3100 3000 2900 2800 2
- Page 30 and 31: 18 REFERENCES Höcht, G., de Bazela
- Page 32 and 33: 20 INVERSION BY MEANS OF CRS ATTRIB
- Page 34 and 35: 22 For synthetic data, it is easy t
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- Page 41 and 42: · · v 0 B 0 £ & Ä Ã & v
- Page 43 and 44: 31 Dürbaum, H., 1954, Zur Bestimmu
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- Page 49 and 50: 0 0 ˜ ” Z ˜ ” Z 4 4
- Page 51 and 52: 39 strategy by combining global and
- Page 53 and 54: 41 elled data is presented in Figur
- Page 55 and 56: 43 0.2 Distance [m] 1000 1500 2000
- Page 57 and 58: 45 In Figure 10 we have the optimiz
- Page 59: 47 Gelchinsky, B., 1989, Homeomorph
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- Page 64 and 65: Œ § … Z ‹ Z § õ ø \ ø §
- Page 66 and 67: 54 As stated in Hubral and Krey, 19
- Page 68 and 69: § ó § 56 sequence. We made tes
- Page 70 and 71: 58 precision of the modeled input d
- Page 72 and 73: 60 Cohen, J., Hagin, F., and Bleist
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- Page 77 and 78: £ 65 The details of the theory inv
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- Page 81 and 82: 69 (a) (b) Depth (m) 600 800 Depth
- Page 83 and 84: 71 Langenberg, K., 1986, Applied in
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34<br />
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Figure A-2: Blow-up of Figure A-1 showing the 2D local and ray centered coordinate<br />
system at ¢Œ¤ .
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