Long Offset Moveout Approximation in Layered Elastic Orthorhombic Media Zvi Koren and Igor Ravve © 2013, PARADIGM. ALL RIGHTS RESERVED. Locally 1D Orthorhombic Layered Model Multi-layer orthorhombic structure Different azimuthal orientation at each layer Common vertical axis Wave type: Compressional In 1D model, the magnitude and the azimuth of horizontal slowness are the same for all layers © 2013, PARADIGM. ALL RIGHTS RESERVED. 2 Layer Parameters Thickness and Vertical compressional velocity: z i , v P ,i Vertical shear-to-compression velocity ratio: 2 f i 1 vSx1 ,i 2 / vP,i Thomsen-like parameters: 1,i , 2,i , 3,i , 1,i , 2,i , 1,i , 2,i Azimuthal orientation: x1 ,i © 2013, PARADIGM. ALL RIGHTS RESERVED. 3 Effective Model Effective model is presented by a single layer with azimuthal anisotropy that • yields the same moveout as the original layered medium, for any magnitude and azimuth of the horizontal slowness © 2013, PARADIGM. ALL RIGHTS RESERVED. 4 Direct & Parametric Presentation of Azimuthally Dependent Normal Moveout t off , h Direct NMO vs. surface azimuth/offset: Direct NMO vs. phase velocity azimuth/offset: t phs , h NMO vs. phase velocity azimuth/horizontal slowness: hL phs , ph , t phs , ph hT phs , ph phs Lengthwise – offset along phase azimuth Transverse – offset normal to Lengthwise phs 90 © 2013, PARADIGM. ALL RIGHTS RESERVED. 5 Classical Moveout Approximation for ORT Approximation for VTI, Tsvankin & Thomsen (1994) 2 2 2 4 works for t to h A4 h 2 2 2 to V2 to V 2t 2 V 2t 2 A h 2 azimuthal 2 o 2 o 4 4 2 anisotropy V4 V2 A4 Vh A4 2 , A eff 4 2 2 4V2 Vh V2 as well Choices for effective horizontal velocity: Vh MAX Vh ,i , Vh RMS Vh ,i , Vh RMQ Vh ,i Alkhalifah and Tsvankin, 1995: © 2013, PARADIGM. ALL RIGHTS RESERVED. A 1 2 eff 6 Why Parametric Approximation? Fractional moveout approximation has the asymptotic correction factor in the denominator of the nonhyperbolic term, A While it works perfectly for compressional waves in VTI layered medium, it may lead to negative correction factor A for ORT medium It never happens in ORT planes of symmetry, but may occur for some azimuths in between © 2013, PARADIGM. ALL RIGHTS RESERVED. 7 Effective Model for Short Offsets Short-offset effective model has 8 coefficients: • 3 low-order coefficients: fast and slow NMO velocities and slow azimuth • 5 high order coefficients: three effective anellipticities and two additional azimuths © 2013, PARADIGM. ALL RIGHTS RESERVED. 8 Short-Offset Model for Fixed Phase Azimuth Generally (for any azimuth), there are eight shortoffset moveout coefficients For a fixed phase velocity azimuth, there are only one low-order and one high-order short-offset coefficients © 2013, PARADIGM. ALL RIGHTS RESERVED. 9 Effective Model for Fixed Azimuth The short-offset coefficients are related to power series expansion for infinitesimal horizontal slowness To accurately describe the moveout, expansion coefficients are needed also in the proximity of the critical slowness (long-offset parameters) © 2013, PARADIGM. ALL RIGHTS RESERVED. 10 Long-Offset Parameters: Per Azimuth Short-offset parameters are computed in the proximity of the vertical direction, it has no azimuth Long-offset parameters are computed for a proximity of a horizontal direction, characterized by a fixed azimuth. We compute them per azimuth © 2013, PARADIGM. ALL RIGHTS RESERVED. 11 Separation of Long-Offset Parameters Two long-offset coefficients enforce convergence of moveout to correct asymptote for infinite offsets Unlike short-offset parameters related to all layers, the two long-offset parameters are separated The first is related to the “fast” layer (with fastest horizontal velocity for given phase azimuth) and controls the tilt of the asymptote The second is related to all other (“slow”) layers and controls the elevation of the asymptote © 2013, PARADIGM. ALL RIGHTS RESERVED. 12 Gluing (Combining) the Coefficients With the given short-offset and long-offset coefficients, we can “glue” them into a unique continuous function for the whole feasible range of the horizontal slowness Expansions of the synthetized function into a power series for the infinitesimal horizontal slowness and in the proximity of the critical slowness yield the required computed coefficients © 2013, PARADIGM. ALL RIGHTS RESERVED. 13 Short-Offset Expansions Expansions of three moveout components for infinitesimal horizontal slowness hL hT 3 a L p h bL p h 3 aT p h bT p h t t o at 2 ph 4 bt p h © 2013, PARADIGM. ALL RIGHTS RESERVED. Op Op O 5 ph 5 h 4 h (Lengthwise) (Transverse) ph ph p crit 14 Short-Offset Coefficients Lengthwise offset component 3 bL phs U 4 W42 x cos 2 phs W42 y sin 2 phs W44 x cos 4 phs W44 y sin 4 phs pcrit a L phs U 2 W2 x cos 2 phs W2 y sin 2 phs pcrit , Transverse offset component 1 1 3 bT phs W42 x sin 2 phs W42 y cos 2 phs W44 x sin 4 phs W44 y cos 4 phs pcrit 2 2 aT phs W2 x sin 2 phs W2 y cos 2 phs pcrit , Traveltime at phs bt phs 1 2 U 2 W2 x cos 2 phs W2 y sin 2 phs pcrit , 2 3 4 U 4 W42 x cos 2 phs W42 y sin 2 phs W44 x cos 4 phs W44 y sin 4 phs pcrit 4 © 2013, PARADIGM. ALL RIGHTS RESERVED. 15 Long-Offset Expansions Expansions of three moveout components in the proximity of critical slowness c L z fast hL h L, slow O cT z fast hT hT , slow O c t t o, fast t t slow O 1 ph ph p crit 2 ph , 1 Unbounded term includes the small value in the denominator © 2013, PARADIGM. ALL RIGHTS RESERVED. 21 How We Compute Contribution of Slow Layers Contribution of “slow” layers in the lengthwise and transverse offset components and traveltime is computed per slowness azimuth: • Assume in the “fast” layer propagation occurs in the horizontal plane, zenith angle 90 deg. • Applying Snell’s law, compute zenith angle of the phase velocity for each “slow” layers • Given phase velocity direction, compute for each “slow” layer h L, slow , hT , slow , t slow © 2013, PARADIGM. ALL RIGHTS RESERVED. 22 Contribution of Fast Layer into Moveout We assume that the phase velocity direction in the local orthorhombic frame of the “fast” layer is n1, n2 , n3 , where the vertical component is infinitesimal, and the horizontal components are n1 cos phs x1 2 1 n3 , n2 sin phs x1 2 1 n3 x1 is the local ORT axis of the “fast” layer © 2013, PARADIGM. ALL RIGHTS RESERVED. 23 Contribution of Fast Layer (Continued) The horizontal slowness in the “fast” layer is ph sin phs Vphs phs , phs 1 cos phs 2 Vphs phs , phs 2 1 n3 Vphs n1 , n2 , n3 Performing the infinitesimal analysis, we obtain the phase velocity, the polarization vector, the ray velocity components, the components of the lateral propagation and the traveltime vs. the 2 2 infinitesimal parameter 1 ph / pcrit © 2013, PARADIGM. ALL RIGHTS RESERVED. 24 From Coefficients at Two Ends of Slowness Interval to Combined Continuous Moveout The offset components and the traveltime are approximated for the whole feasible range of horizontal slowness with continuous functions Coefficients of continuous functions are obtained by combining short- and long-offset coefficients © 2013, PARADIGM. ALL RIGHTS RESERVED. 25 Combined Moveout Functions The moveout approximation functions are AL p h C L ph hL 3 3 AT p h BT p h CT p h DT p h hT 2 4 2 4 t o At p h Bt p h C t p h Dt p h t 3 BL ph © 2013, PARADIGM. ALL RIGHTS RESERVED. 3 DL ph ph ph p crit 0 ph 1 1 2 ph 26 Intercept Time With the parametric functions, we obtain the moveout approximation in p domain in a straightforward way ph t ph p h ph h ph The horizontal slowness has no transverse component while the offset has both components The intercept time simplifies to p h t p h p h hL p h © 2013, PARADIGM. ALL RIGHTS RESERVED. 28 Test for Multi-Layer Structure # δ1 δ2 δ3 ε1 ε2 γ1 γ2 V, km/s f Δz, km φax 1 0.15 0.15 0 0.20 0.20 0.06 0.06 2.0 0.72 0.5 VTI 2 0.12 -0.08 0.07 0.18 -0.15 0.03 -0.03 3.0 0.74 0.5 20 3 0.09 -0.10 -0.06 0.16 -0.12 0.10 -0.08 4.8 0.75 0.5 110 4 0.13 -0.08 -0.07 0.15 -0.14 0.08 -0.09 3.0 0.76 0.5 60 5 0.16 -0.17 3.5 0.78 0.5 140 0.05 0.12 -0.17 0.05 -0.06 © 2013, PARADIGM. ALL RIGHTS RESERVED. o 29 2.5 0 Lengthwise & transverse offset components vs. horizontal slowness, ψphs=0 23.2 31.3 40.0 15.3 7.6 Relative error of lengthwise & transverse offset components vs. horizontal slowness, ψphs=0 40.0 23.2 31.3 15.3 0 7.6 2.E-03 θphs , deg θphs , deg 2.0 0.E+00 1.5 Exact hx Exact hy Approx hx Approx hy 1.0 0.5 0.0 Relative error Normalized offset components Lengthwise and Transverse Offset Components vs. Slowness for Constant Phase Azimuth -2.E-03 Error hx Error hy -4.E-03 -6.E-03 -8.E-03 0.0 0.2 0.4 0.6 0.8 Normalized horizontal slowness © 2013, PARADIGM. ALL RIGHTS RESERVED. 1.0 0.0 0.2 0.4 0.6 0.8 Normalized horizontal slowness 1.0 30 Lag between Acquisition Azimuth and Phase Velocity Azimuth 12 0 Lag between acquisition and phase velocity azimuths, ψphs=0 31.3 40.0 23.2 15.3 7.6 Lag between acquisition and phase velocity azimuths vs. phase velocity azimuth, θphs=38o 10 θphs , deg. 10 8 Exact Approx 6 4 Azimuthal lag, deg Azimuthal lag, deg 8 6 4 2 Exact Approx 0 -2 -4 2 -6 0.0 0.2 0.4 0.6 0.8 Normalized horizontal slowness 1.0 Const. phase azm, varying reflection angle © 2013, PARADIGM. ALL RIGHTS RESERVED. 0 30 60 90 120 150 Phase velocity azimuth, deg. 180 Const. reflection angle, varying azimuth 31 Traveltime vs. Slowness & its Error for Constant Phase Velocity Azimuth Traveltime vs. slowness, ψphs=0 2.50 0 7.6 15.3 23.2 31.3 Relative error of traveltime vs. slowness, ψphs=0 40.0 1.4E-02 θphs , deg. 7.6 15.3 23.2 31.3 40.0 θphs , deg. 1.2E-02 2.00 1.75 Exact Approx 1.50 Relative time error 2.25 Normalized time 0 1.0E-02 8.0E-03 4.0E-03 1.25 2.0E-03 1.00 0.0E+00 0.0 0.2 0.4 0.6 0.8 Normalized horizontal slowness traveltime vs. slowness © 2013, PARADIGM. ALL RIGHTS RESERVED. 1.0 Error 6.0E-03 0.0 0.2 0.4 0.6 0.8 Normalized horizontal slowness 1.0 error of traveltime vs. slowness 32 Traveltime vs. Offset for Constant Phase Azimuth: Parametric Model and Alkhalifah Strong & Weak Traveltime vs. offset, ψphs=0 36.6 38.8 39.5 39.7 0.04 θphs , deg. Normalized traveltime 3.5 3.0 Exact A Strong A Weak Approx 2.5 2.0 1.5 1.0 Relative error of traveltime 0 4.0 Relative error of traveltime vs. offset, ψphs=0 0 36.6 38.8 39.5 39.7 θphs , deg. 0.03 0.02 A Strong A Weak Approx 0.01 0.00 -0.01 0.0 1.0 2.0 3.0 Normalized offset traveltime vs. offset © 2013, PARADIGM. ALL RIGHTS RESERVED. 4.0 0 1 2 3 Normalized offset 4 error of traveltime vs. offset 33 Lengthwise and Transverse Offset Components vs. Phase Azimuth for Constant Reflection Angle Normalized offset components 1.5 1.0 Exact hx Exact hy Approx hx Approx hy 0.5 0.0 -0.5 0 30 60 90 120 150 Phase velocity azimuth, deg. 180 lengthwise & transverse offset components © 2013, PARADIGM. ALL RIGHTS RESERVED. Absolure error of offset components Lengthwise & transverse offset components vs. phase velocity azimuth, θphs=38o Absolute error of lengthwise & transverse offset components vs. phase velocity azimuth, θphs=38o 4.0E-03 0.0E+00 -4.0E-03 Error hx Error hy -8.0E-03 -1.2E-02 -1.6E-02 0 30 60 90 120 Phase velocity azimuth, deg. 150 180 error of offset components 34 Traveltime vs. Phase Azimuth for Constant Refl. Angle: Parametric and Alkhalifah Strong & Weak Traveltime vs. phase velocity azimuth, θphs=38o Error of traveltime vs. phase velocity azimuth, θphs=38o 0.04 Normalized time 1.50 1.45 1.40 Exact A Strong A Weak Approx 1.35 1.30 1.25 Relative traveltime error 1.55 0.03 0.02 A Strong A Weak Approx 0.01 1.20 0.00 1.15 0 30 60 90 120 150 Phase velocity azimuth, deg. 180 traveltime vs. phase velocity azimuth © 2013, PARADIGM. ALL RIGHTS RESERVED. 0 30 60 90 120 150 Phase velocity azimuth, deg. 180 error of traveltime vs. phase azimuth 35 Conclusions We derived new asymptotic correction of the moveout approximation for ORT layered media The approximation has the same power series expansion of the moveout components as the moveout of the original multi-layer package for • infinitesimal slowness and • nearly critical slowness © 2013, PARADIGM. ALL RIGHTS RESERVED. 40 Conclusions (continued) For infinitesimal slowness, we keep two terms of the moveout series per azimuth (and vertical time) For nearly critical slowness, we keep two terms of the moveout series per azimuth as well One long-offset term characterizes the propagation through the layer with the fastest horizontal velocity, while the other term describes the propagation through the “slower” layers © 2013, PARADIGM. ALL RIGHTS RESERVED. 41 Conclusions (continued) The approximation is parametric: lengthwise and transverse offset components and traveltime are functions of horizontal slowness and its azimuth Parametric functions allow approximating the moveout in both t-x and tau-p domains For wide opening angles the asymptotic correction terms are essential to match the exact ray tracing © 2013, PARADIGM. ALL RIGHTS RESERVED. 42