Hybrid one‐way and full‐way wave equation propagator and prestack migration

Author(s):  
Mingqiu Luo ◽  
Shengwen Jin
2015 ◽  
Vol 46 (4) ◽  
pp. 342-348
Author(s):  
Ho Seuk Bae ◽  
Wookeen Chung ◽  
Jiho Ha ◽  
Changsoo Shin

Geophysics ◽  
2003 ◽  
Vol 68 (6) ◽  
pp. 2040-2042 ◽  
Author(s):  
Changsoo Shin ◽  
Seungwon Ko ◽  
Kurt J. Marfurt ◽  
Dongwoo Yang

Geophysics ◽  
1987 ◽  
Vol 52 (2) ◽  
pp. 151-173 ◽  
Author(s):  
C. P. A. Wapenaar ◽  
N. A. Kinneging ◽  
A. J. Berkhout

The acoustic approximation in seismic migration is not allowed when the effects of wave conversion cannot be neglected, as is often the case in data with large offsets. Hence, seismic migration should ideally be founded on the full elastic wave equation, which describes compressional as well as shear waves in solid media (such as rock layers, in which shear stresses may play an important role). In order to cope with conversions between those wave types, the full elastic wave equation should be expressed in terms of the particle velocity and the traction, because these field quantities are continuous across layer boundaries where the main interaction takes place. Therefore, the full elastic wave equation should be expressed as a matrix differential equation, in which a matrix operator acts on a full wave vector which contains both the particle velocity and the traction. The solution of this equation yields another matrix operator. This full elastic two‐way wave field extrapolation operator describes the relation between the total (two‐way) wave fields (in terms of the particle velocity and the traction) at two different depth levels. Therefore it can be used in prestack migration to perform recursive downward extrapolation of the surface data into the subsurface (at a “traction‐free” surface, the total wave field can be described in terms of the detected particle velocity and the source traction). Results from synthetic data for a simplified subsurface configuration show that a multiple‐free image of the subsurface can be obtained, from which the angle‐dependent P-P and P-SV reflection functions can be recovered independently. For more complicated subsurface configurations, full elastic migration is possible in principle, but it becomes computationally complex. Nevertheless, particularly for the 3-D case, our proposal has improved the feasibility of full elastic migration significantly compared with other proposed full elastic migration or inversion schemes, because our method is carried out per shot record and per frequency component.


Geophysics ◽  
1991 ◽  
Vol 56 (2) ◽  
pp. 182-189 ◽  
Author(s):  
Christopher L. Liner

Wave‐equation dip moveout (DMO) addresses the DMO amplitude problem of finding an algorithm which faithfully preserves angular reflectivity while processing data to zero offset. Only three fundamentally different theoretical approaches to the DMO amplitude problem have been proposed: (1) mathematical decomposition of a prestack migration operator; (2) intuitively accounting for specific amplitude factors; and (3) cascading operators for prestack migration (or inversion) and zero‐offset forward modeling. Pursuing the cascaded operator method, wave‐equation DMO for shot profiles has been developed. In this approach, a prestack common‐shot inversion operator is combined with a zero‐offset modeling operator. Both integral operators are theoretically based on the Born asymptotic solution to the point‐source, scalar wave equation. This total process, termed Born DMO, simultaneously accomplishes geometric spreading corrections, NMO, and DMO in an amplitude‐preserving manner. The theory is for constant velocity and density, but variable velocity can be approximately incorporated. Common‐shot Born DMO can be analytically verified by using Kirchhoff scattering data for a horizontal plane. In this analytic test, Born DMO yields the correct zero‐offset reflector with amplitude proportional to the angular reflection coefficient. Numerical tests of common‐shot Born DMO on synthetic data suggest that angular reflectivity is successfully preserved. In those situations where amplitude preservation is important, Born DMO is an alternative to conventional NMO + DMO processing.


Geophysics ◽  
2013 ◽  
Vol 78 (6) ◽  
pp. U77-U88 ◽  
Author(s):  
Qunshan Zhang ◽  
George A. McMechan

The source extrapolation step in wave-equation prestack reverse-time migration gives wavefield polarization information, which can be used to generate angle-domain common-image gathers (ADCIGs) from seismic reflection data from acoustic media. Concatenation of P-wave polarization segments gives wavefield propagation paths (“wavepaths”), which are similar to the raypaths in ray-based velocity tomography. The ADCIGs provide residual depth moveout (RMO) information, from which a system of linear equations is constructed for tomography to solve for the velocity ratio used for velocity updating. An empirical relation between the RMO data and the velocity ratio updates reduces the amount of computation, and is stabilized by the feedback provided by the iterative loop through prestack migration, to RMO, to velocity update, to prestack migration. Correcting the RMOs to flatten the ADGIGs is the convergence condition. Synthetic data for a layered model with a fault successfully illustrates the method.


Geophysics ◽  
1985 ◽  
Vol 50 (12) ◽  
pp. 2458-2472 ◽  
Author(s):  
R. H. Stolt ◽  
A. B. Weglein

Seismic migration and inversion describe a class of closely related processes sharing common objectives and underlying physical principles. These processes range in complexity from the simple NMO‐stack to the complex, iterative, multidimensional, prestack, nonlinear inversion used in the elastic seismic case. By making use of amplitudes versus offset, it is, in principle, possible to determine the three elastic parameters from compressional data. NMO‐stack can be modified to solve for these parameters, as can prestack migration. Linearized, wave‐equation inversion does not inordinately increase the complexity of data processing. The principal part of a migration‐inversion algorithm is the migration. Practical difficulties are considerable, including both correctable and intrinsic limitations in data quality, limitations in current algorithms (which we hope are correctable), and correctable (or perhaps intrinsic) limitations in computer power.


2007 ◽  
Vol 1 (3) ◽  
pp. 366-372
Author(s):  
Jiubing Cheng ◽  
Huazhong Wang ◽  
Jianhua Geng ◽  
Zaitian Ma

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