Asymptotic pseudounitary stacking operators |

As recognized by Tygel et al. (1994), true-amplitude migration (Schleicher et al., 1993; Goldin, 1992) is the asymptotic inversion of seismic modeling represented by the Kirchhoff high-frequency approximation. The Kirchhoff approximation for a reflected wave (Bleistein, 1984; Haddon and Buchen, 1981) belongs to the class of stacking-type operators (1) with the summation path

the weighting function

and the additional time filter . Here denotes a point at the reflector surface, is the source location, and is the receiver location at the observation surface. The parameter corresponds to the configuration of observation. That is, for the common-shot configuration, for the zero-offset configuration, and for the common-offset configuration (where is the half-offset). The functions and have the same meaning as in the datuming example, representing the one-way traveltime and the one-way geometric spreading, respectively. The function is known as the

where the angles and are formed by the incident and reflected waves with the normal to the reflector at the point , and and are the corresponding velocities in the vicinity of this point. In this paper, I leave the case of converted (e.g., P-SV) waves outside the scope of consideration and assume that equals (e.g., in P-P reflection). In this case, it is important to notice that at the stationary point of the Kirchhoff integral, (the law of reflection), and therefore

The stationary point of the Kirchhoff integral is the point where the stacking curve (41) is tangent to the actual reflection traveltime curve. When our goal is asymptotic inversion, it is appropriate to use equation (44) in place of (43) to construct the inverse operator. The weighted function (42) can include other factors affecting the leading-order (WKBJ) ray amplitude, such as the source signature, caustics counter (the KMAH-index), and transmission coefficient for the interfaces (Chapman and Drummond, 1982; Cerveny, 2001). In the following analysis, I neglect these factors for simplicity.

The model implied by the Kirchhoff modeling integral is the wavefield with the wavelet shape of the incident wave and the amplitude proportional to the reflector coefficient along the reflector surface. The goal of true-amplitude migration is to recover from the observed seismic data. In order to obtain the image of the reflectors, the reconstructed model is evaluated at the time equal to zero. The Kirchhoff modeling integral requires explicit definition of the reflector surface. However, its inverse doesn't require explicit specification of the reflector location. For each point of the subsurface, one can find the normal to the hypothetical reflector by bisecting the angle between the and rays. Born scattering approximation provides a different physical model for the reflected waves. According to this approximation, the recorded waves are viewed as scattered on smooth local inhomogeneities rather than reflected from sharp reflector surfaces. The inversion of Born modeling (Miller et al., 1987; Bleistein, 1987) closely corresponds with the result of Kirchhoff integral inversion. For an unknown reflector and the correct macro-velocity model, the asymptotic inversion reconstructs the signal located at the reflector surface with the amplitude proportional to the reflector coefficient.

As follows from the form of the summation path (41), the integral migration operator must have the summation path

(45) |

to reconstruct the geometry of the reflector at the migrated section. According to equation (8), the asymptotic reconstruction of the wavelet requires, in addition, the derivative filter . The asymptotic reconstruction of the amplitude defines the true-amplitude weighting function in accordance with equation (10), as follows:

The weighting function of the asymptotic pseudo-unitary migration is found analogously to equation (34) as

Unlike true-amplitude migration, this type of migration operator does not change the dimensionality of the input. Several specific cases exist for different configurations of the input data.

Asymptotic pseudounitary stacking operators |

2013-03-03