This invention relates generally to the field of geophysical prospecting, and more particularly to the processing of seismic data. Specifically, the disclosure describes a method for migrating seismic data with efficient calculation at each image point of common reflection angle or common azimuth angle gathers or gathers including both common reflection angles and common azimuth angles.
In complex geological environments, wave equation migration is recognized to be the best imaging technique currently available for imaging seismic data. Wave equation migration comes in two forms usually called WEM and RTM. In WEM (“Wave Equation Migration”) energy is back propagated from the receivers using a one-way wave equation, and forward propagated from the corresponding source. The wave fields are cross correlated at each image point to create the subsurface seismic image. This method can produce good images for reflectors whose dip is relatively shallow. In RTM (“Reverse Time Migration”) the wave field at the receivers is back-propagated using a two-way wave equation, and is cross correlated with energy forward propagated from the source. This method can produce good images at all reflector dips, but is more expensive than WEM by a factor typically in the range of 4-10. However it is not straightforward with either method to efficiently produce common reflection angle gathers. Such gathers are useful in interpretation of the seismic images and also in velocity analysis. It is also possible to work with surface offset gathers; however these are less useful than angle gathers in complex imaging situations because they do not handle multipathing.
Current Technology
One way of deriving angle domain image gathers (Xie and Wu, 2002) uses local plane wave decomposition. This method has the disadvantage that it requires computation of a local Fourier transform, and is therefore not computationally efficient if angle gathers are required at many image points.
In wave equation migration methods generally, the image is produced by an imaging condition such as:
DM({right arrow over (x)})=∫dωps({right arrow over (x)},ω)pr*({right arrow over (x)},ω) (1)
where the subscripts s and r respectively label the source and receiver side wave fields, the source side wave field being forward propagated from a source location, and the receiver side wave field being back propagated from receiver locations. As is well known all such cross correlations may be performed in either the frequency or the time domain. For the sake of brevity, in this document the equations are written in the frequency domain, but should be understood to apply in either domain. The symbol * means the complex conjugate. The label M refers to the fact that the data have been migrated to form an image at point {right arrow over (x)}. [Notation: in the following text, all vectors are presumed to be in 3D and are denoted by symbols with an arrow over them (e.g. {right arrow over (x)}). Symbols with a caret over them (e.g. {circumflex over (n)}) are unit vectors.]Equation 1 refers to the simplest type of model which only includes P-waves in an isotropic medium. The general case will be discussed later in connection with equation 12.
Another way of creating angle gathers (Sava and Fomel, 2005) displaces image points from the source and receiver side wave fields ps and pr, producing an image DM by cross correlating as follows:
DM({right arrow over (x)},{right arrow over (h)})=∫dωps({right arrow over (x)}−{right arrow over (h)},ω)pr*({right arrow over (x)}+{right arrow over (h)},ω) (2)
This cross correlation step in processing is a generalization of the previous imaging condition and would normally replace that imaging condition in wave equation based imaging. In this case, the output is subsurface offset gathers labeled by the parameter {right arrow over (h)}. This is a non-local method that may smear the spatial resolution of the output. A further problem with this approach is that it requires the computation and storage of data volumes for each value of {right arrow over (h)}. This approach may leads to impractical quantities of data, especially in 3D unless the 3D image space {right arrow over (x)} is sampled on a coarse grid.
In a general embodiment, the invention is a method for imaging seismic data from a subsurface region and producing, as the data are migrated, common reflection angle or common azimuth gathers or producing gathers that are functions of both common reflection angles and common azimuth angles, comprising performing the following steps on a computer:
(a) computing the stress tensor and local particle velocity of the source side and receiver side (suitably propagated forwards and backwards to selected image points) at a multiplicity of image points,
(b) computing the direction of energy propagation for the source side and receiver side at said selected image points,
(c) converting the direction of energy propagation to the direction of phase variation (the phase velocity),
(d) using this information to construct the reflection angle, or the azimuth angle, or both the reflection angle and the phase angle, and
(e) outputting the result to construct gathers depending on the reflection angle, or the azimuth angle, or both the reflection angle and the phase angle.
In the simplest models, the stress tensor is equal to the negative of the pressure multiplied by a unit tensor, and in an isotropic medium step (c) is unnecessary.
The image value at each of the image points may be computed from a cross correlation of a forward propagated wavefield and a backward propagated wavefield, using either wave equation migration (WEM) or reverse time migration (RTM).
In a more specific embodiment describing migrating shot gathers in an isotropic medium, with reference to the flow chart of
selecting a velocity model for the subsurface region and a set of reflection angle bins (step 31);
forward propagating, using the velocity model, a seismic wavefield from a selected source location, generating a source-side wave field (step 32);
backward propagating, using the velocity model, a seismic wavefield from receiver locations corresponding to the selected source location, generating a receiver-side wave field (step 33);
cross correlating local particle velocity field of said source-side wave field with pressure of said receiver-side wave field at selected image points, resulting in a first cross correlation (step 34);
computing a first unit vector corresponding to said first cross correlation (step 35);
cross correlating local particle velocity field of said receiver-side wave field with pressure of said source-side wave field at said selected image points, resulting in a second cross correlation (step 36);
computing a second unit vector corresponding to said second cross correlation (step 37);
estimating a reflection angle and a reflection angle bin for the selected image points using said first and second unit vectors (step 38); and
cross correlating the pressures of said wave fields at the selected image points yielding a seismic image at the selected image points, and storing the seismic image in a data volume labeled by said reflection angle bin (step 39).
If the words “source” and receiver” are exchanged, an alternative embodiment of the invention called migrating receiver gathers is described.
The last embodiment may be performed alternatively using pressure and particle velocity (already computed for the migration process) to compute the vector describing the energy flow (the “Poynting vector”) on both source-side and receiver-side wave fields. This approach is equivalent to the last above embodiment for isotropic velocities and is advantageous for anisotropic velocities often encountered in practice. In anisotropic formations or explicitly solid media, the stress tensor is calculated instead of the pressure field.
The present invention and its advantages will be better understood by referring to the following detailed description and the attached drawings in which:
The invention will be described in connection with example embodiments. However, to the extent that the following detailed description is specific to a particular embodiment or a particular use of the invention, this is intended to be illustrative only, and is not to be construed as limiting the scope of the invention. On the contrary, it is intended to cover all alternatives, modifications and equivalents that may be included within the scope of the invention, as defined by the appended claims.
A teaching of the present invention is to continue the wave fields as described above, using either WEM or RTM, but to make the computationally inexpensive step of using multiple imaging conditions. For example for P-P imaging in an isotropic medium, the normal imaging condition in WEM and RTM is:
DM({right arrow over (x)})=∫dωps({right arrow over (x)},ω)pr*({right arrow over (x)},ω) (3)
The convolution can of course be performed in either the frequency or time domain. Now, for example, in RTM the downward continuation can be computed in time using the first order equations, where p is pressure, v is local particle velocity, ρ is density, and λ is the bulk modulus:
This means that at each image point the pressure and local particle velocity are both available. Therefore one can also compute:
{right arrow over (s)}M({right arrow over (x)})=∫dω{right arrow over (v)}s({right arrow over (x)},ω)pr*({right arrow over (x)},ω) (6)
This vector points in the direction of P-wave energy propagation at the image point {right arrow over (x)}.
Similarly the vector
{right arrow over (r)}M({right arrow over (x)})=∫dωps({right arrow over (x)},ω){right arrow over (v)}r*({right arrow over (x)},ω) (7)
points in the direction of the receiver side wave field at the image point. At each image point the receiver side pressure and the source side pressure differ from each other by only a factor of the reflection coefficient. In equation (6) if the source side pressure is substituted for the receiver side pressure one obtains a vector (the energy flow vector or Poynting vector) pointing in the direction of {right arrow over (s)}M({right arrow over (x)}) but differing from {right arrow over (s)}M({right arrow over (x)}) by a factor 1/R where R is the reflection coefficient. In equation (7) if the receiver side pressure is substituted for the source side pressure one obtains an output equal to R{right arrow over (r)}M ({right arrow over (x)}). Either method is therefore able to measure the direction of energy flow at the image point. If the above vectors are normalized to be unit vectors ŝ({right arrow over (x)}) and {circumflex over (r)}({right arrow over (x)}), then it follows that:
cos 2α=−ŝ({right arrow over (x)})·{circumflex over (r)}({right arrow over (x)}) (8)
which gives the reflection angle α (see
{circumflex over (n)}=[sin θ cos φ, sin θ sin φ, cos θ] (9)
where θ is the colatitude and φ is the longitude. It can be recovered from ŝ({right arrow over (x)}) and {circumflex over (r)}({right arrow over (x)}) using the equation:
{circumflex over (n)}=(−ŝ+{circumflex over (r)})/(2 cos α) (10)
The foregoing means that at each image point, the image value, as well as the direction of particle motion for both the source side and the receiver side wave fields, can be computed.
The unit vector {circumflex over (m)} is defined by the equation:
{circumflex over (m)}=(ŝ+{circumflex over (r)})/(2 sin α) (11)
and is illustrated in
By computing these quantities at each image point, and storing the images into the appropriate angle and/or azimuth image volume, common reflection angle volumes and/or common azimuth volumes can be computed in the same way as in Common Reflection Angle Migration (CRAM) (Winbow and Clee, 2006), which is incorporated herein by reference in its entirety in all jurisdictions that allow it.
The above description applies to the case of an isotropic medium but can be extended to the case of an anisotropic medium. Explicitly this may be done as follows.
In a general medium, the Poynting vector {right arrow over (S)} gives the direction of energy flow:
Si=−τijvj (12)
where τij is the stress tensor and vj is the local particle velocity. In such media these quantities are calculated as part of the wave propagation computation. Therefore the Poynting vector is immediately available and can be used to define the propagation direction of the source and receiver side wave fields at each image point
As is well known to those skilled in the art, for a simple isotropic model involving only P-waves, the stress tensor is proportional to a unit tensor and the Poynting vector is proportional to the particle velocity vector. Therefore in the case of an isotropic medium the particle velocity vector may be used to define the direction of energy propagation as used in equations (6) and (7).
In a general medium, as explained, for example, in Cerveny (2001) the time averaged Poynting vector is proportional to the group velocity vector (which can be computed from the phase velocity and the anisotropy parameters) through the equation:
{right arrow over (V)}gEav={right arrow over (S)}av (13)
where the subscript “av” signifies time averaging and Eav signifies the time averaged elastic wave field energy density. Therefore either the Poynting vector or the group velocity vector can be used to specify the direction of energy transport. Reflection coefficients are usually given in terms of the phase velocity direction based on the phase velocity Vph, which in an anisotropic medium depends on the direction angles θ and φ of the phase velocity. The phase velocity can be deduced from the group velocity, and the phase reflection angle and azimuth can be found from the group velocity. Explicitly, expressions for the three components of the group velocity can be written as:
where the group velocity is taken to be in the plane φ=0 with a direction specified by the angle θg. These equations are derived in the same way as Tsvankin (2001, Seismic Signatures and Analysis of Reflection Data in Anisotropic Media, publ. Pergamon, pp 6-7) except that the coordinates are rotated around the z-axis by the angle φ. In Tsvankin's work the phase velocity is taken in the plane φ=0. The geometry of the group and phase velocity is shown in
are known from the anisotropy parameters. Thus θ and φ can be determined and the direction of the phase velocity is fixed.
In some cases the magnitude of the Poynting vector may be more uncertain than its direction. In such cases the equations can be solved in terms of the group angles θg and φ in the form:
It usually happens that the quantities
are small (Thomsen, Geophysics 51, 1954-1966 (1986)) in which case the solution of these equations can be found conveniently in first order perturbation theory as:
Two additional steps are found to be advantageous when utilizing the local wave field direction information to produce angle gathers. First, since the wave field (pressure or particle motion) used to compute the propagation direction oscillates in time, the propagation direction is also found to oscillate. To obtain a consistent direction estimate at a given point, a process of smoothing the direction information in a spatial window surrounding the point is applied. This may be done by simply averaging the values of the components of the direction vector in a small rectangular area.
In addition, the construction of the binned angle gathers is different from the normal process of creating a stacked image. For the stacked image, all contributions to the image at a given spatial point are summed together, and this cancels the image at locations where there is no reflector and yields a large contribution at location where a reflector exists. For the angle gathers, one must first compute a reflection angle before summing the image component. At locations where there is no reflector, the reflection angle is meaningless.
Therefore, one must use some criterion to determine which direction vectors correspond to a real reflection event before using them to sum an image value into an angle bin. One way to do this is by comparing the magnitude of the energy propagation directions vectors (before they are normalized to be unit vectors) with the local kinetic energy of the wave field using equation (13) which relates the group velocity, the time averaged energy and the time averaged Poynting vector. If this relationship holds approximately, the image contribution is summed into the appropriate angle bin, otherwise it is rejected as noise.
The foregoing patent application is directed to particular embodiments of the present invention for the purpose of illustrating it. It will be apparent, however, to one skilled in the art, that many modifications and variations to the embodiments described herein are possible. All such modifications and variations are intended to be within the scope of the present invention, as defined in the appended claims. In particular, the description included here refers to P-waves; however those skilled in the art will readily recognize that the present method may be extended to S-waves. Persons skilled in the art will also readily recognize that in practical applications of the invention, at least some of the steps in the present inventive method are performed on or with the aid of a computer, i.e. the invention is computer implemented.
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This application is the National Stage of International Application No. PCT/US2011/033520, that published as WO 2011/152928, filed 22 Apr. 2011, which claims the benefit of U.S. Provisional Application No. 61/350,783 filed 2 Jun. 2010 and U.S. Provisional Application No, 61,472,955, filed 7 Apr. 2011, each of which is incorporated herein by reference, in its entirety, for all purpose. entitled EFFICIENT COMPUTATION OF WAVE EQUATION MIGRATION ANGLE GATHERS, both of which are incorporated by reference herein in their entirety.
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