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 . ASEG 16  th Geop hy si ca l Con ferenc e an d Exh i bi ti on , Fe br ua ry 20 03 , Ad el ai de Ex tend ed Abs tr ac ts Anisotropic prestack depth migration in practice Peter Whiting* Uwe Klein-Helmkamp Carl Notfors Veri tas DGC, Si ngapore Veri tas DGC, Si ngapore Veri tas DGC, Si ngapore  [email protected]  uwe_kle in_h elmkamp @veritasdg c.com carl_no tfors@verita sdgc.com Osman Khan Veritas DGC, Singa pore [email protected]  INTRODUCTION Prestack depth migratio n is a commo nly used seismic data pro ce ssin g too l whenever ima gin g is co mpl ica ted. Mo re co nve ntion al proc essing flows make nume rous assumption s that effectively limit effectiveness to areas with small lateral veloci ty vari ati ons. No such ass umpti ons are made in pre stac k dep th mig ration. As suming the ge os cie ntis t ca n accurately determine the detailed velocity model, the prestack depth migration can accurately focus the recorded energy and produce a precise image. However, conventional prestack depth migration still contains assumptions that can hinder accurate focusing of the recorded seismic energ y. One signif icant assumption is that the lay ers and blo cks of inte rval ve lociti es ma king up the ve loc ity model are isotropic. This means that it is assumed that the instantaneous velocity of sound in these layers is independent of the propag ation direction. However , it is well known that rock layers in sedimentary basins are commonly anisotropic (Thomsen, 1986). The go al of ve loci ty mo de l build ing in pr estac k dept h migration is to define a model accurately enough so that the raypaths o f the seismic energy can be well defined. When the velocity model is good enough to accurately predict the true path of the rays, it can be used to precisely focus the energy fr om the many soundin gs int o a mi gr ate d imag e. I f the velo city model assumes isotro pic prop agatio n, where as the reality is aniso tropic , then the estimated ray path locatio ns can not be co mplete ly accurate and the mig rated image will lose precision. In practic e, there are two commo n sign s that anisotro py is neede d in the velo city mo del. Firstly, the resulting depth s achieved from the prestack depth migration do not tie with those measured by drilling and, secondly, the common-image point gathers might only flatten on the nearer traces during mo del bui ldin g (Mee k et al., 200 2). Co rrec t inc lusi on of aniso tropy into the velo city modellin g can correc t both of these problems. In clud ing aniso tropy in the velo city model buildin g proc ess can be difficult, and is best achieved with the assistance of we ll info rmat io n. The result can be a more pr ec isel y fo cuss ed imag e for better interpreta tion and more reliable amplitude characteristics. RESULTS OF CONVENTIONAL VELOCITY MODEL BUILDING One of the objec tives of conventional (isotro pic) velocity model building for prestack depth migration is to achieve flat co mmon -image po int ga the rs by itera tiv ely upd atin g the velo city mo del and migr ating . Even after cons iderable work and many iterations, it can be found that no velocity change seems to be able to flatten the farther offsets of the common- imag e po int ga the rs. The gath ers sho wn in Fig ure 1 are typical of this situation – the near offset traces are flat, but the energy is overcorrected on the farther offsets. Residual over-correction of the far offsets is a common sign of aniso tropy . It can never be co rrected wh en the building bloc ks of the velo city mo del are isotro pic. It is imperativ e to inco rpora te aniso tropic layers in the velo city mod elling to resolve this problem. SUMMARY Conventional prestack depth migration involves building a velocity model for the subsurface using velocities that are as su med to be is otr opic . Whe n the e ar t h is anisotropic, it is impossible for this conventional earth model to co rrec tly pre dic t the seis mic ray path s and hence to accurately migrate the recorded data. Common prob lems with co nve ntiona l prestac k depth migration are overcorrected common-image point gathers and depth misties with availa ble well data. Applying anisotropic prestack depth migration involves makin g some assumption s abou t the sy mme try of the anisotropy and then determining the vertical velocity and the anis otr op ic par ame ters , del ta and eps ilon. The se parameters were determined using a combination of well inf ormatio n, hig her mo veout ana ly sis and mig rati on scans. The results of a succ essfu l aniso tropic prestac k depth mig ration tie the available well info rmatio n, hav e flat common-image point gathers and have higher resolution and improved focussing. Key words:  anisotropy, prestack depth migration    D   o   w   n    l   o   a    d   e    d    0    6    /    0    2    /    1    4    t   o    1    1    5  .    1    1    3  .    1    2    8  .    4    5  .    R   e    d    i   s    t   r    i    b   u    t    i   o   n   s   u    b    j   e   c    t    t   o    S    E    G    l    i   c   e   n   s   e   o   r   c   o   p   y   r    i   g    h    t   ;   s   e   e    T   e   r   m   s   o    f    U   s   e   a    t    h    t    t   p   :    /    /    l    i    b   r   a   r   y  .   s   e   g  .   o   r   g    /

Anisotropic PSDM in Practice

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. ASEG 16  th 

Geophysical Conference and Exhibition, February 2003, Adelaide Extended Abstracts 

Anisotropic prestack depth migration in practice

Peter Whiting* Uwe Klein-Helmkamp Carl NotforsVeritas DGC, Singapore Veritas DGC, Singapore Veritas DGC, Singapore  [email protected]    [email protected] [email protected] 

Osman KhanVeritas DGC, Singapore [email protected] 

INTRODUCTION

Prestack depth migration is a commonly used seismic data

processing tool whenever imaging is complicated. More

conventional processing flows make numerous assumptions

that effectively limit effectiveness to areas with small lateral

velocity variations. No such assumptions are made in

prestack depth migration. Assuming the geoscientist can

accurately determine the detailed velocity model, the prestack 

depth migration can accurately focus the recorded energy and

produce a precise image.

However, conventional prestack depth migration still contains

assumptions that can hinder accurate focusing of the recorded

seismic energy. One significant assumption is that the layers

and blocks of interval velocities making up the velocity

model are isotropic. This means that it is assumed that the

instantaneous velocity of sound in these layers is independent

of the propagation direction. However, it is well known that

rock layers in sedimentary basins are commonly anisotropic(Thomsen, 1986).

The goal of velocity model building in prestack depth

migration is to define a model accurately enough so that the

raypaths of the seismic energy can be well defined. When the

velocity model is good enough to accurately predict the true

path of the rays, it can be used to precisely focus the energy

from the many soundings into a migrated image. If the

velocity model assumes isotropic propagation, whereas the

reality is anisotropic, then the estimated raypath locations

cannot be completely accurate and the migrated image willlose precision.

In practice, there are two common signs that anisotropy is

needed in the velocity model. Firstly, the resulting depths

achieved from the prestack depth migration do not tie with

those measured by drilling and, secondly, the common-image

point gathers might only flatten on the nearer traces during

model building (Meek et al., 2002). Correct inclusion of 

anisotropy into the velocity modelling can correct both of 

these problems.

Including anisotropy in the velocity model building process

can be difficult, and is best achieved with the assistance of 

well information. The result can be a more preciselyfocussed image for better interpretation and more reliable

amplitude characteristics.

RESULTS OF CONVENTIONAL VELOCITY

MODEL BUILDING

One of the objectives of conventional (isotropic) velocity

model building for prestack depth migration is to achieve flat

common-image point gathers by iteratively updating the

velocity model and migrating. Even after considerable work 

and many iterations, it can be found that no velocity change

seems to be able to flatten the farther offsets of the common-

image point gathers. The gathers shown in Figure 1 are

typical of this situation – the near offset traces are flat, but

the energy is overcorrected on the farther offsets.

Residual over-correction of the far offsets is a common sign

of anisotropy. It can never be corrected when the building

blocks of the velocity model are isotropic. It is imperative to

incorporate anisotropic layers in the velocity modelling to

resolve this problem.

SUMMARY

Conventional prestack depth migration involves building

a velocity model for the subsurface using velocities that

are assumed to be isotropic. When the earth is

anisotropic, it is impossible for this conventional earth

model to correctly predict the seismic raypaths and

hence to accurately migrate the recorded data.

Common problems with conventional prestack depth

migration are overcorrected common-image point gathers

and depth misties with available well data.

Applying anisotropic prestack depth migration involves

making some assumptions about the symmetry of the

anisotropy and then determining the vertical velocity and

the anisotropic parameters, delta and epsilon. These

parameters were determined using a combination of well

information, higher moveout analysis and migration

scans.

The results of a successful anisotropic prestack depth

migration tie the available well information, have flat

common-image point gathers and have higher resolution

and improved focussing.

Key words: anisotropy, prestack depth migration

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. ASEG 16  th 

Geophysical Conference and Exhibition, February 2003, Adelaide Extended Abstracts 

DEFINING THE ANISOTROPY

After observing the effect of anisotropy, it must be defined so

that it can be incorporated in the velocity model and

raytracing required for prestack depth migration.

Anisotropy occurs whenever the instantaneous velocity of 

sound varies with propagation direction. Obviously, this has

the potential to be highly variable and complicated. At

present, anisotropic processing techniques usually make very

simplifying assumptions. It is often assumed that the

anisotropy has transverse symmetry, with either vertical

(VTI), horizontal (HTI) or tilted (TTI) orientation. VTI is the

most common assumption for sedimentary basins, as it

implies that the vertical and horizontal instantaneous

velocities define the axis of symmetry, which is a likely result

of thin beds that have been deposited horizontally.

Even after the simplifying assumption of VTI symmetry has

been made, the vertical velocity and the anisotropyparameters delta and epsilon are required to define the effect

of the anisotropy (assuming that the anisotropy is weak – see

Thomsen, 1986). Delta is the ratio that relates the vertical

velocity and the imaging velocity (i.e. the velocity that

apparently focuses the seismic data for the shorter offsets),

epsilon is the ratio that relates the vertical velocity and the

horizontal velocity. An accurate vertical velocity in

combination with correct deltas will result in depth images

that tie the available well data. Correct epsilons will ensure

that the migrated gathers are flat at the farther offsets (eg.

Hawkins et al., 2001, Hawkins et al., 2002,).

The vertical velocity was derived through careful analysis of 

all available well information. The deltas and epsilons weredefined through inversion of second and fourth order moveout

information. This approach uses the moveout equations of 

Alkhalifah & Tsvankin (1995) and Grechka & Tsvankin

(1997). Short acquisition cables made it difficult to derive

stable epsilons by pure fourth order analysis. Hence,

additional migration scans with varying epsilons were

required to finetune the results. Subsequently, the vertical

velocity was updated using multiple iterations of layer based

manual velocity analysis and tomography in order to account

for regional velocity variations and velocity anomalies

associated with shallow gas and faulting.

RESULTS OF ANISOTROPIC PSDM

Figure 2 shows the resulting common-image point gathers

after the application of anisotropic prestack depth migration.

The gathers are now flatter on the farther offsets because the

anisotropic velocity model is capable of correctly defining the

true raypaths of the seismic energy. When the true raypaths

are known, it is possible to correctly locate the unmigrated

seismic data in its required migrated (image) location. This

also means that all offsets are now being more correctly

focussed and hence not deteriorating the amplitude

characteristics.

Once anisotropy has been incorporated into the model, furtherrefinements can be made with the use of layer based manual

updating and residual curvature analysis (RCA) tomography.

The tomography is a global model updating procedure that

can provide further refinements of the velocity model. It is

capable of making detailed updates that are very difficult to

achieve with iterative manual updating. Figure 3 shows

migrated common-image point gathers before and after RCA

tomography. The gathers have become even flatter and more

focussed – a good indication that the tomographic updates are

helpful.

CONCLUSIONS

Conventional prestack depth migration uses isotropic velocity

models, however, the real situation in sedimentary basins is

commonly anisotropic. The effects of anisotropy are often

seen as residual far-offset curvature on common-image point

gathers and misties of depth migration outputs with available

well data. These effects are signs that the velocity model is

inadequate for the purpose of accurate depth migration.

Improved depth imaging is achieved by incorporating

anisotropy into the velocity modelling and the prestack depthmigration. At present, anisotropy is introduced under

simplified assumptions (usually VTI symmetry) and two

simple parameters, delta and epsilon. These parameters can

be defined by careful analysis of available well and seismic

information. This approach presents a practical way to

determine and apply anisotropic prestack depth migration.

The results of applying anisotropic prestack depth migration

are flatter common-image point gathers and accurate ties with

well data. However, these are just signs of more accurate

migration and better all-round focussing. This commonly

leads to observations of improved resolution (Meek et al.,

2002) and superior continuity and amplitude integrity.

ACKNOWLEDGEMENTS

We would like to thank PTT Thailand for the permission to

publish the seismic data examples.

REFERENCES

Alkhalifah, T., Tsvankin, I., 1995, Velocity analysis for

transversely isotropic media: Geophysics, 60, 1550-1566

Grechka, V., Tsvankin, I., 1997, Inversion of nonhyperbolic

moveout in transversely isotropic media: 67th Ann. Internat.

Mtg., SEG, Expanded Abstracts, 1686-1688

Hawkins, K., Leggott, R. and Williams, G., 2002, An

integrated geoscience approach to reservior imaging using

anisotropic pre-sdm: 72nd Meeting, SEG, Salt Lake City.

Hawkins, K., Kat, H., Leggott, R. and Williams, G., 2001,

Addressing anisotropy in prestack depth migration : a

southern North Sea case study: 63rd Conference and

Exhibition, EAGE, Amsterdam.

Meek, R.A., Anno, P.D., Brewer, J.D. and Coral, M., 2002,

Anisotropic velocity model building and updating for prestack 

depth migration in Indonesia: 72nd Meeting, SEG, Salt Lake

City.

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Anisotropic Prestack Depth Migration Whiting, Klein-Helmkamp, Notfors and Khan  

ASEG 16 th 

Geophysical Conference and Exhibition, February 2003, Adelaide. Extended Abstracts 

Figure 1. Selected common-image point gathers afterconventional, isotropic prestack depth migration. The

isotropic velocity model was the result of two iterations of 

vertical updating and one iteration of tomography. Notice

how all of the farther offsets tend to display overcorrected

energy. The near offset here is 167 m and the far offset is

2492 m.

Figure 2. The same common-image point gathers asshown in Figure 1, but after anisotropic prestack depth

migration. Delta and epsilons are time variant with deltas

ranging from 0.04 to 0.06 and epsilons ranging from 0.03

to 0.17. Notice that the farther offsets are generally much

flatter

 Before RCA Tomography After RCA Tomography

Figure 3. Common-image point gathers after an anisotropic prestack depth migration with the updated model results

from RCA tomography. The gathers are even flatter and the signal shows signs of improved strength and continuity.

This is a common sign of improved focussing, and indicates that the model updates provided by RCA tomography arehelpful.