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SAMPLE IMAGE December 10th 2007 Software Product Management Massy 1 TIKIM “Kirchhoff pre-stack time migration” Overview (Jean-Claude LANCELOT) Meeting.

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Presentation on theme: "SAMPLE IMAGE December 10th 2007 Software Product Management Massy 1 TIKIM “Kirchhoff pre-stack time migration” Overview (Jean-Claude LANCELOT) Meeting."— Presentation transcript:

1 SAMPLE IMAGE December 10th 2007 Software Product Management Massy 1 TIKIM “Kirchhoff pre-stack time migration” Overview (Jean-Claude LANCELOT) Meeting EGEODE Massy

2 December 10th 2007Software Product Management Massy2 TIKIM overview Limited to 2D Marine Processing

3 December 10th 2007 Software Product Management Massy3 Part1: Introduction to time imaging (reminder) Part2: Migration method (Kirchhoff) Part3: Kirchhoff PreSTM in real life: TIKIM Part4: Software / Hardware issues

4 December 10th 2007 Software Product Management Massy4 TIKIM overview TIKIM part 1 “Introduction to Time Imaging” Reminder

5 December 10th 2007 Software Product Management Massy5  “Transformation to Zero Offset” sequence does not provide optimum focusing diffracted events are not preserved in the stacking process crossing events may generate velocity conflicts Migrating the data before stack is the best solution velocities are not picked at migrated position Shortcomings of the “Transformation to Zero Offset” sequence The need for pre-stack migration

6 December 10th 2007 Software Product Management Massy6 Post Stack Time Migration Post stack imaging

7 December 10th 2007 Software Product Management Massy7 Pre Stack Time Migration Pre stack imaging

8 December 10th 2007 Software Product Management Massy8 velocity work load image quality TZO pre stack time migration pre stack depth migration model complexity post stack depth migration post stack time migration

9 December 10th 2007 Software Product Management Massy9 TIKIM overview TIKIM part 2 “Migration Methods”

10 December 10th 2007 Software Product Management Massy10 Kirchhoff migration Kirchhoff Migration principle: Constructive and destructive interferences will recreate the image

11 December 10th 2007 Software Product Management Massy11 Superposition principle Superimpose a wave front chart onto traces. The net result is an accumulation of energy at the migrated position ….so the final reflector image results from constructive interference

12 December 10th 2007 Software Product Management Massy12 TIKIM overview TIKIM part 3 PSTM and TIKIM

13 December 10th 2007 Software Product Management Massy13 Kirchhoff PreSTM in real life Warning: Things to have in mind about TIKIM:  The output of TIKIM is Migrated data!  The picking of velocities after TIKIM is on migrated data (migrated gathers), i.e. direct picking of Migration velocities (very interpretative picking, so need of Client input).  There is no “Stack” output in the TIKIM sequence, but only the Migration. A De- migration can be proposed to obtain an un-migrated stack.  Tikim:  needs only the output target definition  does not care about the input geometry  Tikim 2D: just based on Word 4 (CDP) and Word 20 (Offset)

14 December 10th 2007 Software Product Management Massy14 Kirchhoff PreSTM in real life Schematic Comparison between DMO and TIKIM processing sequences: DMO sequence -Pre-processing. -DMO Velocity picking -DMO Stack -Migration velocities. -Migration. TIKIM sequence -Pre-processing. -TIKIM Velocity picking -TIKIM migration -(De-migration Stack) x x

15 December 10th 2007 Software Product Management Massy15 * TIKIM == 02 TRAFILE=2003,NUMTRA1,IDTRA=me,REWRITE NPE64,MACHINE=PC,DISTRIB,BIMG02 DCDP12.5 IMAGE=(FCDP151,LCDP600) OFFSETS=(D150,ID100,XRM5800,XRP50) N0, LMU2,MUTE2 APERCDP5000 DIPLIM=(T400D20,T800D40,T4000D40,T4500D0) NOALIAS=(FMAX75) LVI1 Target definition - 2D Only definition of the output target!

16 December 10th 2007 Software Product Management Massy16 * TIKIM == 02 TRAFILE=2003,NUMTRA1,IDTRA=me,REWRITE NPE64,MACHINE=PC,DISTRIB,BIMG02 DCDP12.5 IMAGE=(FCDP151,LCDP600) OFFSETS=(D150,ID100,XRM5800,XRP50) N0, LMU2,MUTE2 APERCDP5000, DIPLIM40 NOALIAS=(FMAX75) LVI1 Offset class definition

17 December 10th 2007 Software Product Management Massy17 Kirchhoff PreSTM in real life  migration parameters

18 December 10th 2007 Software Product Management Massy18 * TIKIM == 02 TRAFILE=2003,NUMTRA1,IDTRA=me,REWRITE NPE64,MACHINE=PC,DISTRIB,BIMG02 DCDP12.5 IMAGE=(FCDP151,LCDP600) OFFSETS=(D150,ID100,XRM5800,XRP50) N0, LMU2,MUTE2 APERCDP5000, DIPLIM40 NOALIAS=(FMAX75) LVI1 Dip related parameters geological dip in degrees

19 December 10th 2007 Software Product Management Massy19 * TIKIM == 02 TRAFILE=2003,NUMTRA1,IDTRA=me,REWRITE NPE64,MACHINE=PC,DISTRIB,BIMG02 DCDP12.5, IMAGE=(FCDP151,LCDP600) OFFSETS=(D150,ID100,XRM5800,XRP50) N0 LMU2,MUTE2 APERCDP5000, DIPLIM=(T40D15,T300D45,T6000D20,T8000D30) NOALIAS=(FMAX75) LVI1 Time variant dip limit

20 December 10th 2007 Software Product Management Massy20 dip limit 0° dip limit 20° dip limit 40° dip limit 60° dip limit 80° dip limit 90° Dip limit value 30° reference line

21 December 10th 2007 Software Product Management Massy21 Aperture limitation * TIKIM == 02 TRAFILE=2003,NUMTRA1,IDTRA=me,REWRITE NPE64,MACHINE=PC,DISTRIB,BIMG02 DCDP12.5,IMAGE=(FCDP151,LCDP600) OFFSETS=(D150,ID100,XRM5800,XRP50) N0, LMU2,MUTE2 APERCDP5000 DIPLIM40 NOALIAS=(FMAX75) LVI1 half-width of the migration smile

22 December 10th 2007 Software Product Management Massy22 Dip 30° aperture 9km Aperture limitation 0 12s 6s APERCDP

23 December 10th 2007 Software Product Management Massy23 Dip 90° aperture 16km Aperture limitation 0 12s 6s APERCDP

24 December 10th 2007 Software Product Management Massy24 Kirchhoff PreSTM in real life  noise attenuation

25 December 10th 2007 Software Product Management Massy25 Noise in TIKIM  input noise (addressed by the Pre-Processing) coherent noise  acquisition irregularities (addressed by the regularization)  migration noise (addressed by the Migration Parameters) operator muting aliasing random noise offset/fold irregular amplitudes

26 December 10th 2007 Software Product Management Massy26 Regularization: missing traces on event Missing or irregular data 60m120m240m450m Regularized data 60m120m240m450m

27 December 10th 2007 Software Product Management Massy27 * TIKIM == 02 TRAFILE=2003,NUMTRA1,IDTRA=me,REWRITE NPE64,MACHINE=PC,DISTRIB,BIMG02 DCDP12.5 IMAGE=(FCDP151,LCDP600) OFFSETS=(D150,ID100,XRM5800,XRP50) N0 MUTE1,LMU1, APERCDP5000, DIPLIM40 NOALIAS=(FMAX75) LVI1 Migration operator mute coding LMU1

28 December 10th 2007 Software Product Management Massy28 Post-migration mute * TIKIM == 02 TRAFILE=2003,NUMTRA1,IDTRA=me,REWRITE NPE64,MACHINE=PC,DISTRIB,BIMG02 DCDP12.5 IMAGE=(FCDP151,LCDP600) N0 LMU2,MUTE2 APERCDP5000, DIPLIM40 NOALIAS=(FMAX75) LVI1 REMUTE Based on Word6 input trace

29 December 10th 2007 Software Product Management Massy29 stackTIKIM stackTIKIM stack - REMUTE Poststack mute

30 December 10th 2007 Software Product Management Massy30 Aliasing  what is aliasing ?  dip aliasing  aliasing noise in Kirchhoff migration

31 December 10th 2007 Software Product Management Massy31 filtered + resamplingresampling 4ms Aliasing 2ms sampling aliasing occurs when a signal is undersampled in time, or spatially Signal contain alteration

32 December 10th 2007 Software Product Management Massy32 Dip aliasing a dipping event will be aliased because of spatial undersampling low frequency signal One dip high frequency signal Two dips

33 December 10th 2007 Software Product Management Massy33 Aliasing condition in 2D p < 1 2fd 1 f d p = Dt Dx f max = 1 2pd

34 December 10th 2007 Software Product Management Massy34 Aliasing noise in Kirchhoff migration destructive interferences After summation migration contributions to a flat event constructive interferences Aliasing noise

35 December 10th 2007 Software Product Management Massy35 Noalias coding * TIKIM == 02 TRAFILE=2003,NUMTRA1,IDTRA=me,REWRITE NPE64,MACHINE=PC,DISTRIB,BIMG02 DCDP12.5 IMAGE=(FCDP151,LCDP600) OFFSETS=(D150,ID100,XRM5800,XRP50) N0 LMU2,MUTE2 APERCDP5000, DIPLIM=(T400D20,T800D40,T4000D40,T4500D0) NOALIAS=(FMAX75) LVI1

36 December 10th 2007 Software Product Management Massy36 Kirchhoff PreSTM in real life  3 options of TIKIM (velocity definitions)

37 December 10th 2007 Software Product Management Massy37  3 options in TIKIM: kinematics: raytracing (standard processing) straight ray (default) anelliptic

38 December 10th 2007 Software Product Management Massy38 Ray kinematics v1v1 v2v2 v3v3 v4v4 t x v rms ray tracing straight ray Anelliptic (shifted hyperbolae)

39 December 10th 2007 Software Product Management Massy39 New ray tracing : anisotropic & Turning-waves Kinematics 2 nd order NMO 4 th order NMO High order NMO terms Straight Ray Operator Anelliptic Operator RAYTRACE (Turning Waves > 90°) 40° 50° >90°

40 December 10th 2007 Software Product Management Massy40 * TIKIM == 02 TRAFILE=2003,NUMTRA1,IDTRA=me,REWRITE NPE64,MACHINE=PC,DISTRIB,BIMG02 DCDP12.5 IMAGE=(FCDP151,LCDP600) OFFSETS=(D150,ID100,XRM5800,XRP50) N0 LMU2,MUTE2 APERCDP5000, DIPLIM40 NOALIAS=(FMAX75) LVI1 Straight Rays (up to 40 degrees) kinematics coding

41 December 10th 2007 Software Product Management Massy41 * TIKIM == 02 TRAFILE=2003,NUMTRA1,IDTRA=me,REWRITE NPE64,MACHINE=PC,DISTRIB,BIMG02 DCDP12.5 IMAGE=(FCDP151,LCDP600) OFFSETS=(D150,ID100,XRM5800,XRP50) N0 LMU2,MUTE2 APERCDP5000, DIPLIM50 NOALIAS=(FMAX75) LVI1,LSH1 Anelliptic (up to 50 degrees) kinematics coding Time shift library

42 December 10th 2007 Software Product Management Massy42 * TIKIM == 02 TRAFILE=2003,NUMTRA1,IDTRA=me,REWRITE NPE64,MACHINE=PC,DISTRIB,BIMG02 DCDP12.5 IMAGE=(FCDP151,LCDP600) OFFSETS=(D150,ID100,XRM5800,XRP50) N0 LMU2,MUTE2 APERCDP5000, DIPLIM=(T0,D150,T3500,D120,T6000,D40), NOALIAS=(FMAX75) LVI1,LSH1,RAYTRACE, TREND=local:/trendfile.cst Ray Tracing (more than 50 degrees) (standard processing) kinematics coding Smoothed trend

43 December 10th 2007 Software Product Management Massy43 Velocities in TIKIM  velocity analysis coding methodology

44 December 10th 2007 Software Product Management Massy44 * TIKIM == 02 TRAFILE=2003,NUMTRA1,IDTRA=me,REWRITE NPE64,MACHINE=PC,DISTRIB,BIMG02 DCDP12.5 IMAGE=(FCDP151,LCDP600) OFFSETS=(D150,ID100,XRM5800,XRP50) N0 LMU2,MUTE2 APERCDP5000 DIPLIM=(T400D20,T800D40,T4000D40,T4500D0) NOALIAS=(FMAX75) ATTRIBUT=VELOCITY, CSTSCAN=(3000,3400,…,4600,5000) Constant velocity scan complex 2D geology with no velocity a priori

45 December 10th 2007 Software Product Management Massy45 3000 m/s 3400 m/s 3800 m/s 4200 m/s 4600 m/s 5000 m/s Constant velocity scan

46 December 10th 2007 Software Product Management Massy46 Percentage velocity scan * TIKIM == 02 TRAFILE=2003,NUMTRA1,IDTRA=me,REWRITE NPE64,MACHINE=PC,DISTRIB,BIMG02 DCDP12.5 IMAGE=(FCDP151,LCDP600,ICDP2) OFFSETS=(D150,ID100,XRM5800,XRP50) N0 LMU2,MUTE2 APERCDP5000, DIPLIM40 NOALIAS=(FMAX75) LVI1 ATTRIBUT=VELOCITY, PERSCAN=(91,94,97,100,103,106,109,112)

47 December 10th 2007 Software Product Management Massy47 95% 97% 99% 101% Percentage velocity scan on stack

48 December 10th 2007 Software Product Management Massy48 Velocity percentage scan on gathers 99%99.5%100%100.5%101%

49 December 10th 2007 Software Product Management Massy49 Velocity picking - a word of advice  Start from a smooth model easier to pick the trends Kirchhoff migrations like it smooth  Picking tool: ChronoVista

50 December 10th 2007 Software Product Management Massy50 TIKIM ISOTROPIC Simplified 2D Velocity Model Building Flow Pre-conditioned dataset Demultiple velocities LVI1 Straight-Ray Kirchhoff migration Perturbation Velocity Scan on Migrated Gathers (Reference= smooth demultiple velocities LVI1) Full 2D Kirchhoff migration with LVI3 Migrated Gathers or STACK Back off LVI1 on gathers TIKIM iteration1 Pick Velocity Trend (LVI2) on perturbed Stacks in ChronoVista Pick Final Migration Velocities (LVI3) with GEOVEL in ChronoVista (Reference= LVI2) Velocity Picking TIKIM iteration2

51 December 10th 2007 Software Product Management Massy51 TIKIM overview TIKIM part 4 Software / Hardware issues

52 December 10th 2007 Software Product Management Massy52 Software and hardware issues  Mandatory parameters (2D TIKIM – “blank option”):  TRAFILE=…, NUMTRA…, IDTRA=…, Job run parameters  DCDP Gridding of the Image  DIPLIM Dip limitation  N or NP Weighting (fold compensation)  (LVI) Velocity Model  NOALIAS=(FMAX) Anti-aliasing filter  IMAGE=(FCDP,LCDP) Output Image  BIMG Output loop number

53 December 10th 2007 Software Product Management Massy53 Coding TIKIM on cluster (“blank option”) ** GVRPA@ setenv gvr_local /scr/myproj * DLOOP 01 * INPTR ++ * TIKIM == 02 TRAFILE=2003,NUMTRA1,IDTRA=me,REWRITE NPE64,MACHINE=PC,DISTRIB,BIMG02 DCDP12.5 IMAGE=(FCDP151,LCDP600) OFFSETS=(D150,ID100,XRM5800,XRP50) N0 LMU2,MUTE2 APERCDP5000 DIPLIM=(T400D20,T800D40,T4000D40,T4500D0) NOALIAS=(FMAX75) LVI1 * DLOOP 02 * OUTBD == LBD1 * PROCS X(B1) Scratch disk address

54 December 10th 2007 Software Product Management Massy54 End of the presentation

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