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

Slides:



Advertisements
Similar presentations
(t,x) domain, pattern-based ground roll removal Morgan P. Brown* and Robert G. Clapp Stanford Exploration Project Stanford University.
Advertisements

Illumination, resolution, and incidence-angle in PSDM: A tutorial
Tom Wilson, Department of Geology and Geography Environmental and Exploration Geophysics II tom.h.wilson Department of Geology.
Velocity Analysis Introduction to Seismic ImagingERTH 4470/5470 Yilmaz, ch
Reflection Seismic Processing
Multiple Removal with Local Plane Waves
Multi-Component Seismic Data Processing
Introduction to GeoProbe
I. Basic Techniques in Structural Geology
Mathias Alerini Gemini kollokvium
Reverse-Time Migration
Fundamentals Introduction Seismic waves: Propagation Velocity and Amplitudes Seismogram Measurement systems Sources, receivers, Acquisition strategies.
Occurs when wave encounters sharp discontinuities in the medium important in defining faults generally considered as noise in seismic sections seismic.
Primary-Only Imaging Condition Yue Wang. Outline Objective Objective POIC Methodology POIC Methodology Synthetic Data Tests Synthetic Data Tests 5-layer.
Loading of the data/conversion Demultiplexing Editing Geometry Amplitude correction Frequency filter Deconvolution Velocity analysis NMO/DMO-Correction.
Joint Migration of Primary and Multiple Reflections in RVSP Data Jianhua Yu, Gerard T. Schuster University of Utah.
Bedrock Delineation by a Seismic Reflection/Refraction Survey at TEAD Utah David Sheley and Jianhua Yu.
Pre-Stack Quality Assurance, Noise Removal, and Amplitude Analysis “Squeeze more from your seismic” A commercial R&D collaboration:
Applications of Time-Domain Multiscale Waveform Tomography to Marine and Land Data C. Boonyasiriwat 1, J. Sheng 3, P. Valasek 2, P. Routh 2, B. Macy 2,
Basic Seismic Processing INPUT FILTER CMP Gather NMO STACK MIGRATE DISPLAY GEOM VEL ANAL STATICS MUTE.
Filters  Temporal Fourier (t f) transformation  Spatial Fourier (x k x ) transformation applications  f-k x transformation  Radon (-p x ) transformation.
MD + AVO Inversion Jianhua Yu, University of Utah Jianxing Hu GXT.
4. Spectral Decomposition
Multisource Least-squares Reverse Time Migration Wei Dai.
Tom Wilson, Department of Geology and Geography Environmental and Exploration Geophysics II tom.h.wilson Department of Geology.
Raanan Dafni,  Dual BSc in Geophysics and Chemistry (Tel-Aviv University).  PhD in Geophysics (Tel-Aviv University).  Paradigm Geophysics R&D ( ).
Automatic Wave Equation Migration Velocity Analysis Peng Shen, William. W. Symes HGRG, Total E&P CAAM, Rice University This work supervised by Dr. Henri.
Processing Lab 9 Objectives: - View a timeslice - Consider binning effects on migration - Post stack Migration Sumit VermaBryce Hutchinson.
Attribute- Assisted Seismic Processing and Interpretation 3D CONSTRAINED LEAST-SQUARES KIRCHHOFF PRESTACK TIME MIGRATION Alejandro.
Seismic Reflection Data Processing and Interpretation A Workshop in Cairo 28 Oct. – 9 Nov Cairo University, Egypt Dr. Sherif Mohamed Hanafy Lecturer.
Tom Wilson, Department of Geology and Geography Environmental and Exploration Geophysics II tom.h.wilson Department of Geology.
Migration In a Nutshell Migration In a Nutshell Migration In a Nutshell D.S. Macpherson.
Beach Energy Ltd Lake Tanganyika 2D Marine Seismic Survey
Beach Energy Ltd Lake Tanganyika 2D Marine Seismic Survey Data Processing, 2014 Squelch Tests for Streamer Noise Attenuation Lines BST14B24 and BST14B67.
Impact of MD on AVO Inversion
Seismic Imaging in GLOBE Claritas
Tom Wilson, Department of Geology and Geography Environmental and Exploration Geophysics II tom.h.wilson Department of Geology.
EXPLORATION GEOPHYSICS. EARTH MODEL NORMAL-INCIDENCE REFLECTION AND TRANSMISSION COEFFICIENTS WHERE:  1 = DENSITY OF LAYER 1 V 1 = VELOCITY OF LAYER.
Beach Energy Ltd Lake Tanganyika 2D Transition Zone Seismic Survey
Lee M. Liberty Research Professor Boise State University.
Pitfalls in seismic processing : The origin of acquisition footprint Sumit Verma, Marcus P. Cahoj, Bryce Hutchinson, Tengfei Lin, Fangyu Li, and Kurt J.
Reflection seismograms
Interferometric Interpolation of 3D SSP Data Sherif M. Hanafy Weiping Cao Gerard T. Schuster October 2009.
Introduction to Seismic Reflection Imaging References: J.M. Reynolds, An Introduction to Applied and Environmental Geophysics, John Wiley & Sons,
1 Prestack migrations to inversion John C. Bancroft CREWES 20 November 2001.
Shot-profile migration of GPR data Jeff Shragge, James Irving, and Brad Artman Geophysics Department Stanford University.
Lee M. Liberty Research Professor Boise State University.
Geology 5660/6660 Applied Geophysics 12 Feb 2016
Fast Least Squares Migration with a Deblurring Filter 30 October 2008 Naoshi Aoki 1.
Lee M. Liberty Research Professor Boise State University.
68th EAGE Conference and Exhibition, Vienna 1 Impact of Time Lapse Processing on 4D Simultaneous Inversion The Marlim Field Case Study C. Reiser * 1, E.
MD+AVO Inversion: Real Examples University of Utah Jianhua Yu.
ADVANCED MARINE TUTORIAL
John C. Bancroft and grad students
By Thang Ha & Yuji Kim University of Oklahoma, 2016
Interpolating and Extrapolating Marine Data with Interferometry
Zero-Offset Data d = L o ò r ) ( g = d dr r ) ( g = d
Existing Subsurface Model
Primary-Only Imaging Condition And Interferometric Migration
SEISMIC DATA GATHERING.
Modeling of free-surface multiples - 2
A pseudo-unitary implementation of the radial trace transform
Modeling of free-surface multiples
Wavelet estimation from towed-streamer pressure measurement and its application to free surface multiple attenuation Zhiqiang Guo (UH, PGS) Arthur Weglein.
Making CMP’s From chapter 16 “Elements of 3D Seismology” by Chris Liner.
Depth imaging using slowness-averaged Kirchoff extrapolators
3D Seismic Processing Eric Verschuur AES 1530.
—Based on 2018 Field School Seismic Data
EXPLORATION GEOPHYSICS
Presentation transcript:

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

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

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

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

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

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

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

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

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

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

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

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

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)

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

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!

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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°

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

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

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

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

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

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

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)

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

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

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

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

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

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

December 10th 2007 Software Product Management Massy53 Coding TIKIM on cluster (“blank option”) ** 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

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