Overview of Utah Tomography and Modeling/Migration (UTAM) Chaiwoot B., T. Crosby, G. Jiang, R. He, G. Schuster, Chaiwoot B., T. Crosby, G. Jiang, R. He,

Slides:



Advertisements
Similar presentations
Geological Model Depth(km) X(km) 2001 Year.
Advertisements

Adaptive Grid Reverse-Time Migration Yue Wang. Outline Motivation and ObjectiveMotivation and Objective Reverse Time MethodologyReverse Time Methodology.
First Arrival Traveltime and Waveform Inversion of Refraction Data Jianming Sheng and Gerard T. Schuster University of Utah October, 2002.
Local Reverse Time Migration with Extrapolated VSP Green’s Function Xiang Xiao UTAM, Univ. of Utah Feb. 7, 2008.
Local Reverse Time Migration with VSP Green’s Functions Xiang Xiao UTAM, Univ. of Utah May 1, 2008 PhD Defense 99 pages.
Interferometric Interpolation of 3D OBS Data Weiping Cao, University of Utah Oct
Prestack Migration Deconvolution Jianxing Hu and Gerard T. Schuster University of Utah.
Imaging Multiple Reflections with Reverse- Time Migration Yue Wang University of Utah.
Depth (m) Time (s) Raw Seismograms Four-Layer Sand Channel Model Midpoint (m)
Reduced-Time Migration of Converted Waves David Sheley and Gerard T. Schuster University of Utah.
Wave-Equation Interferometric Migration of VSP Data Ruiqing He Dept. of Geology & Geophysics University of Utah.
Wave-Equation Interferometric Migration of VSP Data Ruiqing He Dept. of Geology & Geophysics University of Utah.
Salt Boundary Delineation by Transmitted PS Waves David Sheley.
Primary-Only Imaging Condition Yue Wang. Outline Objective Objective POIC Methodology POIC Methodology Synthetic Data Tests Synthetic Data Tests 5-layer.
Solving Illumination Problems Solving Illumination Problems in Imaging:Efficient RTM & in Imaging:Efficient RTM & Migration Deconvolution Migration Deconvolution.
3-D Migration Deconvolution Jianxing Hu, GXT Bob Estill, Unocal Jianhua Yu, University of Utah Gerard T. Schuster, University of Utah.
Improve Migration Image Quality by 3-D Migration Deconvolution Jianhua Yu, Gerard T. Schuster University of Utah.
Joint Migration of Primary and Multiple Reflections in RVSP Data Jianhua Yu, Gerard T. Schuster University of Utah.
Depth (m) Time (s) Raw Seismograms Four-Layer Sand Channel Model Midpoint (m)
Migration and Attenuation of Surface-Related and Interbed Multiple Reflections Zhiyong Jiang University of Utah April 21, 2006.
Salt Flank Delineation by Interferometric Imaging of Transmitted P-to-S Waves Xiang Xiao Advisor: Gerard T. Schuster Committee: Michael Zhdanov Bob Smith.
1 Interferometric Interpolation and Extrapolation of Sparse OBS and SSP Data Shuqian Dong and G.T.Schuster.
Kirchhoff vs Crosscorrelation
Autocorrelogram Migration of Drill-Bit Data Jianhua Yu, Lew Katz, Fred Followill, and Gerard T. Schuster.
Depth (m) Time (s) Raw Seismograms Four-Layer Sand Channel Model Midpoint (m)
Depth (m) Time (s) Raw Seismograms Four-Layer Sand Channel Model Midpoint (m)
Local Migration with Extrapolated VSP Green’s Functions Xiang Xiao and Gerard Schuster Univ. of Utah.
Midyear Overview of Year 2001 UTAM Results T. Crosby, Y. Liu, G. Schuster, D. Sheley, J. Sheng, H. Sun, J. Yu and M. Zhou J. Yu and M. Zhou.
3-D PRESTACK WAVEPATH MIGRATION H. Sun Geology and Geophysics Department University of Utah.
1 Fast 3D Target-Oriented Reverse Time Datuming Shuqian Dong University of Utah 2 Oct
Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.
MD + AVO Inversion Jianhua Yu, University of Utah Jianxing Hu GXT.
Virtual Source Imaging vs Interferometric Imaging Gerard T. Schuster, Andrey Bakulin and Rodney Calvert.
Interferometric Multiple Migration of UPRC Data
Reverse-Time Migration For 3D SEG/EAGE Salt Model
1 Local Reverse Time Migration: P-to-S Converted Wave Case Xiang Xiao and Scott Leaney UTAM, Univ. of Utah Feb. 7, 2008.
Autocorrelogram Migration for Field Data Generated by A Horizontal Drill-bit Source Jianhua Yu, Lew Katz Fred Followill and Gerard T. Schuster.
Crosscorrelation Migration of Free-Surface Multiples in RVSP Data Jianming Sheng University of Utah February, 2001.
4C Mahogony Data Processing and Imaging by LSMF Method Jianhua Yu and Yue Wang.
Demonstration of Super-Resolution and Super-Stacking Properties of Time Reversal Mirrors in Locating Seismic Sources Weiping Cao, Gerard T. Schuster, Ge.
Multisource Least-squares Reverse Time Migration Wei Dai.
3D Wave-equation Interferometric Migration of VSP Free-surface Multiples Ruiqing He University of Utah Feb., 2006.
Seeing the Invisible with Seismic Interferometry: Datuming and Migration Gerard T. Schuster, Jianhua Yu, Xiao Xiang and Jianming Sheng University of Utah.
Impact of MD on AVO Inversion
New Migration Deconvolution Filters Jianhua Yu University of Utah.
Prestack Migration Intuitive Least Squares Migration Green’s Theorem.
1 Local Reverse Time Migration: Salt Flank Imaging by PS Waves Xiang Xiao and Scott Leaney 1 1 Schlumberger UTAM, Univ. of Utah Feb. 8, 2008.
Velocity Estimation of Friendswood’s Weathering Zone using Fermat’s Interferometric Principle By Chaiwoot Boonyasiriwat University of Utah.
LEAST SQUARES DATUMING AND SURFACE WAVES PREDICTION WITH INTERFEROMETRY Yanwei Xue Department of Geology & Geophysics University of Utah 1.
Wave-Equation Migration in Anisotropic Media Jianhua Yu University of Utah.
Super-virtual Interferometric Diffractions as Guide Stars Wei Dai 1, Tong Fei 2, Yi Luo 2 and Gerard T. Schuster 1 1 KAUST 2 Saudi Aramco Feb 9, 2012.
Interferometric Traveltime Tomography M. Zhou & G.T. Schuster Geology and Geophysics Department University of Utah.
G. Schuster, S. Hanafy, and Y. Huang, Extracting 200 Hz Information from 50 Hz Data KAUST Rayleigh Resolution ProfileSuperresolution Profile Sinc function.
Wave-Equation Waveform Inversion for Crosswell Data M. Zhou and Yue Wang Geology and Geophysics Department University of Utah.
Migration Velocity Analysis of Multi-source Data Xin Wang January 7,
Hydro-frac Source Estimation by Time Reversal Mirrors Weiping Cao and Chaiwoot Boonyasiriwat Feb 7, 2008.
3-D Prestack Migration Deconvolution Bob Estill ( Unocal) Jianhua Yu (University of Utah)
1.1 Seismic Interferometry Optical interferometry.
The Earth’s Near Surface as a Vibroseis Signal Generator Zhiyong Jiang University of Utah.
Jianhua Yu University of Utah Robust Imaging for RVSP Data with Static Errors.
Shuqian Dong and Sherif M. Hanafy February 2009 Interpolation and Extrapolation of 2D OBS Data Using Interferometry.
Enhancing Migration Image Quality by 3-D Prestack Migration Deconvolution Gerard Schuster Jianhua Yu, Jianxing Hu University of Utah andGXT
MD+AVO Inversion: Real Examples University of Utah Jianhua Yu.
Interpolating and Extrapolating Marine Data with Interferometry
Reverse Time Migration
Primary-Only Imaging Condition And Interferometric Migration
4C Mahogony Data Processing and Imaging by LSMF Method
Interferometric Least Squares Migration
Overview of Multisource and Multiscale Seismic Inversion
Wave Equation Dispersion Inversion of Guided P-Waves (WDG)
Presentation transcript:

Overview of Utah Tomography and Modeling/Migration (UTAM) Chaiwoot B., T. Crosby, G. Jiang, R. He, G. Schuster, Chaiwoot B., T. Crosby, G. Jiang, R. He, G. Schuster, J. Sheng, J. Yu, M. Zhou and Xiang Xiao

2004 UTAM Consortium AramcoBP-AmocoBGPGeotomoChevron-TexacoConoco-Phillips IMPINCOSisimageUnocalVeritasWestern-Geco ($24 K/year)

Started 1988 Started sponsors/year10-18 sponsors/year $24,000/year membership$24,000/year membership Benefits : Yearly meeting: Feb. 3-4Benefits : Yearly meeting: Feb. 3-4 Annual+midyr Report Software Goal: Innovative Imaging/Modeling Goal: Innovative Imaging/Modeling UTAM

Jianhua Yu, Min Zhou Gerard T. Schuster University of Utah Interferometric Imaging below Salt And Overburden

Outline Motivation Interferometric Imaging Synthetic Data Conclusions

Outline Motivation Interferometric Imaging Synthetic & Field Data Conclusions

Problems with VSP or CDP Salt Imaging Quality? Salt v(x,y,z) not known Static errors ?

Outline Motivation Interferometric Imaging Synthetic & Field Data Conclusions

Uninteresting Part of Medium How do you remove kinematic effects of propagating through unintersting parts of medium?

Pick Direct Arrival Time T and shift all Traces by T M M {M T M

M {MT Shifting Traces Removes Kinematic Effects Of Propagating through Uninteresting Parts of Medium

M Shifting Traces Removes Kinematic Effects Of Propagating through Uninteresting Parts of Medium

M Shifting Traces Removes Kinematic Effects Of Propagating through Uninteresting Parts of Medium.. M M m(x) = (g, t + t ) gx g MxMxMxMxgx Kirchhoff Migrate psuedo-shot gathers Kirchhoff Migrate psuedo-shot gathers Source Moved to Depth Can replace time-shifted traces by crosscorrelograms

M M M m(x) = (g, t + t ) gx g MxMxMxMxgx Kirchhoff Migrate psuedo-shot gathers Kirchhoff Migrate psuedo-shot gathers Can replace time-shifted traces by crosscorrelograms

M M M m(x) = (g, t + t ) gx g MxMxMxMxgx Kirchhoff Migrate psuedo-shot gathers Kirchhoff Migrate psuedo-shot gathers Can replace time-shifted traces by crosscorrelograms

M M M m(x) = (g, t + t ) gx g MxMxMxMxgx Kirchhoff Migrate psuedo-shot gathers Kirchhoff Migrate psuedo-shot gathers Can replace time-shifted traces by crosscorrelograms

M M M m(x) = (g, t + t ) gx g MxMxMxMxgx Kirchhoff Migrate psuedo-shot gathers Kirchhoff Migrate psuedo-shot gathers Can replace time-shifted traces by crosscorrelograms

M M M m(x) = (g, t + t ) gx g MxMxMxMxgx Kirchhoff Migrate psuedo-shot gathers Kirchhoff Migrate psuedo-shot gathers Can replace time-shifted traces by crosscorrelograms

M M M m(x) = (g, t + t ) gx g MxMxMxMxgx Kirchhoff Migrate psuedo-shot gathers Kirchhoff Migrate psuedo-shot gathers Can replace time-shifted traces by crosscorrelograms

Interferometric Summary Eliminates source statics and uninteresting parts of the medium. Lower source to be near target.

Interferometric Summary Eliminates source+rec statics and uninteresting parts of the medium. Reference layer Lower source+rec. to be near target.

Outline Motivation Interferometric Imaging Synthetic CDP Data & Field Data Conclusions

Shots: 280 Shot interval: 10 m Receivers: 300 Receiver interval: 10 m Temporal interval:1ms X (km) Depth (km) Salt model

X (km) Depth (km) True velocity model

X (km) Time (s) CSG 100 Pick Traveltime Subsalt Reference Reflection

X (km) Depth (km) Kirmig with inaccurate salt dome boundary

X (km) Depth (km) RT migration with inaccurate salt dome boundary

X (km) Depth (km) Standard mig Correct velocity X (km) Standard mig Incorrect velocity RT mig

Outline Motivation Interferometric Imaging Synthetic HSP Data & Field Data Conclusions

0 km 5 km 0 km 5 km Mig. Image+Corr. Vel. 0 km 1.2 s 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km HSP Shot Gather Salt Model HSP Interferometric Imaging

0 km 5 km 0 km 5 km Mig. Image+Corr. Vel. HSP Interferometric Imaging 0 km 1.2 s 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km HSP Shot Gather Salt Model HSP Interferometric Imaging

0 km 5 km 0 km 5 km Mig. Image+Corr. Vel. 0 km 1.2 s 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km Salt Model HSP Shot Gather HSP Image HSP Interferometric Imaging

0 km 5 km 0 km 5 km Mig. Image+Corr. Vel. 0 km 1.2 s 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km Salt Model HSP Shot Gather HSP Image SWI-HSP Image Garbage HSP Interferometric Imaging

0 km 5 km 0 km 5 km Mig. Image+Corr. Vel. 0 km 1.2 s 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km 0 km 1.2 km Salt Model HSP Shot Gather HSP Image SWI-HSP Image Garbage No Need for V HSP Interferometric Imaging

Outline Motivation Interferometric Imaging Synthetic VSP Data & Field Data Conclusions

VSP Data 0 km 2 km 0 km 3 km Image Below Salt Without Knowing Salt Velocity

X (m) Depth (m) Interferometric Image

Well 2 0 Depth (km) 0 3X (km) SEG/EAGE Model 256 Sources V = km/s

Time (s) X (km) X (km) Xcross 60 CRG 60

Depth (km) X (km) Kirchh Mig (45) Xcorr Mig (45) Xcorr. Mig ( 15’)

Outline Motivation Interferometric Imaging Synthetic VSP Data & Field Data Conclusions

Time (s) Depth (ft) Raw Data(CRG15)

Time (s) Depth (ft) Ghosts

Depth (ft) X (ft) 0400 X (ft) Standard migXcorr. mig

SUMMARY Interferometric Imaging: Kinematically equivalent to sources-receivers below datumInterferometric Imaging: Kinematically equivalent to sources-receivers below datum Interferometric TomographyInterferometric Tomography True wave equation statics w/o V(x,y,z)True wave equation statics w/o V(x,y,z) HSP, VSP and CDP dataHSP, VSP and CDP data Salt + Overburden

SUMMARY Interferometric Imaging: Kinematically equivalent to sources-receivers below datumInterferometric Imaging: Kinematically equivalent to sources-receivers below datum Interferometric TomographyInterferometric Tomography True wave equation statics w/o V(x,y,z)True wave equation statics w/o V(x,y,z) HSP, VSP and CDP dataHSP, VSP and CDP data Salt + Overburden

Crosscorrelogram Migration Conclusions Eliminate the static errors in the well No need to know source (RVSP) or receiver location (VSP) Half sensitivity to velocity migration errors than mult. migration by “mirrors”. Increased illumination coverage in the VSP image. VSP ->CDP

Conclusions Loss of some lateral resolution? Be careful about virtual multiple Xcorr Narrow Angle Kirchhoff Wide Angle vs Ghost is weaker than primary Extra summation compared to KM

Outline Motivation Crosscorrelation Migration SEG/EAGE Model 2-D RVSP Field Data Conclusions

Well 2 0 Depth (km) 0 3X (km) SEG/EAGE Model 256 Sources V = km/s

Well 2 0 Depth (km) 03X (km) Receiver interval: 10 m Receiver depth range: km Receiver number: 91 Sample interval: 1 ms Recording length: 3 s Well location: (1.5 km, 0 km) Source interval: 10 m Source number: 256 Acquisition Parameters: 1 km

Time (s) Depth (km) CSG 160

Time (s) Depth (km) Ghosts (CSG 160)

Time (s) X (km) X (km) Xcross 60 CRG 60

Depth (km) X (km) Kirchh Mig (45) Xcorr Mig (45) Xcorr. Mig ( 15’)

Static errors (ms) Well Depth (m) Raw Data Static Errors at Well

Depth (km) 0.5 Kirchhoff Migration Static Error: 0 X (km) Static Error: 25 ms 2.5 Static Error: 50ms

Depth (km) 0.5 Crosscorrelation Migration Static Error: 0 X (km) Static Error: 25ms 2.5 Static Error: 50 ms

Velocity Model Primary vs Multiple Image X (km) Depth (km)

Contents Motivation Crosscorrelation Imaging Condition SEG/EAGE Model 2-D RVSP Field Data Conclusions

Time (s) Depth (ft) Raw Data(CRG15)

Time (s) Depth (ft) Ghosts

524 Trace No. Time (s) xcorr data (muted) Time (s) Trace No. Field Data ( CSG 25 ) Raw data (muted) Master trace

Depth (ft) X (ft) 0400 X (ft) Standard migXcorr. mig

Depth (ft) Standard Well data Xcorr. Exxon Data

Outline Motivation Crosscorrelation Migration SEG/EAGE Model 2-D RVSP Field Data Conclusions

Crosscorrelogram Migration Conclusions Eliminate the static errors in the well No need to know source (RVSP) or receiver location (VSP) Half sensitivity to velocity migration errors than mult. migration by “mirrors”. Increased illumination coverage in the VSP image. VSP ->CDP

Conclusions Loss of some lateral resolution? Be careful about virtual multiple Xcorr Narrow Angle Kirchhoff Wide Angle vs Ghost is weaker than primary Extra summation compared to KM

Acknowledgments UTAM sponsors Exxon for 2-D field data J. Claerbout + J. Rickett II evolved from daylight imaging

Depth (ft) X (ft) 0400 X (ft) Standard migXcorr. mig

Geological Model Depth(km) X(km) (2001)

Migration Result Using Crosscorrelation Imaging Time (s) 2.1 X (km) Too simple? Widen illumination? If there are static errors in well?

Why Use Crosscorrelation Migration? Widen the illumination coverage in the VSP image VSP geometry Equivalent surface geometry Xcorr

Seismic Ghost Reflection Direct Ghost ? Find R(x,z) but not know source location

Direct Ghost 12Directx Directx Master Seismic Ghost Reflection Seismic Interferogram: Correlate Traces t }M m(x) = (g, t + t ) gx g MxMxMxMxgx M Kirchhoff Migrate psuedo-shot gathers Kirchhoff Migrate psuedo-shot gathers Ghost Direct has kinematics of primary reflection x M

Well Source Receiver Primary Direct Wave Ghost RVSP

x g s Ghost Reflection Imaging Condition Ghost Reflection Imaging Condition:

x g s After Crosscorrelation of Two Traces at Locations g & g’

x g s

x g s

Recall Green’s Theorem Every Surface Point = Source Point

Why is there insensitivity to static errors in the well? s g’g x Static errors

Crosscorrelogram Migration Migrated Image Crosscorrelograms Crosscorrelation Imaging Condition

Depth (ft) Well dataXcorr. Migration Field Data

Depth (ft) Well dataStandard Migration Exxon Data

Above Source Imaging{ Wider Coverage VSP Interferometric Summary Wider, taller coverage. Eliminates well statics and uninteresting parts of the medium. M M m(x) = (g, t + t ) gx g MxMxMxMxgx Kirchhoff Migrate psuedo-shot gathers Kirchhoff Migrate psuedo-shot gathers

Shifting Traces Removes Kinematic Effects Of Propagating through Uninteresting Parts of Medium.. M M M m(x) = (g, t + t ) gx g MxMxMxMxgx Kirchhoff Migrate psuedo-shot gathers Kirchhoff Migrate psuedo-shot gathersg Source Moved to Depth Can replace time-shifted traces by crosscorrelograms

m Distance (km) 010 CDP Interferometric Imaging Depth (km) 10 Distance (km) Model KM image with Incorrect velocity km/s Datuming with Reflections sg

m Distance (km) 010 CDP Interferometric Imaging Depth (km) 10 Distance (km) Model KM image with Incorrect velocity km/s Datuming with Reflections sg

m Distance (km) 010 CDP Interferometric Imaging Depth (km) 10 Distance (km) Model KM image with Incorrect velocity km/s Datuming with Reflections sg