Reverse Time Migration of Prism Waves for Salt Flank Delineation

Slides:



Advertisements
Similar presentations
Illumination, resolution, and incidence-angle in PSDM: A tutorial
Advertisements

Warping for Trim Statics
Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology.
Multi-source Least Squares Migration and Waveform Inversion
Reverse Time Migration of Multiples for OBS Data Dongliang Zhang KAUST.
Locating Trapped Miners Using Time Reversal Mirrors Sherif M. Hanafy Weiping CaoKim McCarter Gerard T. Schuster November 12, 2008.
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.
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)
Wavepath Migration versus Kirchhoff Migration: 3-D Prestack Examples H. Sun and G. T. Schuster University of Utah.
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.
Reverse-Time Migration By A Variable Grid-Size And Time-Step Method Yue Wang University of Utah.
Solving Illumination Problems Solving Illumination Problems in Imaging:Efficient RTM & in Imaging:Efficient RTM & Migration Deconvolution Migration Deconvolution.
CROSSWELL IMAGING BY 2-D PRESTACK WAVEPATH MIGRATION
Joint Migration of Primary and Multiple Reflections in RVSP Data Jianhua Yu, Gerard T. Schuster University of Utah.
Finite-Frequency Resolution Limits of Traveltime Tomography for Smoothly Varying Velocity Models Jianming Sheng and Gerard T. Schuster University of Utah.
Migration and Attenuation of Surface-Related and Interbed Multiple Reflections Zhiyong Jiang University of Utah April 21, 2006.
Interferometric Extraction of SSP from Passive Seismic Data Yanwei Xue Feb. 7, 2008.
Autocorrelogram Migration of Drill-Bit Data Jianhua Yu, Lew Katz, Fred Followill, and Gerard T. Schuster.
Local Migration with Extrapolated VSP Green’s Functions Xiang Xiao and Gerard Schuster Univ. of Utah.
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
1 Local Reverse Time Migration: P-to-S Converted Wave Case Xiang Xiao and Scott Leaney UTAM, Univ. of Utah Feb. 7, 2008.
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.
Automatic Wave Equation Migration Velocity Analysis Peng Shen, William. W. Symes HGRG, Total E&P CAAM, Rice University This work supervised by Dr. Henri.
Making the Most from the Least (Squares Migration) G. Dutta, Y. Huang, W. Dai, X. Wang, and Gerard Schuster G. Dutta, Y. Huang, W. Dai, X. Wang, and Gerard.
Superresolution Imaging with Resonance Scatterring Gerard Schuster, Yunsong Huang, and Abdullah AlTheyab King Abdullah University of Science and Technology.
Mitigation of RTM Artifacts with Migration Kernel Decomposition Ge Zhan* and Gerard T. Schuster King Abdullah University of Science and Technology June.
Seeing the Invisible with Seismic Interferometry: Datuming and Migration Gerard T. Schuster, Jianhua Yu, Xiao Xiang and Jianming Sheng University of Utah.
Least Squares Migration of Stacked Supergathers Wei Dai and Gerard Schuster KAUST vs.
Coherence-weighted Wavepath Migration for Teleseismic Data Coherence-weighted Wavepath Migration for Teleseismic Data J. Sheng, G. T. Schuster, K. L. Pankow,
Subwavelength Imaging using Seismic Scanning Tunneling Macroscope Field Data Example G. Dutta, A. AlTheyab, S. Hanafy, G. Schuster King Abdullah University.
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.
Multiples Waveform Inversion
Moveout Correction and Migration of Surface-related Resonant Multiples Bowen Guo*,1, Yunsong Huang 2 and Gerard Schuster 1 1 King Abdullah University of.
Multisource Least-squares Migration of Marine Data Xin Wang & Gerard Schuster Nov 7, 2012.
Fast Least Squares Migration with a Deblurring Filter Naoshi Aoki Feb. 5,
LEAST SQUARES DATUMING AND SURFACE WAVES PREDICTION WITH INTERFEROMETRY Yanwei Xue Department of Geology & Geophysics University of Utah 1.
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.
G. Schuster, S. Hanafy, and Y. Huang, Extracting 200 Hz Information from 50 Hz Data KAUST Rayleigh Resolution ProfileSuperresolution Profile Sinc function.
Benefits & Limitations of Least Squares Migration W.Dai,D.Zhang,X.Wang,GTSKAUST RTM Least Squares RTM GOM RTM GOM LSRTM.
TGS-NOPEC Geophysical Company Seismic Imaging: How we use waves to see the interior of the earth Apache Symposium on Imaging November 6, 2008 Y. C. Kim,
Fast Least Squares Migration with a Deblurring Filter 30 October 2008 Naoshi Aoki 1.
Shuqian Dong and Sherif M. Hanafy February 2009 Interpolation and Extrapolation of 2D OBS Data Using Interferometry.
Migration of intermediate offset data from two-boat-survey Zongcai Feng Nov 3, 2015.
Interpolating and Extrapolating Marine Data with Interferometry
LSM Theory: Overdetermined vs Underdetermined
Primary-Only Imaging Condition And Interferometric Migration
Making the Most from the Least (Squares Migration)
Fast Multisource Least Squares Migration of 3D Marine Data with
Skeletonized Wave-equation Inversion for Q
Skeletonized Wave-Equation Surface Wave Dispersion (WD) Inversion
Interferometric Least Squares Migration
Overview of Multisource and Multiscale Seismic Inversion
Initial asymptotic acoustic RTM imaging results for a salt model
Least-squares Reverse Time Migration with Frequency-selection Encoding for Marine Data Wei Dai, WesternGeco Yunsong Huang and Gerard T. Schuster, King.
Overview of Multisource and Multiscale Seismic Inversion
King Abdullah University of Science and Technology
Direct horizontal image gathers without velocity or “ironing”
Han Yu, Bowen Guo*, Sherif Hanafy, Fan-Chi Lin**, Gerard T. Schuster
Reduced-Time Migration of Converted Waves
Wave Equation Dispersion Inversion of Guided P-Waves (WDG)
Presentation transcript:

Reverse Time Migration of Prism Waves for Salt Flank Delineation Wei Dai, WesternGeco Gerard T. Schuster, King Abdullah University of Science and Technology Sep 25, 2013

Outline Introduction and motivation Theory Numerical Results Summary L model Salt model Summary

Introduction Problem: Vertical boundaries (salt flanks) are difficult to image because they are usually not illuminated by primary reflections. Solution: Prism waves contain valuable information.

Conventional Method When the known boundaries are embedded in the velocity model, conventional RTM can migrate prism waves correctly.

Recorded Trace 𝒅 𝒈 𝒔 = 𝒅 𝟏 𝒈 𝒔 + 𝒅 𝟐 (𝒈|𝒔) Time (s) 2

Horizontal Reflector Embedded in the Velocity Z (km) 3 X (km) 6 Z (km) 3 Conventional RTM Image

𝒎 𝒎𝒊𝒈 (𝒙)= 𝝎 𝝎 𝟐 𝑾 ∗ (𝝎)𝑮 ∗ 𝒙 𝒔 𝑮 ∗ 𝒙 𝒈 𝒅 𝒈 𝒔 Reverse Time Migration Formula 𝒎 𝒎𝒊𝒈 (𝒙)= 𝝎 𝝎 𝟐 𝑾 ∗ (𝝎)𝑮 ∗ 𝒙 𝒔 𝑮 ∗ 𝒙 𝒈 𝒅 𝒈 𝒔 Angular Freq. Source Spectrum Green’s functions Input Data Z (km) 3 𝒙 𝑮 𝒙 𝒔 = 𝑮 𝒐 𝒙 𝒔 + 𝑮 𝟏 (𝒙|𝒔) 𝑮 𝒙 𝒈 = 𝑮 𝒐 𝒙 𝒈 + 𝑮 𝟏 (𝒙|𝒈)

𝒎 𝒎𝒊𝒈 𝒙 = 𝝎 𝝎 𝟐 𝑾 ∗ 𝝎 𝑮 𝒐 ∗ 𝒙 𝒔 + 𝑮 𝟏 ∗ 𝒙 𝒔 𝑮 𝒐 ∗ 𝒙 𝒈 + 𝑮 𝟏 ∗ 𝒙 𝒈 𝒎 𝒎𝒊𝒈 𝒙 = 𝝎 𝝎 𝟐 𝑾 ∗ 𝝎 𝑮 𝒐 ∗ 𝒙 𝒔 + 𝑮 𝟏 ∗ 𝒙 𝒔 𝑮 𝒐 ∗ 𝒙 𝒈 + 𝑮 𝟏 ∗ 𝒙 𝒈 [ 𝒅 𝟏 𝒈 𝒔 + 𝒅 𝟐 𝒈 𝒔 ] = 𝝎 𝝎 𝟐 𝑾 ∗ 𝝎 [ 𝑮 𝒐 ∗ 𝒙 𝒔 𝑮 𝒐 ∗ 𝒙 𝒈 𝒅 𝟏 𝒈 𝒔 + 𝑮 𝒐 ∗ 𝒙 𝒔 𝑮 𝒐 ∗ 𝒙 𝒈 𝒅 𝟐 𝒈 𝒔 Ellipses + 𝑮 𝟏 ∗ 𝒙 𝒔 𝑮 𝒐 ∗ 𝒙 𝒈 𝒅 𝟏 𝒈 𝒔 + 𝑮 𝒐 ∗ 𝒙 𝒔 𝑮 𝟏 ∗ 𝒙 𝒈 𝒅 𝟏 𝒈 𝒔 Rabbit Ears + 𝑮 𝟏 ∗ 𝒙 𝒔 𝑮 𝒐 ∗ 𝒙 𝒈 𝒅 𝟐 𝒈 𝒔 + 𝑮 𝒐 ∗ 𝒙 𝒔 𝑮 𝟏 ∗ 𝒙 𝒈 𝒅 𝟐 𝒈 𝒔 Prism Wave Kernels + Other terms.] Z (km) 3 X (km) 6

Migration of Prism Waves 𝒎 𝒎𝒊𝒈 = 𝝎 𝝎 𝟐 𝑾 ∗ 𝝎 𝑮 𝟏 ∗ 𝒙 𝒔 𝑮 𝒐 ∗ 𝒙 𝒈 𝒅 𝟐 𝒈 𝒔 𝑮 𝟏 𝒙 𝒔 = 𝝎 𝟐 𝒎 𝒙 ′ 𝑮 𝒐 𝒙 ′ 𝒔 𝑮 𝒐 𝒙 ′ 𝒙 𝒅𝒙′ Born Modeling Z (km) 3 X (km) 6

Migration of Prism Waves 𝑥 𝑔 𝑥 𝑠 𝑥 2 Z (km) 𝑥 1 3 𝑥 2 ′ 𝑥 𝑠 − 𝑥 2 ′ 𝑐 + 𝑥 2 − 𝑥 𝑔 𝑐 = 𝜏 𝑠𝑔 Z (km) 3 X (km) 6

Migration of Prism Waves 𝒎 𝒎𝒊𝒈 = 𝝎 𝝎 𝟐 𝑾 ∗ 𝝎 𝑮 𝒐 ∗ 𝒙 𝒔 𝑮 𝟏 ∗ 𝒙 𝒈 𝒅 𝟐 𝒈 𝒔 𝑮 𝟏 𝒙 𝒈 = 𝝎 𝟐 𝒎 𝒙 ′ 𝑮 𝒐 𝒙 ′ 𝒔 𝑮 𝒐 𝒙 ′ 𝒙 𝒅𝒙′ Born Modeling Z (km) 3 X (km) 6

Migration of Prism Waves Z (km) 3 Z (km) 3 X (km) 6

Outline Introduction and motivation Theory Numerical Results Summary L model Salt model Summary

The L Model Model size: 301 x 601 Source freq: 20 hz shots: 32 geophones: 601 Z (km) 3 X (km) 6

A Shot Gather of the L Model Time (s) 6.4 X (km) 6

Prism Wavepath Z (km) 3 Z (km) 3 X (km) 6

RTM Image /w Smooth Velocity Z (km) 3 X (km) 6 Z (km) 3 Migration Image of Prism Waves

The Salt Model Model size: 601 x 601 Source freq: 20 hz shots: 601 Model size: 601 x 601 Source freq: 20 hz shots: 601 Z (km) geophones: 601 6 X (km) 6

A Shot Gather of the Salt Model Time (s) 10 X (km) 6

RTM with Smooth Velocity Migration Velocity RTM Image Z (km) 6 X (km) 6 X (km) 6

If the Horizontal Reflectors are embedded in the velocity Migration Velocity RTM Image Z (km) 6 X (km) 6 X (km) 6

New Method Migration Velocity Conv. RTM Image Prism Wave Image Z (km) 6 Migration Velocity Conv. RTM Image Prism Wave Image RTM Image Z (km) X (km) 6 6 X (km) 6

New Method Migration Velocity Prism Wave Image Filtered RTM Image Z (km) 6 Migration Velocity X (km) 6 Prism Wave Image Filtered RTM Image Z (km) 6 X (km) 6

Final Image Horizontal Final Image RTM Image Vertical Z (km) 6 Z (km) Z (km) 6 Horizontal Final Image RTM Image Vertical Z (km) X (km) 6 6 X (km) 6

Summary I propose a new method to migrate prism waves separately. Avoid the modification of migration velocity. Reduce cross interference between different waves by migrating different waves in separated steps. Limitations Computational cost is doubled.

Thanks