Topographic Phase Shift with Applications to Migration and Multiple Prediction Ruiqing He University of Utah Feb. 2005.

Slides:

Advertisements

Similar presentations

Multiple attenuation in the image space Paul Sava & Antoine Guitton Stanford University SEP.

Advertisements

Multiple Removal with Local Plane Waves

Introduction to GeoProbe

Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology.

Processing: zero-offset gathers

Sensitivity kernels for finite-frequency signals: Applications in migration velocity updating and tomography Xiao-Bi Xie University of California at Santa.

Riemannian Wavefield Migration: Wave-equation migration from Topography Jeff Shragge, Guojian Shan, Biondo Biondi Stanford.

Reverse-Time Migration

First Arrival Traveltime and Waveform Inversion of Refraction Data Jianming Sheng and Gerard T. Schuster University of Utah October, 2002.

Interferometric Interpolation of 3D OBS Data Weiping Cao, University of Utah Oct

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)

Wave-Equation Interferometric Migration of VSP Data Ruiqing He Dept. of Geology & Geophysics University of Utah.

SOES6004 Data acquisition and geometry

Wave-Equation Interferometric Migration of VSP Data Ruiqing He Dept. of Geology & Geophysics University of Utah.

Wave-equation MVA by inversion of differential image perturbations Paul Sava & Biondo Biondi Stanford University SEP.

Primary-Only Imaging Condition Yue Wang. Outline Objective Objective POIC Methodology POIC Methodology Synthetic Data Tests Synthetic Data Tests 5-layer.

Wave-equation migration velocity analysis Paul Sava* Stanford University Biondo Biondi Stanford University Sergey Fomel UT Austin.

Reverse-Time Migration By A Variable Grid-Size And Time-Step Method Yue Wang University of Utah.

MULTIPLE PREDICTION & ATTENUATION Ruiqing He University of Utah Feb Feb

Loading of the data/conversion Demultiplexing Editing Geometry Amplitude correction Frequency filter Deconvolution Velocity analysis NMO/DMO-Correction.

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.

Bedrock Delineation by a Seismic Reflection/Refraction Survey at TEAD Utah David Sheley and Jianhua Yu.

Wavefield Prediction of Water-layer Multiples Ruiqing He University of Utah Oct Oct

Depth (m) Time (s) Raw Seismograms Four-Layer Sand Channel Model Midpoint (m)

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.

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,

Imaging Every Bounce in a Multiple G. Schuster, J. Yu, R. He U of Utah.

Imaging of diffraction objects using post-stack reverse-time migration

Interferometric Multiple Migration of UPRC Data

Reverse-Time Migration For 3D SEG/EAGE Salt Model

Crosscorrelation Migration of Free-Surface Multiples in RVSP Data Jianming Sheng University of Utah February, 2001.

Raanan Dafni,  Dual BSc in Geophysics and Chemistry (Tel-Aviv University).  PhD in Geophysics (Tel-Aviv University).  Paradigm Geophysics R&D ( ).

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.

1 Riemannian Wavefield Migration: Imaging non-conventional wavepaths and geometries Jeff Shragge Geophysics Department University.

Automatic selection of reference velocities for recursive depth migration Hugh Geiger and Gary Margrave CREWES Nov 2004.

1 OBS->OBS Extrapolation Interferometry Shuqian Dong and Sherif Hanafy Coarse OBS Virtual SWP.

Impact of MD on AVO Inversion

Wave-equation migration Wave-equation migration of reflection seismic data to produce images of the subsurface entails four basic operations: Summation.

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

Moveout Correction and Migration of Surface-related Resonant Multiples Bowen Guo*,1, Yunsong Huang 2 and Gerard Schuster 1 1 King Abdullah University of.

Velocity Estimation of Friendswood’s Weathering Zone using Fermat’s Interferometric Principle By Chaiwoot Boonyasiriwat University of Utah.

Interferometric Interpolation of 3D SSP Data Sherif M. Hanafy Weiping Cao Gerard T. Schuster October 2009.

LEAST SQUARES DATUMING AND SURFACE WAVES PREDICTION WITH INTERFEROMETRY Yanwei Xue Department of Geology & Geophysics University of Utah 1.

Wave-Equation Waveform Inversion for Crosswell Data M. Zhou and Yue Wang Geology and Geophysics Department University of Utah.

Green’s theorem requires the wavefield P and its normal derivative P n on the measurement surface as the input. In marine exploration, an over/under cable.

Geology 5660/6660 Applied Geophysics 12 Feb 2016

Suppression of multiples from complex sea-floor by a wave- equation approach Dmitri Lokshtanov Norsk Hydro Research Centre, Bergen. Dmitri Lokshtanov Norsk.

Lee M. Liberty Research Professor Boise State University.

Shuqian Dong and Sherif M. Hanafy February 2009 Interpolation and Extrapolation of 2D OBS Data Using Interferometry.

Interpolating and Extrapolating Marine Data with Interferometry

WAVEFIELD PREDICTION OF WATER-LAYER-MULTIPLES

Zero-Offset Data d = L o ò r ) ( g = d dr r ) ( g = d

Dmitri Lokshtanov Norsk Hydro Research Centre, Bergen.

Primary-Only Imaging Condition And Interferometric Migration

Modeling of free-surface multiples - 2

Efficient Multiscale Waveform Tomography and Flooding Method

Acoustic Reflection 2 (distance) = (velocity) (time) *

Modeling of free-surface multiples

Multiple attenuation in the image space

Wavelet estimation from towed-streamer pressure measurement and its application to free surface multiple attenuation Zhiqiang Guo (UH, PGS) Arthur Weglein.

King Abdullah University of Science and Technology

Depth imaging using slowness-averaged Kirchoff extrapolators

3D Seismic Processing Eric Verschuur AES 1530.

—Based on 2018 Field School Seismic Data

LSMF for Suppressing Multiples

Presentation transcript:

Topographic Phase Shift with Applications to Migration and Multiple Prediction Ruiqing He University of Utah Feb. 2005

Outline 1.Wavefield extrapolation. 2.Topographic phase-shift method. 3.Application to migration. 4.Application to multiple prediction. 5.Summary.

Outline 1.Wavefield extrapolation. 2.Topographic phase-shift method. 3.Application to migration 4.Application to multiple prediction. 5.Summary.

Wavefield Extrapolation One-way wave-equation. - Phase-shift method (Gazdag, 1984). Iterative (depth-by-depth) implementation. Horizontal velocity variation: - PSPI, Split-step, Fourier-FD, etc. Irregular surfaces.

Reshef’s Approach for Topography Geophone line Datum lines

Issues with Reshef’s Approach Non-uniform geophone spacing problem

Outline 1.Wavefield extrapolation. 2.Topographic phase-shift method. 3.Application to migration. 4.Application to multiple prediction. 5.Summary.

Topographic Phase-shift Method z = 0 z = Z(x)

Synthetic Test z = 0 z = Z(x)

A Part of SMAART DATA

Extrapolation to Water Bottom

Reconstruction

Waveform Comparison

Outline 1.Wavefield extrapolation. 2.Topographic phase-shift method. 3.Application to migration. 4.Application to multiple prediction. 5.Summary.

Mapleton Land Seismic Data

Acquisition Geometry 20 m 78 m

Topographic Phase-shift Migration F2 F3 F4F5 f6

Waveform Tomography (Sheng and Buddensiek, 2004)

Outline 1.Wavefield extrapolation. 2.Topographic phase-shift method. 3.Application to migration. 4.Application to multiple prediction. 5.Summary.

Water-layer Multiple (WLM) Major free-surface multiples in marine data. Can be very precisely predicted. Very few acquisition requirements. (even in a single shot gather).

Finite-difference Experiments Only one type WLM can be predicted. Unpredictable WLM resemble their predictable counterparts. Improvement can be made by using the receiver-side ghost rather than the data in the prediction.

Unocal Data COG (177m)

Predicted WLM

Waveform Comparison At a geophone above non-flat water bottom At a geophone above flat water bottom

WLM Attenuation

A Shot Gather

WLM Prediction in The Shot Gather

WLM Suppression in Shot Gather

A NMO Panel

A NMO Panel after Demultiple

Stack before Demultiple Offset (m) Time (S)

Stack after Demultiple Time (S) Offset (m)

Poststack Migration before Demultiple

Poststack Migration after Demultiple

3D Synthetic Experiment Sea Floor Reflector dy= 50 m dx= 25 m

3D Synthetic Data

WLM Prediction

WLM Suppression

Outline 1.Wavefield extrapolation. 2.Topographic phase-shift method. 3.Application to migration 4.Application to multiple prediction. 5.Summary.

Summary Topographic phase shift is efficient for wavefield extrapolation from irregular surfaces. It is useful for migration and multiple prediction, especially for large and 3D data sets.