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Green's theorem-derived methods for preprocessing seismic data (that is, predicting the reference wave, and reflection data, and then source and receiver de-ghosting) in 2D and 3D, when the pressure P and its normal derivative are input: Release 3
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The documented ISS internal multiple elimination code for a 3 D point source and a 1 D subsurface- the first in a series of M-OSRP internal multiple elimination code deliveries.
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M-OSRP Finite Difference Modeling Code Written by Fang Liu
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Updated EXAMPLES Directory, to Integrate the MOSRP_SU Collection of Seismic Data Processing Codes
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This package contains 2 items:
- The 1D ISS internal multiple attenuation demo scripts, as released in July 2012 within the MOSRP_SU package.
- A new demo script performing 2D ISS internal multiple prediction based on the dip and angle controlled approach presented at the 2012 MOSRP Annual Meeting.
WesternGeco is kindly acknowledged for permission to distribute their synthetic data.
New MOSRP_SU Collection of Seismic Data Processing Codes Based on Seismic Unix
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MOSRP_SU is a software package based on and fully consistent with CWP/SU, composed of a variety of programs developed at M-OSRP.
The current release features:
- A revised and improved version of the Green's theorem marine-data preprocessing codes. The code was rewritten (1) to make it more like M-OSRP's demultiple code (which decreases run time and corrects a bug uncovered in testing at PGS) and (2) to add the "double Dirichlet" Green's function (which enables source-side deghosting when over/under sources are not available).
Like Release 1, Release 2 uses Green's theorem and measurements of P and its normal derivative to deghost P. It is assumed these are measured by a dual-sensor cable or dual (over/under) streamers. Release 2 includes the Green's theorem code, two files containing analytic test data (P and its normal derivative), and user documentation.
- Two new implementations of the leading order ISS internal multiple attenuation algorithm. The first applies to a horizontally layered earth and the second to an earth with lateral variations. Thanks to full control on the algorithm's aperture and capability to accommodate 3-dimensional aperture and dip, the cost of computations can be tightly proportioned to the characteristics of each particular application. Additionally, useful approximated internal multiple predictions can be achieved using a fraction of the computer effort required for the full computation.
Second Release of the 3D ISS Free Surface Multiple Elimination Code (December, 2011)
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This second version of the code (November, 2011) improves upon the initial release (Fall, 2008) at several levels:
- Removed constraints on spatial sample density
- Core loops modified to use fft-shifted data
- Anti-alias feature to prevent spatially aliased portions of the input spectrum from contributing the FS multiple prediction integral
- Free surface multiple prediction integral loop parallelized at thread-level using the OpenMP libraries
- More efficient master process
- Improved wavelet processing options
Cagniard de Hoop Code
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An implementation of the Cagniard de Hoop method "Generation of acoustic waves by an impulsive line source in a fluid/solid configuration with a plane boundary" (A. T. de Hoop and J. H. M. T. van der Hijden, 1983), coded by J. Zhang and discussed in Zhang and Weglein (2006).
Preprocessing Marine Seismic Data Using Green's Theorem
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Release 1 of a planned series of releases of code designed to preprocess marine seismic data using Green's theorem is now available in the sponsor-only section of the M-OSRP website (mosrp.uh.edu).
Release 1 uses Green's theorem and measurements of P and its normal derivative to deghost P. It is assumed these are measured by a dual sensor cable or dual streamers.
Release 1 includes the Green's theorem code, two files containing analytic test data (P and its normal derivative), code to create additional analytic data, and user documentation. The new programs use data in the Seismic Unix format and integrate with all native SU programs.
3D FS ISS Multiple Removal Code
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The 3D free surface inverse scattering series (ISS) multiple removal code was written by Sam Kaplan in 2006. Before the code could be tested or documented, Sam Kaplan began his Ph.D. studies at the University of Alberta.The code was subsequently tested and debugged by Haiyan Zhang and Simon Shaw (ConocoPhillips), Sam Kaplan (University of Alberta), and Zhiqiang Wang (M-OSRP) and with Kris Innanen, the M-OSRPcontact/connection. The linked-to packages represent a current (summer,2009) snap-shot of the code-base. The code is undocumented, but is similar to the 2D free surface ISS multiple removal code, and whose documentation can be found on this web-page. Hence, an understanding of the 3D code should follow from an understanding of the 2D code. One notable exception is the slac library which now uses the GNU auto-tools (http://www.gnu.org/software/autoconf/) for installation.
Forward Modeling Code
For the M-OSRP internal multiple attenuation project, we test the code using synthetic data sets. To that end, we have finite difference code which produces data for an acoustic, isotropic and non-viscous 2D model, and a line source.
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Older Version:
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Extinction Theorem Wavelet Estimation
M-OSRP wavelet estimation using the extinction theorem.
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Extinction Theorem Deghosting
Our implementation of the extinction theorem deghosting algorithm applicable to 1.5D and 2D data-sets.
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Contact: Jingfeng Zhang (z_jingfeng@yahoo.com)
Free Surface Multiple Elimination Code
M-OSRP free surface multiple elimination code applicable to 2D and 1.5D data sets.
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Internal Multiple Attenuation Code
M-OSRP internal multiple attenuation code applicable to 2D and 1.5D data sets.
Current Version (1):
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Current Version (2):
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This version of the IMA code is written for and tested with the IBM Blue Gene architecture. However, it likely also applicable to any large scale distributed computing system, and we encourage its use, as such.
Older Version:
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ICA Adaptive Subtraction:
M-OSRP adaptive subtraction code applicable to the inverse scattering series free surface multiple elimination algorithm.
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Dr. Ken Matson - MOSRP Multiple Attenuation Review:
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