Multiple attenuation using inverse data processing in the plane‐wave domain

2008 ◽  
Author(s):  
Jitao Ma ◽  
Mrinal K. Sen ◽  
Xiaohong Chen
Keyword(s):  
Plane Wave ◽  
Data Processing ◽  
Multiple Attenuation

Free-surface multiple attenuation using inverse data processing in the coupled plane-wave domain

Geophysics ◽  
2009 ◽  
Vol 74 (4) ◽  
pp. V75-V81 ◽  
Author(s):  
Jitao Ma ◽  
Mrinal K. Sen ◽  
Xiaohong Chen
Keyword(s):  
Free Surface ◽  
Plane Wave ◽  
Data Processing ◽  
Synthetic Data ◽  
Primary Energy ◽  
Matrix Inversion ◽  
Data Matrix ◽  
Inversion Method ◽  
Multiple Attenuation ◽  
Invariant Embedding

Free-surface multiples contain a large amount of energy in the seismic data because of large reflectivity of the free surface. We propose a method for free-surface multiple attenuation by a simple muting in the inverse coupled plane-wave domain. Our method is based on inverse data processing and the well-known 2D invariant embedding technique. If the lateral variation in subsurface structure is smooth, the data are well compressed in the 2D coupled plane-wave domain, reducing computation costs and stabilizing the inversion procedure. Surface multiples and primaries are well separated in the inverse coupled plane-wave domain, and multiples can be eliminated by simple muting, which does not damage the primary energy. To reduce artifacts, wraparound, and noise introduced by the frequency-domain data matrix inversion, horizontal and vertical tapers are applied. A least-squares matrix inversion method is chosen to stabilize the inversion. Synthetic data examples show that plane-wave inverse data processing is stable and successful in attenuating free-surface multiples.

Dip selective 2-D multiple attenuation in the plane‐wave domain

Geophysics ◽  
2000 ◽  
Vol 65 (1) ◽  
pp. 264-274 ◽  
Author(s):  
Faqi Liu ◽  
Mrinal K. Sen ◽  
Paul L. Stoffa
Keyword(s):  
Plane Wave ◽  
Source Function ◽  
Real Data ◽  
Wave Theory ◽  
Geological Structure ◽  
Multiple Attenuation ◽  
Invariant Embedding ◽  
Free Data ◽  
Air Water Interface ◽  
Lateral Variations

In many geological settings, strong reflections at the air‐water interface contribute to most of the multiple energy in the recorded seismograms. Here, we describe a method for free‐surface multiple attenuation using a reflection operator model of a seismic record, derived using the well‐known invariant embedding technique. We implement this method in the 2-D plane‐wave domain, where lateral variation of the geological structure of the earth is taken into account by the coupling of different ray parameters. In situations where the lateral variations are smooth, the data are well compressed in the 2-D plane‐wave domain and the resultant bandlimited matrices significantly reduce the computation cost. One important feature of the proposed method is its flexibility, which allows for the removal of multiples from selected reflections. To generate multiple free data, wave‐theory‐based multiple attenuation methods attempt to estimate either the source function or the subsurface reflectivity. Our method takes advantage of both approaches, such that we initially predict multiple traveltime using the reflectivity approach and then seek a source function to predict the amplitudes. Synthetic and real data examples show that this method is stable and successful in attenuating the surface multiples.

3D prediction of surface-related and interbed multiples

Geophysics ◽  
2006 ◽  
Vol 71 (1) ◽  
pp. V1-V6 ◽  
Author(s):  
Moshe Reshef ◽  
Shahar Arad ◽  
Evgeny Landa
Keyword(s):  
Data Processing ◽  
Time Domain ◽  
Final Section ◽  
Real Data ◽  
Computational Procedure ◽  
Detailed Knowledge ◽  
Geological Model ◽  
Multiple Attenuation ◽  
The Time Domain ◽  
Kinematic Properties

Multiple attenuation during data processing does not guarantee a multiple-free final section. Multiple identification plays an important role in seismic interpretation. A target-oriented method for predicting 3D multiples on stacked or migrated cubes in the time domain is presented. The method does not require detailed knowledge of the subsurface geological model or access to prestack data and is valid for both surface-related and interbed multiples. The computational procedure is based on kinematic properties of the data and uses Fermat's principle to define the multiples. Since no prestack data are required, the method can calculate 3D multiples even when only multi-2D survey data are available. The accuracy and possible use of the method are demonstrated on synthetic and real data examples.

To: “A new data‐processing technique for multiple attenuation exploiting differential normal moveout,” by William A. Schneider, E. R. Prince, Jr., and Ben F. Giles, June, 1965, p. 348–362

Geophysics ◽  
1965 ◽  
Vol 30 (5) ◽  
pp. 932-932
Keyword(s):  
Data Processing ◽  
Processing Technique ◽  
Proper Place ◽  
Multiple Attenuation ◽  
The Cross ◽  
Data Processing Technique

In the article entitled “A new data‐processing technique for multiple attenuation exploiting differential normal moveout,” by William A. Schneider, E. R. Prince, Jr., and Ben F. Giles, June, 1965, p. 348–362, page 361, equation (A‐3) should read: [Formula: see text], (A‐3) and the sentence immediately following should read: where [Formula: see text] and [Formula: see text] are the cross‐spectral…. In the last two equations on the bottom of the page, the π was dropped down from its proper place in the exponent.

Memorial

2020 ◽  
Vol 39 (11) ◽  
pp. 839-839
Author(s):  
Enders Robinson ◽  
Tijmen Jan Moser
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Seismic Data ◽  
Digital Data ◽  
Multiple Attenuation ◽  
Digital Data Processing ◽  
Seismic Data Acquisition

Virgil Bardan was known for his contributions to seismic data acquisition and digital data processing related to inversion, sampling, and multiple attenuation. His numerous publications and erudite presentations, in a career that extended for more than 45 years, established him as a leader in exploration geophysics.

Time- and offset-domain internal multiple prediction with nonstationary parameters

Geophysics ◽  
2017 ◽  
Vol 82 (2) ◽  
pp. V105-V116 ◽  
Author(s):  
Kristopher A. Innanen
Keyword(s):  
Plane Wave ◽  
Inverse Scattering ◽  
Time Domain ◽  
Quantitative Interpretation ◽  
Seismic Processing ◽  
Priority Area ◽  
Multiple Attenuation ◽  
Multiple Prediction ◽  
The Time Domain ◽  
Prediction Parameters

Practical internal multiple prediction and removal is a high-priority area of research in seismic processing technology. Its significance increases in plays in which data are complex and sophisticated quantitative interpretation methods are apt to be applied. When the medium is unknown and/or complex, and moveout-based primary/multiple discrimination is not possible, inverse scattering-based internal multiple attenuation is the method of choice. However, challenges remain for its application in certain environments. For instance, when generators are widely distributed and are separated in space by a range of distances, optimum prediction parameters such as [Formula: see text] (which limits the proximity of events combined in the prediction) are difficult to determine. In some cases, we find that no stationary value of [Formula: see text] can optimally predict all multiples without introducing damaging artifacts. A reformulation and implementation in the time domain permits time nonstationarity to be enforced on [Formula: see text], after which a range of possible data- and geology-driven criteria for selecting an [Formula: see text] schedule can be analyzed. The 1D and 1.5D versions of the time-nonstationary algorithm are easily derived and can be shown to add a new element of precision to prediction in challenging environments. Merging these ideas with multidimensional plane-wave domain versions of the algorithm provides 2D/3D extensions.

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