نتایج جستجو برای: seismic reflection data

تعداد نتایج: 2485539  

1997
Fanlin Meng

Meng (1997) used the McConnell crosswell data to show that transmitted arrival traveltimes can be extracted from common receiver gathers (CRG) where the effective source is a tube wave generator. In this report I use the McElroy crosswell data to show that reflection events can be extracted from CRG’s where the effective source is a tube wave generator. This result opens the possibility that mo...

ژورنال: فیزیک زمین و فضا 2016

Land seismic data acquisition in most of cases suffers from obstacles in fields which deviates geometry of the real acquired data from what was designed. These obstacles will cause gaps, narrow azimuth and offset limitation in the data. These shortcomings, not only prevents regular trace distribution in bins, but also distorts the subsurface image by reducing illumination of the target formatio...

1984
Albert Tarantola

The nonlinear inverse problem for seismic reflection data is solved in the acoustic approximation. The method is based on the generalized least-squares criterion, and it can handle errors in the data set and a priori information on the model. Multiply reflected energy is naturally taken into account, as well as refracted energy or surface waves. The inverse problem can be solved using an iterat...

2000
Alexander Kritski Chris Jenkins

Ocean bottom reflectivity has been studied for a simple layered sedimentary model at shallow depth. Reflections from the bottom were determined from standard geophysical reflection data. The plane wave reflections have been obtained as bottom loss (-20log|R|) from the available reflection seismic data. Bottom loss estimated in the 10-250 Hz band are presented as functions of frequency and of an...

2012
Kees Wapenaar Filippo Broggini Roel Snieder

With seismic interferometry a virtual source can be created inside a medium, assuming a receiver is present at the position of the virtual source. Here we discuss a method that creates a virtual source inside a medium from reflection data, without needing a receiver inside the medium. Apart from the reflection data, an estimate of the direct arrivals is required. However, no information about t...

2008
N. Rawlinson J. Hauser M. Sambridge

One of the most common and challenging problems in seismology is the prediction of source-receiver paths taken by seismic energy in the presence of lateral variations in wavespeed. The solution to this problem is required in many applications that exploit the high frequency component of seismic records, such as body wave tomography, migration of reflection data and earthquake relocation. The pr...

ژورنال: ژئوفیزیک ایران 2015
Amin Roshandel Kahoo Azita Nikoo Hamid Reza Siahkoohi Mehdi Sadeghi

Buried channels are one of the stratigraphic hydrocarbon traps. They are often filled with a variety of porous and permeable sediments so they are important in the exploration of oil and gas reservoirs. In reflection seismic data, high-frequency components are sensitive to the channel thickness, whereas, low-frequency components are sensitive to the channel infill materials. Therefore, decompos...

2012
Kees Wapenaar Filippo Broggini Roel Snieder

S U M M A R Y With seismic interferometry a virtual source can be created inside a medium, assuming a receiver is present at the position of the virtual source. Here we discuss a method that creates a virtual source inside a medium from reflection data, without needing a receiver inside the medium. Apart from the reflection data, an estimate of the direct arrivals is required. However, no expli...

2001
Sergey Fomel Jon F. Claerbout Howard A. Zebker James G. Berryman

This dissertation addresses the problem of interpolating irregularly spaced seismic exploration data to regular spatial locations. This problem arises in practice in three-dimensional seismic exploration in such applications as Kirchhoff prestack migration, multiple elimination, waveequation migration, and 4-D seismic monitoring. I formulate data regularization as a linear-estimation problem an...

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