نتایج جستجو برای: seismic method

تعداد نتایج: 1661049  

2012
Filippo Broggini Roel Snieder Kees Wapenaar

Seismic interferometry allows one to create a virtual source inside a medium, assuming a receiver is present at the position of the virtual source. We discuss a method that creates a virtual source inside a medium from reflection data measured at the surface, without needing a receiver inside the medium and, hence, going beyond seismic interferometry. In addition to the reflection data, an esti...

Journal: :Entropy 2015
Francisco Martínez-Álvarez David Gutiérrez-Avilés Antonio Morales-Esteban Jorge Reyes José L. Amaro-Mellado Cristina Rubio-Escudero

A previous definition of seismogenic zones is required to do a probabilistic seismic hazard analysis for areas of spread and low seismic activity. Traditional zoning methods are based on the available seismic catalog and the geological structures. It is admitted that thermal and resistant parameters of the crust provide better criteria for zoning. Nonetheless, the working out of the rheological...

2014
Md. Mafijul Islam

Acquisition design plays a very significant role in seismic exploration and data processing. An optimized seismic acquisition design will require less resources and therefore, it can reduce the total cost of seismic exploration. Nevertheless, finding the optimal locations of sources and receivers in a seismic survey is a long-standing problem which has received less attraction in last few decad...

2012
Roel Snieder Thomas Furtak Yaoguo Li Terrence K. Young Clément Fleury

Migration is a seismic imaging method that consists of creating a representation of the Earth’s subsurface structure from the recording of seismic waves. Migration is essentially equivalent to solving an inverse scattering problem in structurally complex media. Conventional migration algorithms rely on linearized inversion schemes and assume single-scattering dominance. The primary focus of thi...

2008
S. Zein E. Canot J. Erhel

In this paper, we are interested in determining the seismic velocity of a shallow under-ground layer from refraction traveltimes measures. We present a study case taken from an experimental seismic survey. The study case is a wide-angle seismic inversion using experimental traveltimes measures and based on ray tracing technique and genetic algorithms. The hypothesis on the velocity distribution...

1996
Philippe Steeghs Guy Drijkoningen

In this paper we show the implementation of bilinear time-frequency representations in the interpretation of seismic data. In seismic stratigraphy the reeection patterns in seismic data are interpreted in terms of subsurface stratiication and lithological properties. The time-frequency representation clearly elicits seismic reeection patterns and can thus provide useful information on subsurfac...

2017
Kai Chen Zhiwei Miao Aiqun Li

Received: December 19, 2016 Revised: February 06, 2017 Accepted: March 20, 2017 Abstract: Introduction: Seismic isolation has been proven to be an efficient approach to seismic retrofitting of structures based on the concept of reducing the seismic forces by lengthening the structural fundamental vibration period. However, superstructures may collide with each other under seismic excitation as ...

2011
Lingkun Chen Lizhong Jiang Weiguo Long Liping Wang

With the development of high-speed railway in recent years, lots of researchers have been paying more and more attention to the seismic isolation of high-speed railway bridge. The equivalent linear model of hysteretic characteristics of lead rubber bearings (LRB) is presented, the computational method and the varying range of dynamic parameters effecting hysteretic characteristics of LRB are es...

Journal: :نشریه دانشکده فنی 0
شبنم شهبازی دانشگاه صنعتی امیرکبیر عبدالرحیم جواهریان موسسه ژئوفیزیک مجتبی محمدو خراسانی شرکت ملی نفت

geological facies interpretation is essential for reservoir studying. the method of classification and identification seismic traces is a powerful approach for geological facies classification and distinction. use of neural networks as classifiers is increasing in different sciences like seismic. they are computer efficient and ideal for patterns identification. they can simply learn new algori...

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