Results 341 to 350 of about 22,545,449 (395)

Seismic Data Reconstruction with Generative Adversarial Networks

80th EAGE Conference and Exhibition 2018, 2018
Summary A main challenge in seismic imaging is acquiring densely sampled data. Compressed Sensing has provided theoretical foundations upon which desired sampling rate can be achieved by applying a sparsity promoting algorithm on sub-sampled data.
Ali Siahkoohi, Rajiv Kumar, F. Herrmann
semanticscholar   +1 more source

SEISMIC DATA LABORATORY

1967
Abstract : This report discusses the work performed by SDL for the period April through June 1967, and is primarily concerned with seismic research activities leading to the detection and identification of nuclear explosions as distinguished from earthquake phenomenon.
openaire   +1 more source

Reflection Seismic Data

2018
A systematic seismic investigation of Osaka Bay is presented in this chapter. Multichannel reflection records from 19 lines totaling 456 km in length were acquired by the Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST); the Hydrographic and Oceanographic Department of the Japan Coast Guard (JCG); and ...
Yasuto Itoh, Keiji Takemura
openaire   +1 more source

Seismic data processing apparatus for obtaining alpha values from seismic data

The Journal of the Acoustical Society of America, 1979
It has been found that by treating seismic data as damped oscillatory responses of earth layers in the form of resonating layer bars of rocks, data values, termed alpha values, can be obtained which yield an indication of subsurface composition. Seismic data are accordingly processed by obtaining an indication of the frequency-amplitude spectrum of ...
Lester R. Ruller, Herbert J. Meyer
openaire   +1 more source

Random-noise suppression in seismic data: What can deep learning do?

SEG technical program expanded abstracts, 2018
In the past few years, deep learning has gained great success in image signal and information processing. What are the challenges of seismic denoising compared to image denoising when using deep learning?
Dawei Liu, Wei Wang, Wenchao Chen, Xiaokai Wang, Yanhui Zhou, Shi Zhensheng   +5 more
semanticscholar   +1 more source

Seismic Data Processing

1986
In this chapter, a simplified processing stream for marine data is described, and then modifications in the stream are included along with modification rationales. The basic marine processing stream is given in table 10.1. Then a simplified processing stream for land data and modifications thereof are described.
openaire   +1 more source

Long Beach 3D Seismic Survey: Data Mining Continuous Passive Seismic Data

Proceedings, 2013
Autonomous-type seismic data recording systems for active-source seismic reflection exploration surveys provide a valuable by-product: a continuous seismic recording from a dense seismic network over the survey area. This dense exploration network serves as a scaled-down version of the global passive seismic network that provides natural seismicity ...
D. Hollis, C. Cox, R. Clayton, F. Lin, D. Li, B. Schmandt   +5 more
openaire   +1 more source

Biological noise on seismic data

SEG Technical Program Expanded Abstracts 1993, 1993
ABSTRACT The geophysicist increases the resolution of the subsurface by using closely-spaced detectors. Ambient noise becomes more important with the short recording arrays so as to increase the importance of biological noise.
openaire   +1 more source

Seismic data gather conditioning for prestack seismic data inversion

International Geophysical Conference, Qingdao, China, 17-20 April 2017, 2017
Gang Yu, Yusheng Zhang, Ximing Wang, Benjing Liu, Xing Liang, Scott Singleton, Maggie Smith   +6 more
openaire   +1 more source

Seismic data gather conditioning for prestack seismic data inversion

International Geophysical Conference, Beijing, China, 24-27 April 2018, 2018
Gang Yu, Yusheng Zhang, Ximing Wang, Xing Liang, Benjing Liu   +4 more
openaire   +1 more source