The Seismic Analyzer: Interpreting and Illustrating 2D Seismic Data [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2008 We present a toolbox for quickly interpreting and illustrating 2D slices of seismic volumetric reflection data. Searching for oil and gas involves creating a structural overview of seismic reflection data to identify hydrocarbon reservoirs. We improve the search of seismic structures by precalculating the horizon structures of the seismic data prior to
Patel, Daniel +4 more
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Seismic modeling using the frozen Gaussian approximation
, 2013 We adopt the frozen Gaussian approximation (FGA) for modeling seismic waves. The method belongs to the category of ray-based beam methods. It decomposes seismic wavefield into a set of Gaussian functions and propagates these Gaussian functions along ...
Albertin U. +9 more
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GPS Seismology for a moderate magnitude earthquake: Lessons learned from the analysis of the 31 October 2013 ML6.4 Ruisui (Taiwan) earthquake [PDF]
, 2017 The 31 October 2013 ML 6.4 Ruisui earthquake was well recorded by twelve 50-Hz, four 20-Hz and thirteen 1-Hz GPS receivers, and twenty-five strong motion stations located within the epicentral distance of 90 km in eastern Taiwan.
Benedetti, Elisa +6 more
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Seismic Analysis Capability in NASTRAN [PDF]
, 1984 Seismic analysis is a technique which pertains to loading described in terms of boundary accelerations. Earthquake shocks to buildings is the type of excitation which usually comes to mind when one hears the word seismic, but this technique also applied ...
Butler, T. G., Strang, R. F.
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4D Seismic History Matching Incorporating Unsupervised Learning
, 2019 The work discussed and presented in this paper focuses on the history matching of reservoirs by integrating 4D seismic data into the inversion process using machine learning techniques.
Etienam, Clement
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Petrophysical property estimation from seismic data using recurrent neural networks [PDF]
SEG technical program expanded abstracts, 2018 Reservoir characterization involves the estimation petrophysical properties from well-log data and seismic data. Estimating such properties is a challenging task due to the non-linearity and heterogeneity of the subsurface.
M. Alfarraj, G. Al-Regib
semanticscholar +1 more source
AG-Net3D: Embedding Attention Gate Into U-Net for 3D Seismic Data Fault Detection
IEEE AccessAutomatic fault detection of seismic data plays a remarkable role in ensuring the efficiency even effectiveness of oil and gas field exploration. Deep learning methods such as U-Net are becoming competitive alternatives for traditional ones such as ...
Mingchun Chen, Hui Cao, Luofei Jia
doaj +1 more source
Sedimentary processes in Lake Van: first results from a joint interpretation of seismic and drilling data [PDF]
, 2011 EGU2011-1847-3 Lake Van is a lake by volume of 607 km3 and a maximum depth of 450 meters in a tectonically active zone in eastern Anatolia, Turkey.
Cukur, Deniz +4 more
core
A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal [PDF]
, 2014 Unveiling meaningful geophysical information from seismic data requires to deal with both random and structured "noises". As their amplitude may be greater than signals of interest (primaries), additional prior information is especially important in ...
Chaux, Caroline +3 more
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Long term study of the seismic environment at LIGO
, 2004 The LIGO experiment aims to detect and study gravitational waves using ground based laser interferometry. A critical factor to the performance of the interferometers, and a major consideration in the design of possible future upgrades, is isolation of ...
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