نتایج جستجو برای: نشانگرهای avo

تعداد نتایج: 3337  

Journal: :Earth Science Informatics 2021

Abstract The Prediction of the reservoir characteristics from seismic amplitude data is a main challenge. Especially in Nile Delta Basin, where subsurface geology complex and reservoirs are highly heterogeneous. Modern characterization methodologies spanning around attributes analysis, deterministic stochastic inversion methods, Amplitude Variation with Offset (AVO) interpretations, stack rotat...

Journal: :International Journal on Recent and Innovation Trends in Computing and Communication 2022

Cardiovascular diseases (CVDs) are the world's leading cause of death; therefore cardiac health human heart has been a fascinating topic for decades. The electrocardiogram (ECG) signal is comprehensive non-invasive method determining health. Various practitioners use ECG to ascertain critical information about heart. In this paper, noisy denoised based on Discrete Wavelet Transform (DWT) optimi...

Journal: :Revista brasileira de psiquiatria 2007
Felipe Filardi da Rocha Humberto Correa

Dear Editor, Post-traumatic stress disorder (PTSD) is an anxiety disorder that can arise after exposure to a terrifying event/ordeal in which severe physical harm occurred or was about to happen. PTSD symptoms include persistent re-experience of the trauma, avo idance o f t rauma-assoc ia ted s t imul i , and hyperarousal. In the present report, we describe a woman with PTSD whose symptoms were...

Journal: :Geophysical Journal International 2022

SUMMARY Seismic inversion of amplitude versus offset (AVO) data in viscoelastic media can potentially provide high-resolution subsurface models seismic velocities and attenuation from offset/angle gathers. P- S-wave quality factors (Q), whose inverse represent a measure attenuation, depend on reservoir rock pore fluid properties, particular, saturation, permeability, porosity, viscosity litholo...

2017
Xin-Peng Pan Guang-Zhi Zhang Jia-Jia Zhang Xing-Yao Yin

The conventional Markov chain Monte Carlo (MCMC) method is limited to the selected shape and size of proposal distribution and is not easy to start when the initial proposal distribution is far away from the target distribution. To overcome these drawbacks of the conventional MCMC method, two useful improvements in MCMC method, adaptive Metropolis (AM) algorithm and delayed rejection (DR) algor...

Journal: :Research Journal of Applied Sciences, Engineering and Technology 2013

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