نتایج جستجو برای: seismic controlled source method
تعداد نتایج: 2340333 فیلتر نتایج به سال:
in exploration seismology quality factor is widely used as a seismic attribute to identify anomalies related to attenuation, especially those caused by hydrocarbon. previous studies have indicated that seismic energy loss known as attenuation is greater for high frequency components of seismic data compared to the low frequency components. here the continuous wavelet transform is used to study ...
Abstract Powerline interference in the controlled source electromagnetic method has traditionally been one of biggest conundrums plaguing geophysicists, and its conventional denoising methods primarily include filtering noise estimation. The filter leaches at specific frequency points, which might also useful signals; estimation significantly eliminates interference, whereas premise is that sta...
An experimental program was run by the Centre for Marine Science and Technology of Curtin University between March 1996 and October 1999 to study the environmental implications of offshore seismic survey noise. This work was initiated and sponsored by the Australian Petroleum Production and Exploration Association. The program: • characterised air gun signal measurements; modelled air gun array...
Lifelines are essential to urban life as they include all kinds of facilities and systems as water, gas, fuel, power, communication and transportation. The scope of this paper is to evaluate the influence of the uncertainties of seismic load and damage state definition in system’s reliability. At first, a rapid pre-estimation of the reliability of the system just after the earthquake is conduct...
Bridge structure performance estimation under a seismic hazard can be significantly influenced by the level of modelling detail within the simulation of the soil structure interaction phenomenon. As the computational demands of such estimation greatly restricts the implementation of a detailed truncated FEM simulation of the semiinfinite soil domain, the Kelvin – Voigt Model within the framewor...
Bridge structure performance estimation under a seismic hazard can be significantly influenced by the level of modelling detail within the simulation of the soil structure interaction phenomenon. As the computational demands of such estimation greatly restricts the implementation of a detailed truncated FEM simulation of the semiinfinite soil domain, the Kelvin – Voigt Model within the framewor...
Efficient numerical seismic wavefield modelling is a key component of modern seismic imaging techniques, such as reverse-time migration and full-waveform inversion. Finite difference methods are perhaps the most widely used numerical approach for forward modelling, and here we introduce a novel scheme for implementing finite difference by introducing a time-to-space wavelet mapping. Finite diff...
In this paper, we study the relationship between the acquisition of time-harmonic seismic data and the Dirichlet-to-Neumann map for the Helmholtz equation in dimension n ≥ 3. This relationship is established through the introduction of a single-layer potential operator. We analyze its properties with a view to so-called iterative full waveform inversion based on the Hilbert-Schmidt norm, that i...
The selection of seismic attributes is a key process in reservoir prediction because the prediction accuracy relies on the reliability and credibility of the seismic attributes. However, effective selection method for useful seismic attributes is still a challenge. This paper presents a novel selection method of seismic attributes for reservoir prediction based on the gray relational degree (GR...
This srudy has demonstrated how artificial neural networks (ANNs) can be used to characterize seismic sources using high-frequency regional seismic data. We have taken the novel approach of using ANNs as a research tool for obtaining seismic source information, specifically depth of focus for earthquakes and ripple-fire characteristics for economic blasts, rather than as just a feature classifi...
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