The benefits of passive low-frequency seismic technology are compelling, with an increased probability of successfully defining hydrocarbon zones prior to embarking on a drilling program and supporting the economic development of reserves that were previously considered uneconomic because of a lack of good seismic data.
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One of the most exciting developments in recent times for hydrocarbon exploration is the advances in Low Frequency Seismic as a tool for hydrocarbon detection. Spectraseis, in collaboration with the Swiss Federal Institute of Technology (ETH Zurich), is leading the industry’s biggest research program focused on the theory, methods and applications of low frequency spectral analysis.
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We present results from a passive seismic survey carried out with broadband seismometers over an oil field in southern Germany. The aim was to analyze the ambient seismic noise spectrum in order to test for spectral signatures that may be indicative of variations in the subsurface.
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This paper is concerned with numerical considerations of effective transport and effective mechanical properties of rocks. We derive these properties directly from rock microstructure using 3D tomographic images.
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A method is presented to detect subsurface seismic tremor sources by analyzing surface data. Spectral attributes of the recorded seismic wave-field at low frequencies are used to map the surface projection of the sources.
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