Featured publications
Stimulated reservoir volume (SRV) is a critical factor in resource plays and is used by engineers to assess the effectiveness of a fracture treatment, establish parameters for future frac stages, and compute decline curves for quantifying bookable reserves. However, estimates derived from widely used imaging approaches come with significant limitations and uncertainties and often result in SRV being overestimated. Another issue is that the same data analyzed by different processors can generate widely differing results, which leads some engineers to question the value and integrity of the information microseismic analysis is delivering.
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10 November 2011
Synthetic study showing the feasibility of detecting a viscoelastic inclusion in the subsurface by analyzing the seismic wavefield at the medium's surface.
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18 September 2011
A low frequency (LF) passive seismic survey was acquired in Egypt over a discovered but unproduced oil reservoir. Sixty hours of synchronous data were recorded on an array of stations in several lines over the oil discovery and adjacent prospects. 3D TRI of the ambient wave field data refocused in the subsurface at the discovery well and several of the prospective surrounding fault blocks.
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18 September 2011
Attributes from surface-based spectroscopic studies of the ambient wave field can be a useful de- risking tool for exploration and field development. This work introduces a statistical strategy to correlate the ambient wave field attributes as a function of frequency to both subsurface targets and potential surface confounders. The strategy is illustrated on a passive seismic data set acquired over the Jonah field in Wyoming, USA. The ambient wave field power correlates best to hydrocarbon pore thickness from 1.0-3.5 Hz.
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23 May 2011
The chain of time-reverse modeling, image-space wave-field decomposition and imaging conditions is a migration-like algorithm called time-reverse imaging (TRI). The algorithm locates subsurface sources or diffractors. We use elastic propagators to capitalize on the full waveforms available in multicomponent data, although an acoustic example is presented. For the elastic case, we perform wave-field decomposition in the image domain to calculate P and S potentials. To locate sources, the time axis is collapsed by extracting the zero-lag of auto and cross-correlations to return images in physical space.
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15 June 2010
Passive seismic low-frequency (from approximately 1–6 Hz) data have been acquired at several locations around the world. Spectra calculated from these data, acquired over fields with known hydrocarbon accumulations, show common spectral anomalies.
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03 March 2009
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