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- W2321796798 abstract "Attributes from surface-based spectroscopic studies of the ambient wave field are hypothesized to be at least partly controlled by subsurface hydrocarbon accumulations. Such attributes can be a useful de-risking tool for exploration and field development, but they are generally also sensitive to anthropogenic activity and other physical near-surface variables. This work introduces a statistical strategy to correlate the ambient wave field attributes as a function of frequency to both subsurface targets as well as potential surface confounders to reduce misinterpretations. A resulting unconfounded correlation and its uncertainty can then be used for quantitative risk assessments. 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. Anthropogenic activity, inferred from high frequency energy, and elevation are both found to be uncorrelated and do not require compensation. More confounders such as near-surface geology or trap structure can and should be tested using this methodology." @default.
- W2321796798 created "2016-06-24" @default.
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- W2321796798 date "2011-05-23" @default.
- W2321796798 modified "2023-09-23" @default.
- W2321796798 title "A Statistical Strategy to Analyzing Passive Seismic Attributes" @default.
- W2321796798 doi "https://doi.org/10.3997/2214-4609.20149514" @default.
- W2321796798 hasPublicationYear "2011" @default.
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