Seismic Imaging of an Over-Deepened Alpine Valley: Implications for Late Paleozoic Glaciation of The uncompahgre uplift (western Colorado)

Patterson, Anna; Chwatal, Werner; Behm, Michael; Cheng, Feng; Soreghan, Gerilyn S.

doi:10.1130/abs/2018am-319703

Cited by 2 publications

(9 citation statements)

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“…extend the tomographic velocity model with interval velocities obtained from reflection processing (Patterson et. al., 2018b).…”

Section: Interpretation and Discussionmentioning

confidence: 99%

“…Reflection processing and interpretation is currently ongoing and initial results are presented by Patterson et al (2018a) and Patterson et al (2018b). Here we focus on first arrival travel time tomography.…”

Section: Active Source Data and Processingmentioning

confidence: 99%

“…Previous geophysical and drilling surveys (Davogustto, 2006;Haffener, 2015) suggested that the valley might be over-deepened but were inconclusive regarding the exact depths and the valley geometry. A recent approach focused on acquisition of high-resolution reflection seismic data in 25 fall 2017 (Patterson et al, 2018a(Patterson et al, , 2018b, and these data are also the basis for the present study.…”

Section: Area and Geologymentioning

confidence: 99%

“…This source provided ample energy to record strong basement reflections from 400 -600 m depth (Patterson et al 2018a(Patterson et al , 2018b; Fig. 3).…”

Section: Acquisitionmentioning

confidence: 99%

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Passive processing of active nodal seismic data: Estimation of VP / VS-ratios to characterize structure and hydrology of an alpine valley infill

Behm¹,

Cheng²,

Patterson³

et al. 2019

Preprint

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The advent of cable-free nodal arrays for conventional seismic reflection and refraction experiments is changing the acquisition style for active source surveys. Instead of triggering short recording windows for each shot, the nodes are continuously recording over the entire acquisition period from the first to the last shot. The main benefit is a significant increase in geometrical and logistical flexibility. As a by-product, a significant amount of continuous data might also be collected. 10These data can be analysed with passive seismic methods and therefore offer the possibility to complement subsurface characterization at marginal additional cost. We present data and results from a 2.4 km long active source profile which has been recently acquired in Western Colorado (US) to characterize the structure and sedimentary infill of an over-deepened alpine valley. We show how the 'leftover' passive data from the active source acquisition can be processed towards a shear wave velocity model with seismic interferometry. The shear wave velocity model supports the structural interpretation of the 15 active P-wave data, and the P-to-S-wave velocity ratio provides new insights into the nature and hydrological properties of the sedimentary infill. We discuss the benefits and limitations of our workflow and conclude with recommendations for acquisition and processing of similar data sets.

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“…extend the tomographic velocity model with interval velocities obtained from reflection processing (Patterson et. al., 2018b).…”

Section: Interpretation and Discussionmentioning

confidence: 99%

Section: Active Source Data and Processingmentioning

confidence: 99%

Section: Area and Geologymentioning

confidence: 99%

“…This source provided ample energy to record strong basement reflections from 400 -600 m depth (Patterson et al 2018a(Patterson et al , 2018b; Fig. 3).…”

Section: Acquisitionmentioning

confidence: 99%

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Passive processing of active nodal seismic data: Estimation of VP / VS-ratios to characterize structure and hydrology of an alpine valley infill

Behm¹,

Cheng²,

Patterson³

et al. 2019

Preprint

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“…In particular, the extraction of surface waves traveling between receivers in locally deployed arrays can be feasible for even relatively short time spans of ambient noise (e.g., Nakata et al, 2011;Cheng et al, 2016). The reconstructed surface waves are mostly used to image the local shear wave velocity structure (e.g., Picozzi et al, 2009;Hannemann et al, 2014) or for the interpretation of temporal changes in the subsurface (e.g., Planes et al, 2015;Riahi et al, 2013). Applied to active data, interferometric surface wave removal (Halliday et al, 2007(Halliday et al, , 2010 can successfully model and mitigate unwanted Rayleigh wave energy in shot gathers.…”

Section: Introductionmentioning

confidence: 99%

Passive processing of active nodal seismic data: estimation of VP∕VS ratios to characterize structure and hydrology of an alpine valley infill

et al. 2019

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Abstract. The advent of cable-free nodal arrays for conventional seismic reflection and refraction experiments is changing the acquisition style for active-source surveys. Instead of triggering short recording windows for each shot, the nodes are continuously recording over the entire acquisition period from the first to the last shot. The main benefit is a significant increase in geometrical and logistical flexibility. As a by-product, a significant amount of continuous data might also be collected. These data can be analyzed with passive seismic methods and therefore offer the possibility to complement subsurface characterization at marginal additional cost. We present data and results from a 2.4 km long active-source profile, which have recently been acquired in western Colorado (US) to characterize the structure and sedimentary infill of an over-deepened alpine valley. We show how the “leftover” passive data from the active-source acquisition can be processed towards a shear wave velocity model with seismic interferometry. The shear wave velocity model supports the structural interpretation of the active P-wave data, and the P-to-S-wave velocity ratio provides new insights into the nature and hydrological properties of the sedimentary infill. We discuss the benefits and limitations of our workflow and conclude with recommendations for the acquisition and processing of similar datasets.

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Seismic Imaging of an Over-Deepened Alpine Valley: Implications for Late Paleozoic Glaciation of The uncompahgre uplift (western Colorado)

Cited by 2 publications

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Passive processing of active nodal seismic data: Estimation of V<sub>P</sub> / V<sub>S</sub>-ratios to characterize structure and hydrology of an alpine valley infill

Passive processing of active nodal seismic data: Estimation of V<sub>P</sub> / V<sub>S</sub>-ratios to characterize structure and hydrology of an alpine valley infill

Passive processing of active nodal seismic data: estimation of <i>V</i><sub>P</sub>∕<i>V</i><sub>S</sub> ratios to characterize structure and hydrology of an alpine valley infill

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Seismic Imaging of an Over-Deepened Alpine Valley: Implications for Late Paleozoic Glaciation of The uncompahgre uplift (western Colorado)

Cited by 2 publications

References 0 publications

Passive processing of active nodal seismic data: Estimation of V&lt;sub&gt;P&lt;/sub&gt; / V&lt;sub&gt;S&lt;/sub&gt;-ratios to characterize structure and hydrology of an alpine valley infill

Passive processing of active nodal seismic data: Estimation of V&lt;sub&gt;P&lt;/sub&gt; / V&lt;sub&gt;S&lt;/sub&gt;-ratios to characterize structure and hydrology of an alpine valley infill

Passive processing of active nodal seismic data: estimation of &lt;i&gt;V&lt;/i&gt;&lt;sub&gt;P&lt;/sub&gt;∕&lt;i&gt;V&lt;/i&gt;&lt;sub&gt;S&lt;/sub&gt; ratios to characterize structure and hydrology of an alpine valley infill

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Passive processing of active nodal seismic data: Estimation of V<sub>P</sub> / V<sub>S</sub>-ratios to characterize structure and hydrology of an alpine valley infill

Passive processing of active nodal seismic data: Estimation of V<sub>P</sub> / V<sub>S</sub>-ratios to characterize structure and hydrology of an alpine valley infill

Passive processing of active nodal seismic data: estimation of <i>V</i><sub>P</sub>∕<i>V</i><sub>S</sub> ratios to characterize structure and hydrology of an alpine valley infill