Abstract Although naturally occurring vibrations have proven useful to probe the subsurface, caused by traffic not been explored much. Such data, however, are less sensitive weather and low visibility compared some common out‐of‐road sensing systems. We study traffic‐generated seismic noise measured an array of 5200 geophones that covered a 7 × 10 km area in Long Beach (California, USA) with receiver spacing 100 m. This allows us look into urban below resolution typical city block. The...

We apply a three-component beamforming algorithm to an ambient noise data set recorded at seismic array extract information about both isotropic and anisotropic surface wave velocities. In particular, we test the sensitivity of method with respect geometry as well seasonal variations in distribution sources. earth's crust, anisotropy is typically caused by oriented faults or fractures can be altered when earthquakes human activities cause these structures change. Monitoring changes thus...

We perform a time‐lapse analysis of Rayleigh and Love wave anisotropy above an underground gas storage facility in the Paris Basin. The data were acquired with three‐component seismic array deployed during several days April November 2010. Phase velocity back azimuth waves are measured frequency range 0.2–1.1 Hz using beamforming algorithm. In both snapshots, higher‐surface modes start dominating signal 0.4 concurrent increase ranges. fit parameters to detections bootstrap approach which...

Theoretical work and modelling studies have led to the hypothesis that ambient seismic wave field on surface can be affected by hydrocarbon reservoirs (>800 m depth). Several linked spectral features vertical component between 1 10 Hz reservoir locations. However, such evidence has been criticized due concerns recordings typically contain a large amount of noise correlations targets could caused non-hydrocarbon variables as topography or weathering layer thickness. In this paper, we suggest...

We study surface wave anisotropy using three‐component frequency‐wave number analysis of 1 year (2012) ambient seismic noise measured by the Southern California Seismic Network. Significant 2 θ and 4 Rayleigh is observed over most frequency range 15 to 100 mHz (Millihertz). The wide illumination large data volume allow for relatively high precision sensitivity: estimation variability above 35 as well magnitude weakest significant detections about 0.1%. estimates are consistent with previous...

Identifying and understanding the physical processes taking place in a reservoir rock is an important step towards more detailed accurate characterization of subsurface hydrocarbon from seismic data set, subject our article. We show that integration laboratory studies with numerical modeling powerful tool to achieve unbiased comprehension at different scales. Such demonstrated this article using examples two current challenges physics: (1) influence microstructure on effective elastic...

We present a method to estimate the detection threshold of seismic monitoring arrays, based on estimated spectral amplitude microseismic events, and expected noise level at recording station. The aim is develop objective criteria for network optimization, such as best combination surface downhole networks, or optimal depth shallow borehole arrays. some simplified generic examples illustration general principles, discuss most critical parameters that should be known beforehand an informed...

We present a procedure for producing Bayesian DHI low frequency passive seismic (LFPS) data. The approach utilizes two LFPS attributes to classify and determine the likelihood of hydrocarbon existence in subsurface. are based on strength variability empirically observed tremor. An improved, more robust tremor energy measure temporal characteristics signal is presented used. classification employed both accommodate uncertainties data provide risk estimate. process was tested over four fields...

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 a useful de-risking tool for exploration and development, but they generally also sensitive anthropogenic activity other physical near-surface variables. This work introduces statistical strategy correlate as function frequency both targets well potential surface confounders reduce misinterpretations. A...

Abstract We present a procedure for producing Bayesian DHI low frequency passive seismic (LFPS) data. The approach utilizes two LFPS attributes to classify and determine the likelihood of hydrocarbon presence in subsurface. are based on strength variability empirically observed tremor. An improved, more robust tremor energy measure temporal characteristics signal is presented used. interpreter-driven classification employed both accommodate uncertainties data provide risk estimate. Prior...

A non-parametric technique to identify weak sources within dense sensor arrays is developed using a network approach. No knowledge about the propagation medium needed except that signal strengths decay insignificant levels scale shorter than aperture. We then reinterpret spatial coherence matrix of wave field as whose support connectivity vertices (sensors) connected into communities. In asymptotic case these communities correspond clusters associated with individual sources. The estimated...

We use data from a large 5200 element geophone array that blanketed 70 km2 of the city Long Beach (CA) to characterize very localized urban seismic and acoustic phenomena. Such small events are hard detect localize with conventional processing techniques because they only sensed by tiny fraction sensors. To circumvent this issue, we first identify significant entries in coherence matrix (5200 × entries) then graph analysis reveal spatially contiguous clusters receivers correlated signals....

Attributes from surface‐based spectral analysis of the ambient wave field are hypothesized to be at least partly affected by subsurface hydrocarbon accumulations. Such attributes can a useful de‐risking tool for exploration and development, but they also sensitive anthropogenic activity laterally varying near‐surface parameters. This work introduces statistical strategy correlate as function frequency relative amplitude targets well surface confounders. allows search bands ranges where...

Traffic in urban areas generates not only acoustic noise but also much seismic noise. The latter is typically perceptible by humans could, fact, offer an interesting data source for traffic information systems. To explore the potential this, we study a 5300 geophone network, which covered area of over 70 km2 Long Beach, CA, and was deployed as part hydrocarbon industry survey. sensors have typical spacing about 100 m, presents two-sided processing challenge here: signals beyond few receiver...

A non-parametric technique to identify weak sources within dense sensor arrays is developed using a network approach. No knowledge about the propagation medium needed except that signal strengths decay insignificant levels scale shorter than aperture. We then reinterpret spatial covariance matrix of wave field as whose support connectivity vertices (sensors) connected into communities. These communities correspond clusters associated with individual sources. estimate from limited-time data...