Three-component ambient noise beamforming in the Parkfield area

ACKNOWLEDGEMENTS Many thanks to Andrew Curtis and Ian Main for their critical and perceptive comments and to Sjoerd de Ridder for fruitful discussions. We are particularly grateful to Elmer Ruigrok for his detailed and constructive review, which has substantially improved our manuscript. We acknowledge the facilities of the IRIS Data Management System for providing access to the seismic data. This work is funded within the DFG project ‘SynPaTh’ and the EU project ‘GEMex’.Peer reviewedPublisher PD

Digital rock physics: numerical prediction of pressure-dependent ultrasonic velocities using micro-CT imaging

Digital rock physics combines modern microscopic imaging with advanced numerical simulations to analyse the physical properties of rocks. Elastic-wave propagation modelling based on the microstructure images is used to estimate the effective elastic properties of the rock. The goal of this paper is to describe and understand how laboratory experiments compare with digital rock physics results using Berea sandstone. We experimentally measure pressure-dependent ultrasonic velocities and the pore size distribution. The effective elastic properties resulting from numerical simulations are based on microcomputed tomography (micro-CT) images, which are systematically stiffer than the laboratory measures. Because the tomographic images do not resolve the small-scale pore and crack network of the sample, we hypothesize that the numerical overprediction is attributable to the smallest pores and grain-to-grain contacts that are missing in the images. To reconcile the difference between numerical and experimental data, we suggest to use a grain boundary reconstruction algorithm. This allows to implement and approximate so far unresolved features in the virtual rock model. As a result, we can predict pressure-dependent effective velocity using micro-CT image

A statistical strategy for ambient seismic wavefield analysis: investigating correlations to a hydrocarbon reservoir

Theoretical work and modelling studies have led to the hypothesis that the ambient seismic wave field on the surface can be affected by hydrocarbon reservoirs (>800 m depth). Several field studies have linked spectral features on the vertical component between 1 and 10Hz to reservoir locations. However, such evidence has been criticized due to concerns that surface recordings typically contain a large amount of surface wave noise and correlations to hydrocarbon targets could be caused by non-hydrocarbon variables such as topography or weathering layer thickness. In this paper, we suggest a two-step analysis strategy to address such issues. First, spectral power is only averaged over time periods and frequencies where the distribution of polarization attributes show no obvious dominance of a few surface wave sources. An interferometric test reveals differences in the wave field composition between the filtered and unfiltered data. Second, the residual seismic power is correlated to hydrocarbon as well as non-hydrocarbon targets. The correlations are quantitatively compared using rank correlation and bootstrap confidence intervals. The method is illustrated on a passive seismic data set acquired with three-component, broad-band seismometers at the tight-gas Jonah field in Wyoming, USA. We find evidence that the wave field was dominated by a small number of surface sources in all of the data except for the quietest time periods in the low-frequency range 1.5-3.0Hz. Seismic power within this subset significantly correlates to a published reservoir map but not with a digital elevation model and less so with an infrastructure density map. The investigated hypothesis can thus not be rejected with this dat

Obtaining reliable source locations with time reverse imaging: limits to array design, velocity models and signal-to-noise ratios

Time reverse imaging (TRI) is evolving into a standard technique for locating and characterising seismic events. In recent years, TRI has been employed for a wide range of applications from the lab scale, to the field scale and up to the global scale. No identification of events or their onset times is necessary when locating events with TRI; therefore, it is especially suited for locating quasi-simultaneous events and events with a low signal-to-noise ratio. However, in contrast to more regularly applied localisation methods, the prerequisites for applying TRI are not sufficiently known.To investigate the significance of station distributions, complex velocity models and signal-to-noise ratios with respect to location accuracy, numerous simulations were performed using a finite difference code to propagate elastic waves through three-dimensional models. Synthetic seismograms were reversed in time and reinserted into the model. The time-reversed wave field back propagates through the model and, in theory, focuses at the source location. This focusing was visualised using imaging conditions. Additionally, artificial focusing spots were removed using an illumination map specific to the set-up. Successful locations were sorted into four categories depending on their reliability. Consequently, individual simulation set-ups could be evaluated by their ability to produce reliable source locations.Optimal inter-station distances, minimum apertures, relations between the array and source locations, heterogeneities of inter-station distances and the total number of stations were investigated for different source depths and source types. Additionally, the accuracy of the locations was analysed when using a complex velocity model or a low signal-to-noise ratio.Finally, an array in southern California was investigated regarding its ability to locate seismic events at specific target depths while using the actual velocity model for that region. In addition, the success rate with recorded data was estimated.Knowledge about the prerequisites for using TRI enables the estimation of success rates for a given problem. Furthermore, it reduces the time needed to adjust stations to achieve more reliable locations and provides a foundation for designing arrays for applying TRI.</p

Temperature-dependent poroelastic and viscoelastic effects on microscale—modelling of seismic reflections in heavy oil reservoirs

We develop a new model for elastic properties of rocks saturated with heavy oil. The heavy oil is represented by a viscoelastic material, which at low frequencies and/or high temperatures behaves as a Newtonian fluid, and at high frequencies and/or low temperatures as a nearly elastic solid. The bulk and shear moduli of a porous rock saturated with such viscoelastic material are then computed using approximate extended Gassmann equations of Ciz and Shapiro by replacing the elastic moduli of the pore filling material with complex and frequency-dependent moduli of the viscoelastic pore fill. We test the proposed model by comparing its predictions with numerical simulations based on a direct finite-difference solution of equations of dynamic viscoelasticity. The simulations are performed for the reflection coefficient from an interface between a homogeneous fluid and a porous medium. The numerical tests are performed both for an idealized porous medium consisting of alternating solid and viscoelastic layers, and for a more realistic 3-D geometry of the pore space. Both sets of numerical tests show a good agreement between the predictions of the proposed viscoelastic workflow and numerical simulations for relatively high viscosities where viscoelastic effects are important. The results confirm that application of extended Gassmann equations in conjunction with the complex and frequency-dependent moduli of viscoelastic pore filling material, such as heavy oil, provides a good approximation for the elastic moduli of rocks saturated with such material. By construction, this approximation is exactly consistent with the classical Gassmann's equation for sufficiently low frequencies or high temperature when heavy oil behaves like a fluid. For higher frequencies and/or lower temperatures, the predictions are in good agreement with the direct numerical solution of equations of dynamic viscoelasticity on the microscale. This demonstrates that the proposed methodology provides realistic estimates of elastic properties of heavy oil rock

Interaction of Tet Repressor with Operator DNA and with Tetracycline Studied by Infrared and Raman Spectroscopy

AbstractTet repressor (TetR) is involved in the most abundant mechanism of tetracycline (Tc) resistance of Gram-negative bacteria. Raman spectra were measured for the class D TetR protein, for an oligodeoxyribonucleotide with sequence corresponding to operator site O1, and for the TetR:oligonucleotide complex. TetR forms a complex with [Ni-Tc]+, which does not bind to operator DNA. Raman and infrared measurements indicate nearly identical conformations of TetR with and without [Ni-Tc]+. Differences between the experimental spectrum of the TetR:operator DNA complex and the computed sum of the component spectra provide direct spectroscopic evidence for changes in DNA backbone torsions and base stacking, rearrangement of protein backbone, and specific contacts between TetR residues and DNA bases. Complex formation is connected with intensity decrease at 1376cm−1 (participation of thymine methyl groups), intensity increase at 1467cm−1 (hydrogen bond formation at guanine N7), decreased intensity ratio I854/I823 (increased hydrophobicity of tyrosine environment), increased intensity at 1363cm−1 (increased hydrophobicity of tryptophan ring environment), differences in the range 670–833cm−1 (changes in B-DNA backbone torsions and base stacking), and decreased intensity of the amide I band (structural rearrangement of TetR backbone consistent with a reduction of the distance between the two binding helices)

A physico-chemical survey of inland lakes and saline ponds: Christmas Island (Kiritimati) and Washington (Teraina) Islands, Republic of Kiribati

The equatorial Pacific Ocean atoll islands of Kiritimati and Teraina encompass great physical, chemical and biological variability within extreme lacustrine environments. Surveys of lake chemistry and sediments revealed both intra- and inter-island variability. A survey of more than 100 lakes on Kiritimati found salinities from nearly fresh to 150 ppt with the highest values occurring within the isolated, inland portions of the island away from the influence of groundwater or extreme tides. Dissolved oxygen (DO) and pH values also showed considerable variability with a less regular spatial pattern, but were both generally inversely related to salinity. Series of lakes, progressively more isolated from marine communication, present a modern analog to the chemical and morphologic evolution of presently isolated basins. Sediments on both islands consist of interbedded red and green silt, possibly degraded bacterial mat, overlying white, mineralogenic silt precipitate. Variability may be indicative of shifts in climatological parameters such as the El Niño Southern Oscillation (ENSO) or the Pacific Intertropical Convergence Zone (ITCZ)