Bernd Milkereit
University of Toronto
Seismic refractionGeomorphologyGeologyBoreholePaleontologySeismologyGeochemistryImpact craterMineralogyCrustImpact structurePetrophysicsPetrologyTectonicsSeismic waveGeophysical imagingGeophysicsReflection (physics)Vertical seismic profile
192Publications
33H-index
3,311Citations
Publications 184
Newest
#1William A. Morris (McMaster University)H-Index: 25
#2Sara-Lise UnderhayH-Index: 1
Last. Bernd Milkereit (U of T: University of Toronto)H-Index: 33
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Borehole navigation surveys performed using a triaxial fluxgate magnetometer record the change in orientation of the magnetic vector versus depth. Variations in the orientation of the magnetic vector arise from either on- or off-hole magnetic sources. On-hole magnetic sources associated with magnetic property fluctuations in the immediate wall of the borehole (i.e., susceptibility) and (or) remanence polarity changes produce sharp-edged anomalies. Off-hole magnetic sources, caused by a magnetic ...
Source
#1Hernan UgaldeH-Index: 2
#2William A. MorrisH-Index: 25
Last. Bernd MilkereitH-Index: 33
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Summary We present a case of FDEM and Magnetic data integration for kimberlite exploration in the Northwest Territories, Canada. Data comes from six high resolution helicopter-borne surveys commissioned by the Northwest Territories Geological Survey (NTGS). Analysis starts with the calculation of an apparent magnetic susceptibility distribution from the FDEM data. This is then compared to magnetic susceptibility derived from the total field magnetic data. The differences allow to recognize areas...
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#2Hernan UgaldeH-Index: 2
Last. William A. MorrisH-Index: 25
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This contribution presents an integrated interpretation of airborne geophysical and remote sensing data over the Central Cordillera in British Columbia, Canada. Data comes from the Search II survey, commissioned by the British Columbia Geological Survey in 2016. The study area is part of the Mesozoic volcanic arcs preserved as the Quesnel and Stikane terranes in Western Canada. Sedimentary and volcanic cover as well rugged terrain and difficult access make field mapping in this area quite challe...
Source
#2Ramin Saleh (U of T: University of Toronto)H-Index: 1
#3Bernd Milkereit (U of T: University of Toronto)H-Index: 33
Last. Qinya Liu (U of T: University of Toronto)H-Index: 23
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Sonic log records, including measurements of wave speeds in boreholes, provide critical input to the geological, geophysical, and petrophysical studies of a region under exploration. 1D background models are routinely built based on sonic log records for applications such as seismic imaging of hydrocarbon reservoirs and microseismic source inversions. Smoothing or ‘upscaling’ techniques are required to produce models in coarser scales than the very fine layers in the raw log data. In this paper,...
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#1Langqiu F. Sun (China University of Petroleum)H-Index: 2
#2Bernd Milkereit (U of T: University of Toronto)H-Index: 33
Last. Nicola Tisato (University of Texas at Austin)H-Index: 17
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Seismic attenuation and velocity dispersion are potentially able to reveal the rock physical properties of the subsurface. Conventionally, a frequency-independent quality factor (Q) is measured. This Q is equivalent to the total velocity dispersion in a seismic record and is inadequate for analysing the attenuation mechanism or rock physical properties. Here a new method is proposed to extract the velocity dispersion curves so that more attributes can be obtained from full-waveform multichannel ...
Source
#1Maria TibboH-Index: 2
#2Bernd MilkereitH-Index: 33
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#1Dong ShiH-Index: 1
#2Langqiu F. SunH-Index: 2
Last. Bernd MilkereitH-Index: 33
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Summary Seismic data quality can be reduced significantly in a strong attenuation environment with low Q values. The very strong attenuation of seismic waves in the Athabasca Basin, Saskatchewan, was previously assumed to occur because of the presence of unconsolidated near surface materials (i.e. the overburden). However, we observe an extremely low Q over the entire extent (i.e. from 50 to 450m) of the vertical seismic profiling (VSP) data acquired in 2007. Various measuring techniques perform...
#1Dong Shi (U of T: University of Toronto)H-Index: 1
#2Bernd Milkereit (U of T: University of Toronto)H-Index: 33
Seismic data are unavoidably contaminated with noise. The issue becomes worse for applications in mineral explorations in hardrock environments where the complex nearand sub-surface conditions result in variable signal amplitudes and attenuations (Eaton et al., 2003). Meanwhile, the quality of processing is usually uncontrollable, consequently, yielding remnant local noisy events as singularities on stacked seismic images. These singularities perform as backscattering sources during the migratio...
Source
#1Bernd Milkereit (U of T: University of Toronto)H-Index: 33
#2Maria Tibbo (U of T: University of Toronto)H-Index: 2
Last. K. Guo
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#1Maria TibboH-Index: 2
#3Douglas R. SchmittH-Index: 33
Last. Bernd MilkereitH-Index: 33
view all 4 authors...
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