Hollis D., McBride J., Good D., Arndt N., Brenguier F., and Olivier G., 2018. Use of Ambient Noise Surface Wave Tomography in Mineral Resource Exploration and Evaluation, SEG Annual Meeting 2018, Anaheim, California.
Abstract: Passive seismic imaging is a low-impact, low-cost technique that can be used to explore for and evaluate mineral deposits. […]
The technique uses ambient seismic noise from natural and anthropogenic sources for subsurface imagining and monitoring. Cross-correlation between receiver pairs is used to extract the Green function and analysis of dispersion of surface wave from the cross-correlated data generates a near-surface velocity model. This model is then used to establish the structure, lithology, and physical characteristics of materials in the subsurface. The results can be used alone or jointly with other geophysical or geological data or employed to improve imagining of active source data.
The scales of passive seismic imaging range from the entire crust and upper mantle to near-surface geotechnical or civil engineering surveys, spanning depths from 100s of kilometers to few meters. Most current applications are in the petroleum, geothermal, groundwater and geo-engineering sectors but the technique is finding increasing employment in mine security and mineral exploration.
SISPROBE, 2018. Marathon Passive Seismic Project, Meylan, France, 18p. [online] Available at: http://www.sisprobe.com/wp-content/uploads/2018/09/2018-Final-Report-Results-of-Ambient-Noise-Surface-Wave-Tomography-Marathon-ON-Canada.pdf [Accessed 28 Nov. 2018].
Executive summary: The records for the Marathon passive seismic project are of good quality and show usable ambient seismic noise especially in the period band [0.15 1.5]s (∼ 0.7-7 Hz) used for the tomography. The microseismic noise at high frequency is mostly coming the Great Lakes. At lower frequency, the noise comes from East-North-East direction (North Atlantic Ocean). The noise cross-correlations show essentially the fundamental mode of the Rayleigh waves travelling at an average velocity of ∼3 km/s. Due to the high velocity and the long wavelengths, we only used data from station pairs more than 900 m apart. It resulted in ∼1300 dispersion curves used for the inversion. The 3D S-wave velocity model is presented together with its uncertainties. The top of the gabbro intrusive slab is clearly imaged.
SISPROBE, 2017. Detection of old mine working for future infrastructure plan and development, 79th EAGE Conference & Exhibition 2017, Paris, France.
As the demand for minerals are increasing, old mining areas are being revisited with the hope of further extracting resources. Some of these areas have been abandoned more than a century ago and as a result the exact location and the extent of the old mined out regions are unknown. Accurate knowledge of the mined out areas are important in order to plan infrastructure and future development. In other circumstances, mine operators are interested to detect remnant areas amongst older workings that have been hydrofilled so that these remnant areas can be mined. Seismic imaging methods have the potential to delineate these mined out areas from intact rock but have traditionally been too expensive to be used routinely. In this paper, we attempt to use a new passive method (called ambient noise surface wave tomography) to image old workings of an old Australian gold mine. Since the method does not require the use of a costly active source, it can be implemented at a fraction of the cost of a conventional active survey. The goal of the project was to see if the ambient seismic noise method could be used to identify old mine workings, mineral deposits, faults or shears and determine the thickness of the slag-heap.