Ore-body imaging by crosswell seismic waveform inversion: A case study from Kambalda, Western Australia

Xu, Kun; Greenhalgh, Stewart

doi:10.1016/j.jappgeo.2009.11.001

Cited by 13 publications

(9 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Downhole seismic surveys such as side scan, VSP and mine seismic profiling (MSP), and in-mine seismic surveys are best suited for imaging steeply dipping to subvertical structures (e.g., Price, 1974;Cosma, 1983;Wong et al, 1983Wong et al, , 1984Gustavsson et al, 1984;Galperin, 1985;Peterson et al, 1985;Spathis et al, 1985;Harman et al, 1987;Mutyorata et al, 1987;Duncan et al, 1989;Juhlin et al, 1991;Sinadinovski et al, 1995;Frappa and Moinier, 1993;Cao and Greenhalgh, 1997;Greenhalgh and Bierbaum, 1998;Urosevic and Evans, 2000;Greenhalgh et al, 2000Greenhalgh et al, , 2003Wong, 2000;Adam et al, 2003;Cosma et al, , 2007Perron et al, 2003;Bellefleur et al, 2004aBellefleur et al, , 2004bXu and Greenhalgh, 2010). They have typically higher resolution than surface seismic data, which make them attractive for delineating fracture and fault zones for mine planning or as a complement to surface seismic surveys.…”

Section: Seismic Methods For Mineral Exploration Wc175mentioning

confidence: 99%

Seismic methods in mineral exploration and mine planning: A general overview of past and present case histories and a look into the future

et al. 2012

View full text Add to dashboard Cite

Due to high metal prices and increased difficulties in finding shallower deposits, the exploration for and exploitation of mineral resources is expected to move to greater depths. Consequently, seismic methods will become a more important tool to help unravel structures hosting mineral deposits at great depth for mine planning and exploration. These methods also can be used with varying degrees of success to directly target mineral deposits at depth. We review important contributions that have been made in developing these techniques for the mining industry with focus on four main regions: Australia, Europe, Canada, and South Africa. A wide range of case studies are covered, including some that are published in the special issue accompanying this article, from surface to borehole seismic methods, as well as petrophysical data and seismic modeling of mineral deposits. At present, high-resolution 2D surveys mostly are performed in mining areas, but there is a general increasing trend in the use of 3D seismic methods, especially in mature mining camps.

show abstract

Section: Seismic Methods For Mineral Exploration Wc175mentioning

confidence: 99%

Seismic methods in mineral exploration and mine planning: A general overview of past and present case histories and a look into the future

et al. 2012

View full text Add to dashboard Cite

show abstract

“…However, most of the new discoveries are located at depths between 500 m and 2000 m. At these depths, the costs of drilling increase dramatically and the ability of the drill-holes to accurately sample the mineralization decreases, such that increased depth of drilling limits the quality of the information. High resolution geophysical methods such radio-frequency (0.1 − 5 MHz) electromagnetic methods (Fullagar et al, 2000), borehole radar tomography (Bellefleur and Chouteau, 2001;Zhou and Fullagar, 2001) or seismic tomography (Enescu et al, 2002;Wong, 2000;Xu and Greenhalgh, 2010) provide the geologist with new information that can be incorporated into the process of orebody modeling. In addition, it has been shown that sonic logs can be used to constrain seismic tomography between drill-holes, resulting in a significant increase in the accuracy of the tomographic images Perozzi et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Using stochastic crosshole seismic velocity tomography and Bayesian simulation to estimate Ni grades: Case study from Voisey's Bay, Canada

Perozzi

Gloaguen

Rondenay

et al. 2012

Journal of Applied Geophysics

View full text Add to dashboard Cite

“…Mora (1989) reveals the insight that inversion can be interpreted as a composite of a tomography and a migration to recover the low-and high-wavenumber parts of the model, respectively. Here, we distinguish between full-waveform inversion (FWI) and full-waveform tomography (FWT), which are often confused as being the same (Xu and Greenhalgh, 2010;Köhn et al, 2012). FWI tries to recover the complete wavenumber information using the full wavefields including phases and amplitudes, whereas FWT reconstructs the low-wavenumber velocities using predominantly phase (or traveltime) information rather than amplitude information.…”

Section: Introductionmentioning

confidence: 99%

2D frequency-domain elastic full-waveform inversion using time-domain modeling and a multistep-length gradient approach

McMechan

2014

GEOPHYSICS

Self Cite

View full text Add to dashboard Cite

To decouple the parameters in elastic full-waveform inversion (FWI), we evaluated a new multistep-length gradient approach to assign individual weights separately for each parameter gradient and search for an optimal step length along the composite gradient direction. To perform wavefield extrapolations for the inversion, we used parallelized high-precision finite-element (FE) modeling in the time domain. The inversion was implemented in the frequency domain; the data were obtained at every subsurface grid point using the discrete Fourier transform at each time-domain extrapolation step. We also used frequency selection to reduce cycle skipping, time windowing to remove the artifacts associated with different source spatial patterns between the test and predicted data, and source wavelet estimation at the receivers over the full frequency spectrum by using a fast Fourier transform. In the inversion, the velocity and density reconstructions behaved differently; as a low-wavenumber tomography (for velocities) and as a high-wavenumber migration (for density). Because velocities and density were coupled to some extent, variations were usually underestimated (smoothed) for V P and V S and correspondingly overestimated (sharpened) for ρ. The impedances I P and I S from the products of the velocity and density results compensated for the under-or overestimations of their variations, so the recovered impedances were closer to the correct ones than V P , V S , and ρ were separately. Simultaneous reconstruction of V P , V S , and ρ was robust on the FE and finite-difference synthetic data (without surface waves) from the elastic Marmousi-2 model; satisfactory results are obtained for V P , V S , ρ, and the recovered I P and I S from their products. Convergence is fast, needing only a few tens of iterations, rather than a few hundreds of iterations that are typical in most other elastic FWI algorithms.

show abstract

Ore-body imaging by crosswell seismic waveform inversion: A case study from Kambalda, Western Australia

Cited by 13 publications

References 37 publications

Seismic methods in mineral exploration and mine planning: A general overview of past and present case histories and a look into the future

Seismic methods in mineral exploration and mine planning: A general overview of past and present case histories and a look into the future

Using stochastic crosshole seismic velocity tomography and Bayesian simulation to estimate Ni grades: Case study from Voisey's Bay, Canada

2D frequency-domain elastic full-waveform inversion using time-domain modeling and a multistep-length gradient approach

Contact Info

Product

Resources

About