Falcon Test Results from the Bathurst Mining Camp

Dransfield, Mark; Christensen, Asbjørn Nørlund; Rose, Marion; Stone, P.; Diorio, Peter

doi:10.1071/eg01243

Cited by 18 publications

(10 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The area has been extensively studied with geo-chemistry and geology (e.g., Fyffe, 1990;Van Staal, 1994, 2003 and geophysics (e.g., Dransfield et al, 2001;Wilson et al, 2011;Tschirhart, 2013). Figure 2 shows the complex regional geology in an area rich with volcanogenic massive sulfide (VMS) ore deposits.…”

Section: Field Examplementioning

confidence: 99%

See 1 more Smart Citation

Large-scale inversion of gravity gradiometry with differential equations

Haber

Davis²,

Holtham³

2014

SEG Technical Program Expanded Abstracts 2014

View full text Add to dashboard Cite

With recent advances in technology, geophysicists are able to acquire large-scale airborne gravity gradiometry data sets for oil and gas, and mineral exploration. The inversion of these data are advantageous by giving the interpreter a 3D model to interpret. The number of data and model parameters associated with these data sets make an inversion difficult to carry out without substantial computational resources. In this work, we present a finite-volume, differential-equation method for gravity gradiometry data inversion. The computation of the sensitivity times a vector and its adjoint is done by solving a fourth-order Poisson equation using a multigrid method. The forward modeling is set up as a solution of a linear inverse problem so that the sensitivities are never explicitly formed. This allows us to dramatically increase the storage capacity of the problem and invert regional problems. To demonstrate the effectiveness of our method, we present an inversion of the Bathurst Mining Camp region on a personal computer that consists of 1.4 million data and a mesh of 24 million cells.

show abstract

Section: Field Examplementioning

confidence: 99%

“…Figure 2 shows the complex regional geology in an area rich with volcanogenic massive sulfide (VMS) ore deposits. The density contrast (∼1.2 g/cm 3 ) of these deposits to the host sediments creates an ideal situation for gravity gradiometry (Dransfield et al, 2001).…”

Section: Field Examplementioning

confidence: 99%

Large-scale inversion of gravity gradiometry with differential equations

Haber

Davis²,

Holtham³

2014

SEG Technical Program Expanded Abstracts 2014

View full text Add to dashboard Cite

show abstract

“…The FALCON® AGG system (Dransfield et al, 2001) is able to measure gravity gradients of -30 to +30 Eö with a resolution of around 3 to 4 Eö. Dransfield et al (2001) and Lee (2001) have mentioned the use of a wavelength filter used during data collection from the FALCON® AGG system.…”

Section: Approachmentioning

confidence: 99%

“…The modelling code was written in MATLAB; an identical model was imported into the forward modelling package POTENT (www.geoss.com.au) to confirm the output responses. The range of output values were compared to published case history responses of current systems (Doll et al, 2001;Dransfield et al, 2001;Hammond and Murphy, 2003;Schmidt et al, 2004;Stening et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Modelling Gravity and Magnetic Gradient Tensor Responses for Exploration Within the Regolith

Heath

Greenhalgh

Direen

2005

Exploration Geophysics

View full text Add to dashboard Cite

The regolith obscures much of Australia's bedrock geology, posing problems for mineral exploration under cover. Gravity and magnetic gradient tensor data can provide significant improvements over established potential field techniques by producing maps showing subtle variations in field data which relate to the subsurface geology, but which are hidden to standard total or vertical field measurements. We examine the forward potential field response of a complex three-dimensional regolith model that contains targets such as palaeochannels, land mines, and mineralisation. By summing the field responses from many small elementary cubes, it is possible to represent complex structures to yield the full gradient tensor response at a specified height above the ground.The gravity gradient tensor data from the model ranges over values from -0.12 to 0.2 Eötvös, and the magnetic gradient tensor data for the model ranges from -1000 to 600 nanoTeslas per metre (when measured at the surface), over typical regolith-related features. When a flight height of 80 m is used, the responses diminish considerably, and only the long-wavelength features of the model are detectable.Model response values are compared to the measurable responses from existing acquisition systems, and it is shown that the magnetic gradient tensor case is most suited to regolith investigations. The resolution required for the gravity gradient tensor appears to be higher than is possible with current gravity gradiometers.

show abstract

“…The noise of the vertical gravity gradient achieves about 5 Eötvös (E) after post-processing techniques similar to those used by the Bell Geospace 3D-FTG system. In addition, the system uses a Falcon Butterworth 400-meter wavelength filter (Dransfield et al, 2001;Lane, 2004 apud Rogers, 2009). Unlike the 3D-FTG or Air-FTG system, the Falcon system consists of a single GGI module measuring approximately two length units related to the dimensions of a single GGI of the 3D FTG system (Galbiatti et al, 2011).…”

Section: Falconmentioning

confidence: 99%

Airborne Gravity Gradiometry – Data Processing and Interpretation

Carlos¹,

Braga²,

Galbiatti³

et al. 2013

Rev. Bras. Geof.

View full text Add to dashboard Cite

ABSTRACT. This paper discusses some processing techniques (all codes were implemented with open source software) developed for airborne gravity gradient systems, aiming at outlining geological features by applying mathematical formulations based on the potential field properties and its breakdown into gradiometric tensors. These techniques were applied to both synthetic and real data. These techniques applied to synthetic data allow working in a controlled environment, understanding the different processing results and establishing a comparative parameter. These methodologies were applied to a survey area of the Quadrilátero Ferrífero to map iron ore targets, resulting in a set of very helpful and important information for geological mapping activities and a priori information for inversion geophysical models.

show abstract

Falcon Test Results from the Bathurst Mining Camp

Cited by 18 publications

References 2 publications

Large-scale inversion of gravity gradiometry with differential equations

Large-scale inversion of gravity gradiometry with differential equations

Modelling Gravity and Magnetic Gradient Tensor Responses for Exploration Within the Regolith

Airborne Gravity Gradiometry – Data Processing and Interpretation

Contact Info

Product

Resources

About