GETMAG – a SQUID Magnetic Tensor Gradiometer for Mineral and Oil Exploration

Schmidt, P. W.; Clark, David; Leslie, Keith; Bick, M.; Tilbrook, David; Foley, C. P.

doi:10.1071/eg04297

Cited by 121 publications

(81 citation statements)

References 11 publications

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Section: 72mentioning

confidence: 99%

“…This sensor is part of a prototype gradiometer developed for a previous geophysical project (Schmidt et al, 2004) It consists of a single SQUID magnetometer coupled to a tilted axial gradiometer. By rotating the gradiometer through 360° in eight steps, gradient terms from two axes can be deduced.…”

Section: 53mentioning

confidence: 99%

“…On the day in question, it was biased using a d.c. current. Results from the GETMAG trials (Schmidt et al, 2004), show that an order of magnitude improvement in noise performance is possible by both heating the SQUID after moving and using a.c. bias reversal.For the one trial undertaken, while the EM63 was transmitting, the raw SQUID signal's standard deviation did not match the noise estimates above; typically the standard deviations were ~ 1.5 nT / m. This appears twice as bad as the fluxgate gradiometer noise. The reasons for this are unclear at this stage, but may be related to measurement extraction artifacts.…”

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confidence: 99%

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Precision Geolocation of Active Electromagnetic Sensors Using Stationary Magnetic Sensors

Billings¹,

Blay²,

Leslie³

et al. 2009

Self Cite

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to the Department of Defense, Executive Services and Communications Directorate (0704-0188). Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ORGANIZATION. 1. REPORT DATE (DD-MM-YYYY)2. REPORT TYPE 3. DATES COVERED (From -To) 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER The objective of this project was to conduct a proof-of-principle demonstration that a single, fixed gradiometer or vector magnetometer could track an active EM sensor at sub-centimeter position and sub-degree accuracy over short baselines. We have shown that the concept of locating a UXO cart via the measurement of its transmitter signal is sound. Further work is warranted to develop a more precise system. Some of the areas that we recommend pursuing are: Develop and trial a refined model of the transmitter source for inversion optimization; investigate the potential of other sensors; investigate the observed unexpected limitation in both the fluxgate and SQUID sensor systems' signal to noise ratio; determine the level of accuracy obtainable when the cart is in motion; Develop and trial improved signal processing and inversion algorithms; and investigate the feasibility of using the technique within the marine environment. AUTHOR(S) PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION REPORT NUMBER SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR'S ACRONYM(S) SPONSOR/MONITOR'S REPORT NUMBER(S)12Active EM sensor tracking, fixed gradiometer, vector magnetometer, UXO cart tracking U UU 139Dr. Stephen Billings 541-552-5185 ResetPrecision Geolocation of Active Electromagnetic MM-1643 Sensors Using Stationary Magnetic SensorsSeptember 2009 ii EXECUTIVE SUMMARYThe objective of this project was to conduct a proof-of-principle demonstration that a single, fixed gradiometer or vector magnetometer could track an active EM sensor at sub-centimeter position and sub-degree accuracy over short baselines (< 15 m for cued interrogation) and at ~10 cm position accuracy over longer baselines (up to 50 m for application in wooded terrain or underwater). To summarize the project:• A full-tensor magnetic gradiometer consisting of 4, 3-axis fluxgates was built to test the feasibility of the concept.• A trial was performed with an EM63 UXO cart, a GPS receiver and the gr...

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Section: 72mentioning

confidence: 99%

Section: 53mentioning

confidence: 99%

mentioning

confidence: 99%

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Precision Geolocation of Active Electromagnetic Sensors Using Stationary Magnetic Sensors

Billings¹,

Blay²,

Leslie³

et al. 2009

Self Cite

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“…Projects undertaken by the group include the use of SQUIDs for biomagnetometry (magnetic mapping of brain activity), detection of metal contaminants in food [2], SQUID sensors for Time Domain Electromagnetic geophysical prospecting [3], magnetic anomaly detection for Geophysical and Defence applications [4], and THz imaging using Josephson Junctionbased detectors [5] to name a few. An overview of these activities follows:…”

Section: Cmse -Superconducting Sciencementioning

confidence: 99%

An overview of some of CSIRO’s “Underground Science” capabilities

Leslie

Dewhurst²

2011

I-Dust 2010

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Abstract. CSIRO is a multi-disciplined, Australian Government funded, science organisation whose major aims include the investigation of science issues that are of particular relevance to Australia in a global context. The organisation has over 5700 employees. This review paper contains a broad outline of some of the "underground science" capabilities found within CSIRO, with an emphasis on SQUID-based sensors developed within the CSIRO's Superconductivity Group and the general capabilities to be found within CSIRO's Petroleum Geoscience Program.

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“…It is very significant to utilize computers to save, manage and use a large number of valuable professional information in the process of oil exploration, and then design new exploration and production methods [2,3]. With the rapid popularization of information techniques in the petroleum industry, how to promote the management efficiency of petroleum enterprise is a key issue for us to solve [4].…”

Section: Introductionmentioning

confidence: 99%

Oil exploration oriented multi-sensor image fusion algorithm

2017

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Abstract:In order to accurately forecast the fracture and fracture dominance direction in oil exploration, in this paper, we propose a novel multi-sensor image fusion algorithm. The main innovations of this paper lie in that we introduce Dual-tree complex wavelet transform (DTCWT) in data fusion and divide an image to several regions before image fusion. DTCWT refers to a new type of wavelet transform, and it is designed to solve the problem of signal decomposition and reconstruction based on two parallel transforms of real wavelet. We utilize DTCWT to segment the features of the input images and generate a region map, and then exploit normalized Shannon entropy of a region to design the priority function. To test the effectiveness of our proposed multi-sensor image fusion algorithm, four standard pairs of images are used to construct the dataset. Experimental results demonstrate that the proposed algorithm can achieve high accuracy in multisensor image fusion, especially for images of oil exploration.

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GETMAG – a SQUID Magnetic Tensor Gradiometer for Mineral and Oil Exploration

Cited by 121 publications

References 11 publications

Precision Geolocation of Active Electromagnetic Sensors Using Stationary Magnetic Sensors

Precision Geolocation of Active Electromagnetic Sensors Using Stationary Magnetic Sensors

An overview of some of CSIRO’s “Underground Science” capabilities

Oil exploration oriented multi-sensor image fusion algorithm

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