Overview
Airborne Trends in Mineral Exploration
Why Potassium?
Benefits of Potassium Vapour Magnetometers
How we did it!
Bird’s family
Gradiometers – Rationale
Tri-Directional Gradiometer – Bird
GEM DAS
Sample Customer Maps
Conclusion
Source : http://www.gemsys.ca/technology/tech-notes-papers/
A Balloon-Borne Light Source for Precision Photometric CalibrationMax Fagin
ALTAIR (Airborne Laser for Telescopic Atmospheric Interference Reduction) is a balloon-borne optical calibration source used to calibrate the next generation of supernova surveys for probing the nature of the dark energy. The project is a collaboration among colleagues at Harvard University, the University of Victoria, and Dartmouth College. The Dartmouth component has responsibility for vehicle development, telemetry, ground tracking, and flight operations.
Laser-Based Standoff Methane Sensors for Enhancing Coal Miner SafetyClinton Smith
This presentation shows a demonstration of the PSI & Heath Consultants Remote Methane Leak Detector (RMLD) being applied to remote detection of methane within coal mines to supplement existing technology to further enhance coal miner safety.
A Balloon-Borne Light Source for Precision Photometric CalibrationMax Fagin
ALTAIR (Airborne Laser for Telescopic Atmospheric Interference Reduction) is a balloon-borne optical calibration source used to calibrate the next generation of supernova surveys for probing the nature of the dark energy. The project is a collaboration among colleagues at Harvard University, the University of Victoria, and Dartmouth College. The Dartmouth component has responsibility for vehicle development, telemetry, ground tracking, and flight operations.
Laser-Based Standoff Methane Sensors for Enhancing Coal Miner SafetyClinton Smith
This presentation shows a demonstration of the PSI & Heath Consultants Remote Methane Leak Detector (RMLD) being applied to remote detection of methane within coal mines to supplement existing technology to further enhance coal miner safety.
High-accuracy laser spectrometers for wireless trace-gas sensor networksClinton Smith
The subject of this dissertation is the development of a wireless sensor network composed of instruments which employ both VCSELs and QCLs for accurate, highly sensitive, and reliable long-term monitoring of environmental trace-gases. The dissertation focuses on the development of low-power instruments and calibration methods that ensure the reliability of long-term measurements.
First the field deployment of a low-power, portable, wireless laser spectroscopic sensor node for atmospheric CO2 monitoring is demonstrated. The sensor node shows 0.14 ppmv Hz^-1/2 1 sigma measurement sensitivity of CO2 concentration changes. It was first used to measure top-soil respiration rates in the laboratory and on forest floors in the field.
Then after a long-term field deployment to further assess instrument performance, new design solutions were implemented to improve fringe-limited precision of the nodes to 4-7 ppmv against a 400 ppmv CO2 background, making their performance comparable to higher power consuming commercial trace-gas analyzers. Three optimized nodes were then deployed into mixed landscapes as part of a solar powered CO2 monitoring wireless network. The three node network monitored CO2 in a grassy/woody courtyard, on top of the roof of an engineering building, and next to a road in the Princeton area. These works show that ultra-low powered VCSEL based sensor nodes can be placed in off-the-grid environments for autonomous distributed geographic monitoring of trace-gases in a manner which is impossible with current commercial techniques.
Next, this dissertation covers two techniques that were developed for the real-time calibration of laser-based trace-gas measurements. The first technique used an in-line reference gas cell and employed wavelength modulation spectroscopy (WMS) at higher harmonics to simultaneously probe the sample and reference spectra. The second technique used a revolving in-line reference cell to suppress background and other non-spectroscopic signals. These techniques were designed for eventual inclusion as a real-time calibration source for field deployable trace-gas sensors and wireless sensor networks.
Finally, this dissertation demonstrates the use of the CW injection current into a VCSEL in an external cavity configuration to tune the cavity emission's self-oscillation frequency and show through simulation and experiment that the tuning is dependent on VCSEL birefringence change.
Dissertation PDF at www.clintonjsmith.com
dispersion modeling requirements are more common in air permitting projects and in many cases become the bottleneck in permitting. Unlike any other consulting firm, CPP promotes cutting edge techniques which can alleviate excessive conservatism in permit modeling to a reasonable level that still protects public health. At CPP we start with the standard modeling techniques and apply the following advanced analysis tools, as needed, to optimize your permitting strategy:
• Analysis of BPIP output to verify if AERMOD is overpredicting,
• Screening tool to assess the benefit of refining the BPIP building dimensions inputs,
• Use of Equivalent Building Dimension (EBD) studies to correct building wake effects in AERMOD,
• Evaluation of background concentrations to determine a reasonable value to combine with predicted concentrations,
• Use of the Monte Carlo approach (i.e., EMVAP) to address sources with variable emissions,
• Use of the adjusted friction velocity (u-star) option in AERMET to address AERMOD’s overestimation during low wind stable hours,
• Site analysis to determine whether stacks taller than formula GEP stack heights are justified,
• Site specific wind tunnel modeling to determine GEP stack heights and Equivalent Building Dimensions,
• Site-specific wind erosion inputs, and
• Area and volume source enhancements.
EFFECTS OF MET DATA PROCESSING IN AERMOD CONCENTRATIONSSergio A. Guerra
The current study evaluates the effect that different parameters used to process meteorological data have on AERMOD concentrations. Specifically, this study evaluates the effect from the use of AERMET processed with; 1-minute wind data collected by the Automated Surface Observing System (ASOS) and pre-processed using AERMINUTE, refined National Climatic Data Center (NCDC) station location and anemometer height, surface moisture, and urban/rural options. In this evaluation, one year of meteorological data was processed with nine different sets of input parameters and then used in AERMOD to run a short, medium and tall stack scenario for 1-hour, 24-hour and annual averaging periods. Downwash and terrain effects were not considered in this study. The results indicate that the three stack scenarios are sensitive to the location used for the meteorological station. Anemometer height changes had a small effect on concentrations for all scenarios except for the tall stack scenario which produced a modest increase in concentrations for the annual averaging period. Surface moisture was not found to have a strong effect on the scenarios evaluated. The use of AERMINUTE data resulted in significantly higher concentrations for the 1-hour (85%), 24-hour (81%), and annual (88%) averaging periods. The ice free group station option in AERMINUTE was also evaluated. When using AERMINUTE without specifying that the station is part of the ice free wind group stations, the concentrations obtained for tall stack scenario were lower for the 1-hour (64%), 24-hour (68%), and annual (78%) averaging periods. Finally, when it comes to the urban/rural evaluation, the greatest effect is observed in the medium stack scenario where concentrations double for the 1-hour scenario when using the rural option. However, in the tall stack scenario, significantly lower concentrations were obtained by using the urban parameter for the three averaging periods evaluated.
Presented at the 10th Conference of Air Quality Modeling
EPA‐Research Triangle Park, NC Campus on March 15, 2012; at the AWMA UMS Dispersion Modeling Workshop on May 15, 2012 and at the Annual AWMA Conference on June 20, 2012.
INNOVATIVE DISPERSION MODELING PRACTICES TO ACHIEVE A REASONABLE LEVEL OF CON...Sergio A. Guerra
Presentation delivered at the Board meeting for the Upper Midwest section of the Air and Waste Management Association meeting on September 16, 2014.
Innovative dispersion modeling techniques are presented including ARM2, EMVAP and the 50th percentile background concentration. Case study involves peaking engines that are used 250 hour per year. These intermittent sources are required to undergo a modeling evaluation in many states. Current modeling techniques grossly overestimate the emissions from these sporadic sources.
INNOVATIVE DISPERSION MODELING PRACTICES TO ACHIEVE A REASONABLE LEVEL OF CON...Sergio A. Guerra
Presentation delivered at the Annual Air and Waste Management Association conference in Long beach, California on June 26, 2014.
Innovative dispersion modeling techniques are presented including ARM2, EMVAP and the 50th percentile background concentration. Case study involves peaking engines that are used 250 hour per year. These intermittent sources are required to undergo a modeling evaluation in many states. Current modeling techniques grossly overestimate the emissions from these sporadic sources.
Air quality challenges and business opportunities in China: Fusion of environ...CLIC Innovation Ltd
MMEA (The Measurement, Monitoring and Environmental Efficiency Assessment) research program final seminar presentation by Dr. Ari Karppinen, Finnish Meteorological Institute
Pairing aermod concentrations with the 50th percentile monitored valueSergio A. Guerra
Presentation delivered to the Background Concentrations Workgroup for Air Dispersion Modeling organized by the Minnesota Pollution Control Agency. delivered on May 29, 2014. Three topics covered include 1) Screening monitoring data, 2) AERMOD’s time-space mismatch, and
3) Proposed 50th % Bkg Method
High-accuracy laser spectrometers for wireless trace-gas sensor networksClinton Smith
The subject of this dissertation is the development of a wireless sensor network composed of instruments which employ both VCSELs and QCLs for accurate, highly sensitive, and reliable long-term monitoring of environmental trace-gases. The dissertation focuses on the development of low-power instruments and calibration methods that ensure the reliability of long-term measurements.
First the field deployment of a low-power, portable, wireless laser spectroscopic sensor node for atmospheric CO2 monitoring is demonstrated. The sensor node shows 0.14 ppmv Hz^-1/2 1 sigma measurement sensitivity of CO2 concentration changes. It was first used to measure top-soil respiration rates in the laboratory and on forest floors in the field.
Then after a long-term field deployment to further assess instrument performance, new design solutions were implemented to improve fringe-limited precision of the nodes to 4-7 ppmv against a 400 ppmv CO2 background, making their performance comparable to higher power consuming commercial trace-gas analyzers. Three optimized nodes were then deployed into mixed landscapes as part of a solar powered CO2 monitoring wireless network. The three node network monitored CO2 in a grassy/woody courtyard, on top of the roof of an engineering building, and next to a road in the Princeton area. These works show that ultra-low powered VCSEL based sensor nodes can be placed in off-the-grid environments for autonomous distributed geographic monitoring of trace-gases in a manner which is impossible with current commercial techniques.
Next, this dissertation covers two techniques that were developed for the real-time calibration of laser-based trace-gas measurements. The first technique used an in-line reference gas cell and employed wavelength modulation spectroscopy (WMS) at higher harmonics to simultaneously probe the sample and reference spectra. The second technique used a revolving in-line reference cell to suppress background and other non-spectroscopic signals. These techniques were designed for eventual inclusion as a real-time calibration source for field deployable trace-gas sensors and wireless sensor networks.
Finally, this dissertation demonstrates the use of the CW injection current into a VCSEL in an external cavity configuration to tune the cavity emission's self-oscillation frequency and show through simulation and experiment that the tuning is dependent on VCSEL birefringence change.
Dissertation PDF at www.clintonjsmith.com
dispersion modeling requirements are more common in air permitting projects and in many cases become the bottleneck in permitting. Unlike any other consulting firm, CPP promotes cutting edge techniques which can alleviate excessive conservatism in permit modeling to a reasonable level that still protects public health. At CPP we start with the standard modeling techniques and apply the following advanced analysis tools, as needed, to optimize your permitting strategy:
• Analysis of BPIP output to verify if AERMOD is overpredicting,
• Screening tool to assess the benefit of refining the BPIP building dimensions inputs,
• Use of Equivalent Building Dimension (EBD) studies to correct building wake effects in AERMOD,
• Evaluation of background concentrations to determine a reasonable value to combine with predicted concentrations,
• Use of the Monte Carlo approach (i.e., EMVAP) to address sources with variable emissions,
• Use of the adjusted friction velocity (u-star) option in AERMET to address AERMOD’s overestimation during low wind stable hours,
• Site analysis to determine whether stacks taller than formula GEP stack heights are justified,
• Site specific wind tunnel modeling to determine GEP stack heights and Equivalent Building Dimensions,
• Site-specific wind erosion inputs, and
• Area and volume source enhancements.
EFFECTS OF MET DATA PROCESSING IN AERMOD CONCENTRATIONSSergio A. Guerra
The current study evaluates the effect that different parameters used to process meteorological data have on AERMOD concentrations. Specifically, this study evaluates the effect from the use of AERMET processed with; 1-minute wind data collected by the Automated Surface Observing System (ASOS) and pre-processed using AERMINUTE, refined National Climatic Data Center (NCDC) station location and anemometer height, surface moisture, and urban/rural options. In this evaluation, one year of meteorological data was processed with nine different sets of input parameters and then used in AERMOD to run a short, medium and tall stack scenario for 1-hour, 24-hour and annual averaging periods. Downwash and terrain effects were not considered in this study. The results indicate that the three stack scenarios are sensitive to the location used for the meteorological station. Anemometer height changes had a small effect on concentrations for all scenarios except for the tall stack scenario which produced a modest increase in concentrations for the annual averaging period. Surface moisture was not found to have a strong effect on the scenarios evaluated. The use of AERMINUTE data resulted in significantly higher concentrations for the 1-hour (85%), 24-hour (81%), and annual (88%) averaging periods. The ice free group station option in AERMINUTE was also evaluated. When using AERMINUTE without specifying that the station is part of the ice free wind group stations, the concentrations obtained for tall stack scenario were lower for the 1-hour (64%), 24-hour (68%), and annual (78%) averaging periods. Finally, when it comes to the urban/rural evaluation, the greatest effect is observed in the medium stack scenario where concentrations double for the 1-hour scenario when using the rural option. However, in the tall stack scenario, significantly lower concentrations were obtained by using the urban parameter for the three averaging periods evaluated.
Presented at the 10th Conference of Air Quality Modeling
EPA‐Research Triangle Park, NC Campus on March 15, 2012; at the AWMA UMS Dispersion Modeling Workshop on May 15, 2012 and at the Annual AWMA Conference on June 20, 2012.
INNOVATIVE DISPERSION MODELING PRACTICES TO ACHIEVE A REASONABLE LEVEL OF CON...Sergio A. Guerra
Presentation delivered at the Board meeting for the Upper Midwest section of the Air and Waste Management Association meeting on September 16, 2014.
Innovative dispersion modeling techniques are presented including ARM2, EMVAP and the 50th percentile background concentration. Case study involves peaking engines that are used 250 hour per year. These intermittent sources are required to undergo a modeling evaluation in many states. Current modeling techniques grossly overestimate the emissions from these sporadic sources.
INNOVATIVE DISPERSION MODELING PRACTICES TO ACHIEVE A REASONABLE LEVEL OF CON...Sergio A. Guerra
Presentation delivered at the Annual Air and Waste Management Association conference in Long beach, California on June 26, 2014.
Innovative dispersion modeling techniques are presented including ARM2, EMVAP and the 50th percentile background concentration. Case study involves peaking engines that are used 250 hour per year. These intermittent sources are required to undergo a modeling evaluation in many states. Current modeling techniques grossly overestimate the emissions from these sporadic sources.
Air quality challenges and business opportunities in China: Fusion of environ...CLIC Innovation Ltd
MMEA (The Measurement, Monitoring and Environmental Efficiency Assessment) research program final seminar presentation by Dr. Ari Karppinen, Finnish Meteorological Institute
Pairing aermod concentrations with the 50th percentile monitored valueSergio A. Guerra
Presentation delivered to the Background Concentrations Workgroup for Air Dispersion Modeling organized by the Minnesota Pollution Control Agency. delivered on May 29, 2014. Three topics covered include 1) Screening monitoring data, 2) AERMOD’s time-space mismatch, and
3) Proposed 50th % Bkg Method
IMU (inertial measurement unit) has already played significant roles in the control system of aerospace and other vehicle platforms. Due to the maturity and low cost of MEMS technology, IMU starts to penetrate consumer products such as smartphone, wearables and VR/AR devices.
This sharing will focus on the general introduction of IMU components, signal characteristics and application concepts, with an attempt to guide those who is interested in the IMU-based system integration and algorithm development.
LSG-3000 CCD Moving Detector Goniophotometer is full meet LM-79 Clause 9.3.1 request. The tested lamp will keep burning position and be fixed, near field detector move together with the big mirror in a line, and the far field detector will move with the big mirror synchronously. The detector will always sense the light directly from the luminaries.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
New generation of high sensitivity airborne potassium magnetometers
1.
2. New Generation of High Sensitivity
Airborne Potassium Magnetometers
Taiwan, 2012
Michael Wilson
Director, Production
www.gemsys.ca
mike.wilson@gemsys.ca
3. Overview
Airborne Trends in Mineral Exploration
Why Potassium?
Benefits of Potassium Vapour Magnetometers
How we did it!
Bird’s family
Gradiometers – Rationale
Tri-Directional Gradiometer – Bird
GEM DAS
Sample Customer Maps
Conclusion
4. Airborne Trends in Mineral Exploration
Last 5 years it has seen a number of key trends that affect
the implementation of any new airborne technology:
1. High Resolution Data
2. More Information from Data
3. Better Positioned Data
4. Safe Acquisition
5. Cost Effective Acquisition
5. Why Potassium?
• Highest Sensitivity:
Standard sensitivity 0.0005nT @ 1Hz (Model GSMP-35A) and optional High
sensitivity 0.0001nT @ 1 HZ (Model GSMP-30A) are available.
• Minimal Heading Error:
less than 0.05nT for high data quality. The composite spectral line of other vapor
magnetometers changes its shape as a function of sensor orientation in the
magnetic field, resulting in a significant heading error (+/- 1 nT). In contrast, the
Potassium single line has virtually no dependence on sensor field orientation.
• Perfect System
for multi-sensor airborne applications, with highest absolute accuracy +/- 0.05nT
for effectiveness in operation of gradiometers and multi-sensor gradiometers. The
single regular spectral line operation guarantees an absolute accuracy surpassing
the absolute accuracy of other vapor magnetometers <3 nT
6. Potassium Principles - Spectral Lines
4 Narrow Spectral Lines
approximately 100 nT apart in
50,000 nT field
Narrow, symmetrical lines a key
enabler of the technology
Affect sensitivity and gradient
tolerance … GEM developed
gradient optimization procedures
(2002)
Sweep and “lock” on to first line
345 346 347
Frequency, KHz
11. Absolute Accuracy
• Accuracy of +/- 0.05 nT between sensors
• Notable improvement over other sensors +/- 3 nT
< 0.1 nT
Two K-Mag sensors over same source
12. Sampling Rates
• Faster sampling rates of 20 Hz and greater
• 2x or grater improvement over other sensors
• Higher inline data density
High Freq. Data Sampling
Low Freq. Data SamplingHigh Gradient Area
13. Gradient Tolerance
• 20,000 to 120,000 nT dynamic range boundary (20% higher than other sensors)
• Capable of measuring gradients of up to 35,000 nT/m
Clipped Data
20k – 100k nT Dynamic Range
120,000 nT
100,000 nT
14. How We Did It!
• Ruggedized Electronics and Sensor
• Add Memory for Back-up purposes
• Compact electronic Box
• Light weight 630 grams
By Redesigning the complete system:
16. Helicopter – Magnetic Data
“You have designed and built a great piece of equipment! ”
Alan Davies, P.Eng., V.P. Exploration, Talmora Diamond Inc.
17. Gradiometers - Rationale
• Focusing on increased spatial resolution and
detail; small anomalies on the flanks of large
features can be clearly resolved
• Vertical gradient information used in vertical
gradient maps, analytic signal maps and Euler
products
• Longitudinal and horizontal gradient used to
improve the accuracy and resolution of magnetic
maps
• Detection of even the smallest source can be
achieved with a line spacing of up to 2 times
height above magnetic source (Scott Hogg, et al,
2004)
Magnetometer data
Gradiometer data
Improved Resolution of Small Targets
18. Tri-Directional Gradiometer Bird
Fins are spaced at 120 degrees to allow for simple
calculation of gradients in all three directions:
• Average magnetic field of the two lower fins falls beneath
the upper fin sensor to allow for vertical gradient
calculation
• Average of all three sensors falls in the centre of the bird
shell to allow for simple determination of along-track
gradient
• Two lower fins used to calculate across-track gradient
21. NEW VLF-EM Airborne Systems
VLF total field grid during a CMG survey in 2008
22. Advanced Airborne Systems
GEM DAS (Data Acquisition System)
Records in Real-time Data from:
• Magnetometers Data
• Radar Altimeter
• GPS 20 HZ
• 2 VLF-EM
• Flight Details
23. Advanced Airborne Systems
GEM DAS (Data Acquisition System)
Display in Real-time Data:
• Magnetometers
• Radar Altimeter
• GPS Coordinates and #
Satellites
• 2 VLF-EM Frequency
• Signal strength of Mag
• Mags Lock Signal
• Fourth Difference
• Low Altitude Alarm
• Color warnings
24. Advanced Airborne Systems
GEM DAS (Data Acquisition System)
Display in Real-time
• Flight Tracing
• Communications window
25. Base Stations
Overhauser or Potassium base stations available for
effective elimination of diurnals:
• Precise time synchronization of airborne and base station
units using a built-in GPS option
• Multiple modes of operation:
• Flexible (up to 30 periods)
• Daily (specify daily hours)
• Immediate (start instantly)
26. Sample Customer Maps
The Airborne Data presented for here is raw data no filtering, no line
leveling.
VLF Total Field
27. Sample Customer Maps
The Airborne Data presented for here is raw data no filtering, no line
leveling.
Total Magnetic Intensity
28. Sample Customer Maps
The Airborne Data presented for here is raw data no filtering, no line
leveling.
Total Magnetic Intensity
29. Sample Customer Maps
The Airborne Data presented for here is raw data no filtering, no line
leveling.
Measured Vertical Magnetic Gradient
30. Sample Customer Maps
The Airborne Data presented for here is raw data no filtering, no line
leveling.
Digital Terrain Model
31. Sample Customer Maps
• Magnetic Inversion
• Three dimensional drill core analysis
• Drill collar selection based on optimal intersections
Example Inversion Modeling (Li, 1996)
32. Potassium – Specifications
• Sensitivity: 0.5 pT
• Resolution: 0.0001 nT
• Absolute Accuracy: +/- 0.05 nT
• Dynamic Range: 10,000 to 120,000 nT
• Gradient Tolerance: 35,000 nT /m
• Sensor Angle: Optimum angle 30 between sensor
head axis and field vector
• Heading Error: <0.05 nT between 10 to 80 and 360 full
rotation about axis
33. Conclusion
GEM Changing the Nature of Surveying
• GSMP-35A is a State of the Art System for airborne surveys
• Tested, all ready flew over 200,000 line km
• Its High Sensitivity and Unique absolute accuracy makes the
Perfect magnetometer for High Sensitivity Surveys
• Results demonstrate the effectiveness of the system for High Resolution
magnetic and gradiometric surveys