Researcher receives $1.2 million to create real-time seismic imaging system

This is Dr. WenZhan Song. -  Georgia State University
This is Dr. WenZhan Song. – Georgia State University

Dr. WenZhan Song, a professor in the Department of Computer Science at Georgia State University, has received a four-year, $1.2 million grant from the National Science Foundation to create a real-time seismic imaging system using ambient noise.

This imaging system for shallow earth structures could be used to study and monitor the sustainability of the subsurface, or area below the surface, and potential hazards of geological structures. Song and his collaborators, Yao Xie of the Georgia Institute of Technology and Fan-Chi Lin of the University of Utah, will use ambient noise to image the subsurface of geysers in Yellowstone National Park.

“This project is basically imaging what’s underground in a situation where there’s no active source, like an earthquake. We’re using background noise,” Song said. “At Yellowstone, for instance, people visit there and cars drive by. All that could generate signals that are penetrating through the ground. We essentially use that type of information to tap into a very weak signal to infer the image of underground. This is very frontier technology today.”

The system will be made up of a large network of wireless sensors that can perform in-network computing of 3-D images of the shallow earth structure that are based solely on ambient noise.

Real-time ambient noise seismic imaging technology could also inform homeowners if the subsurface below their home, which can change over time, is stable or will sink beneath them.

This technology can also be used in circumstances that don’t need to rely on ambient noise but have an active source that produces signals that can be detected by wireless sensors. It could be used for real-time monitoring and developing early warning systems for natural hazards, such as volcanoes, by determining how close magma is to the surface. It could also benefit oil exploration, which uses methods such as hydrofracturing, in which high-pressure water breaks rocks and allows natural gas to flow more freely from underground.

“As they do that, it’s critical to monitor that in real time so you can know what’s going on under the ground and not cause damage,” Song said. “It’s a very promising technology, and we’re helping this industry reduce costs significantly because previously they only knew what was going on under the subsurface many days and even months later. We could reduce this to seconds.”

Until now, data from oil exploration instruments had to be manually retrieved and uploaded into a centralized database, and it could take days or months to process and analyze the data.

The research team plans to have a field demonstration of the system in Yellowstone and image the subsurface of some of the park’s geysers. The results will be shared with Yellowstone management, rangers and staff. Yellowstone, a popular tourist attraction, is a big volcano that has been dormant for a long time, but scientists are concerned it could one day pose potential hazards.

In the past several years, Song has been developing a Real-time In-situ Seismic Imaging (RISI) system using active sources, under the support of another $1.8 million NSF grant. His lab has built a RISI system prototype that is ready for deployment. The RISI system can be implemented as a general field instrumentation platform for various geophysical imaging applications and incorporate new geophysical data processing and imaging algorithms.

The RISI system can be applied to a wide range of geophysical exploration topics, such as hydrothermal circulation, oil exploration, mining safety and mining resource monitoring, to monitor the uncertainty inherent to the exploration and production process, reduce operation costs and mitigate the environmental risks. The business and social impact is broad and significant. Song is seeking business investors and partners to commercialize this technology.

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For more information about the project, visit http://sensorweb.cs.gsu.edu/?q=ANSI.

Researcher receives $1.2 million to create real-time seismic imaging system

This is Dr. WenZhan Song. -  Georgia State University
This is Dr. WenZhan Song. – Georgia State University

Dr. WenZhan Song, a professor in the Department of Computer Science at Georgia State University, has received a four-year, $1.2 million grant from the National Science Foundation to create a real-time seismic imaging system using ambient noise.

This imaging system for shallow earth structures could be used to study and monitor the sustainability of the subsurface, or area below the surface, and potential hazards of geological structures. Song and his collaborators, Yao Xie of the Georgia Institute of Technology and Fan-Chi Lin of the University of Utah, will use ambient noise to image the subsurface of geysers in Yellowstone National Park.

“This project is basically imaging what’s underground in a situation where there’s no active source, like an earthquake. We’re using background noise,” Song said. “At Yellowstone, for instance, people visit there and cars drive by. All that could generate signals that are penetrating through the ground. We essentially use that type of information to tap into a very weak signal to infer the image of underground. This is very frontier technology today.”

The system will be made up of a large network of wireless sensors that can perform in-network computing of 3-D images of the shallow earth structure that are based solely on ambient noise.

Real-time ambient noise seismic imaging technology could also inform homeowners if the subsurface below their home, which can change over time, is stable or will sink beneath them.

This technology can also be used in circumstances that don’t need to rely on ambient noise but have an active source that produces signals that can be detected by wireless sensors. It could be used for real-time monitoring and developing early warning systems for natural hazards, such as volcanoes, by determining how close magma is to the surface. It could also benefit oil exploration, which uses methods such as hydrofracturing, in which high-pressure water breaks rocks and allows natural gas to flow more freely from underground.

“As they do that, it’s critical to monitor that in real time so you can know what’s going on under the ground and not cause damage,” Song said. “It’s a very promising technology, and we’re helping this industry reduce costs significantly because previously they only knew what was going on under the subsurface many days and even months later. We could reduce this to seconds.”

Until now, data from oil exploration instruments had to be manually retrieved and uploaded into a centralized database, and it could take days or months to process and analyze the data.

The research team plans to have a field demonstration of the system in Yellowstone and image the subsurface of some of the park’s geysers. The results will be shared with Yellowstone management, rangers and staff. Yellowstone, a popular tourist attraction, is a big volcano that has been dormant for a long time, but scientists are concerned it could one day pose potential hazards.

In the past several years, Song has been developing a Real-time In-situ Seismic Imaging (RISI) system using active sources, under the support of another $1.8 million NSF grant. His lab has built a RISI system prototype that is ready for deployment. The RISI system can be implemented as a general field instrumentation platform for various geophysical imaging applications and incorporate new geophysical data processing and imaging algorithms.

The RISI system can be applied to a wide range of geophysical exploration topics, such as hydrothermal circulation, oil exploration, mining safety and mining resource monitoring, to monitor the uncertainty inherent to the exploration and production process, reduce operation costs and mitigate the environmental risks. The business and social impact is broad and significant. Song is seeking business investors and partners to commercialize this technology.

###

For more information about the project, visit http://sensorweb.cs.gsu.edu/?q=ANSI.

The bend in the Appalachian mountain chain is finally explained

A dense, underground block of volcanic rock (shown in red) helped shape the well-known bend in the Appalachian mountain range. -  Graphic by Michael Osadciw/University of Rochester.
A dense, underground block of volcanic rock (shown in red) helped shape the well-known bend in the Appalachian mountain range. – Graphic by Michael Osadciw/University of Rochester.

The 1500 mile Appalachian mountain chain runs along a nearly straight line from Alabama to Newfoundland-except for a curious bend in Pennsylvania and New York State. Researchers from the College of New Jersey and the University of Rochester now know what caused that bend-a dense, underground block of rigid, volcanic rock forced the chain to shift eastward as it was forming millions of years ago.

According to Cindy Ebinger, a professor of earth and environmental sciences at the University of Rochester, scientists had previously known about the volcanic rock structure under the Appalachians. “What we didn’t understand was the size of the structure or its implications for mountain-building processes,” she said.

The findings have been published in the journal Earth and Planetary Science Letters.

When the North American and African continental plates collided more than 300 million years ago, the North American plate began folding and thrusting upwards as it was pushed westward into the dense underground rock structure-in what is now the northeastern United States. The dense rock created a barricade, forcing the Appalachian mountain range to spring up with its characteristic bend.

The research team-which also included Margaret Benoit, an associate professor of physics at the College of New Jersey, and graduate student Melanie Crampton at the College of New Jersey-studied data collected by the Earthscope project, which is funded by the National Science Foundation. Earthscope makes use of 136 GPS receivers and an array of 400 portable seismometers deployed in the northeast United States to measure ground movement.

Benoit and Ebinger also made use of the North American Gravity Database, a compilation of open-source data from the U.S., Canada, and Mexico. The database, started two decades ago, contains measurements of the gravitational pull over the North American terrain. Most people assume that gravity has a constant value, but when gravity is experimentally measured, it changes from place to place due to variations in the density and thickness of Earth’s rock layers. Certain parts of the Earth are denser than others, causing the gravitational pull to be slightly greater in those places.

Data on the changes in gravitational pull and seismic velocity together allowed the researchers to determine the density of the underground structure and conclude that it is volcanic in origin, with dimensions of 450 kilometers by 100 kilometers. This information, along with data from the Earthscope project ultimately helped the researchers to model how the bend was formed.

Ebinger called the research project a “foundation study” that will improve scientists’ understanding of the Earth’s underlying structures. As an example, Ebinger said their findings could provide useful information in the debate over hydraulic fracturing-popularly known is hydrofracking-in New York State.

Hydrofracking is a mining technique used to extract natural gas from deep in the earth. It involves drilling horizontally into shale formations, then injecting the rock with sand, water, and a cocktail of chemicals to free the trapped gas for removal. The region just west of the Appalachian Basin-the Marcellus Shale formation-is rich in natural gas reserves and is being considered for development by drilling companies.

The bend in the Appalachian mountain chain is finally explained

A dense, underground block of volcanic rock (shown in red) helped shape the well-known bend in the Appalachian mountain range. -  Graphic by Michael Osadciw/University of Rochester.
A dense, underground block of volcanic rock (shown in red) helped shape the well-known bend in the Appalachian mountain range. – Graphic by Michael Osadciw/University of Rochester.

The 1500 mile Appalachian mountain chain runs along a nearly straight line from Alabama to Newfoundland-except for a curious bend in Pennsylvania and New York State. Researchers from the College of New Jersey and the University of Rochester now know what caused that bend-a dense, underground block of rigid, volcanic rock forced the chain to shift eastward as it was forming millions of years ago.

According to Cindy Ebinger, a professor of earth and environmental sciences at the University of Rochester, scientists had previously known about the volcanic rock structure under the Appalachians. “What we didn’t understand was the size of the structure or its implications for mountain-building processes,” she said.

The findings have been published in the journal Earth and Planetary Science Letters.

When the North American and African continental plates collided more than 300 million years ago, the North American plate began folding and thrusting upwards as it was pushed westward into the dense underground rock structure-in what is now the northeastern United States. The dense rock created a barricade, forcing the Appalachian mountain range to spring up with its characteristic bend.

The research team-which also included Margaret Benoit, an associate professor of physics at the College of New Jersey, and graduate student Melanie Crampton at the College of New Jersey-studied data collected by the Earthscope project, which is funded by the National Science Foundation. Earthscope makes use of 136 GPS receivers and an array of 400 portable seismometers deployed in the northeast United States to measure ground movement.

Benoit and Ebinger also made use of the North American Gravity Database, a compilation of open-source data from the U.S., Canada, and Mexico. The database, started two decades ago, contains measurements of the gravitational pull over the North American terrain. Most people assume that gravity has a constant value, but when gravity is experimentally measured, it changes from place to place due to variations in the density and thickness of Earth’s rock layers. Certain parts of the Earth are denser than others, causing the gravitational pull to be slightly greater in those places.

Data on the changes in gravitational pull and seismic velocity together allowed the researchers to determine the density of the underground structure and conclude that it is volcanic in origin, with dimensions of 450 kilometers by 100 kilometers. This information, along with data from the Earthscope project ultimately helped the researchers to model how the bend was formed.

Ebinger called the research project a “foundation study” that will improve scientists’ understanding of the Earth’s underlying structures. As an example, Ebinger said their findings could provide useful information in the debate over hydraulic fracturing-popularly known is hydrofracking-in New York State.

Hydrofracking is a mining technique used to extract natural gas from deep in the earth. It involves drilling horizontally into shale formations, then injecting the rock with sand, water, and a cocktail of chemicals to free the trapped gas for removal. The region just west of the Appalachian Basin-the Marcellus Shale formation-is rich in natural gas reserves and is being considered for development by drilling companies.

Gas-charged fluids creating seismicity associated with a Louisiana sinkhole

Natural earthquakes and nuclear explosions produce seismic waves that register on seismic monitoring networks around the globe, allowing the scientific community to pinpoint the location of the events. In order to distinguish seismic waves produced by a variety of activities – from traffic to mining to explosions – scientists study the seismic waves generated by as many types of events as possible.

In August 2012, the emergence of a very large sinkhole at the Napoleonville Salt Dome in Louisiana offered University of California, Berkeley scientists the opportunity to detect, locate and analyze a rich sequence of 62 seismic events that occurred one day prior to its discovery.

In June 2012, residents of Bayou Corne reported frequent tremors and unusual gas bubbling in local surface water. The U.S. Geological Survey installed a temporary network of seismic stations, and on August 3, a large sinkhole was discovered close to the western edge of the salt dome.

In this study published by the Bulletin of the Seismological Society of America (BSSA), co-authors Douglas Dreger and Avinash Nayak, evaluated the data recorded by the seismic network during the 24 hours prior to the discovery of the sinkhole. They implemented a waveform scanning approach to continuously detect, locate and analyze the source of the seismic events at the sinkhole, which are located to the edge of the salt dome and above and to the west of the cavern near the sinkhole.

The point-source equivalent force system describing the motions at the seismic source (called moment tensor) showed similarities to seismic events produced by explosions and active geothermal and volcanic environments. But at the sinkhole, an influx of natural gas rather than hot magma may be responsible for elevating the pore pressure enough to destabilize pre-existing zones of weakness, such as fractures or faults at the edge of the salt dome.

Gas-charged fluids creating seismicity associated with a Louisiana sinkhole

Natural earthquakes and nuclear explosions produce seismic waves that register on seismic monitoring networks around the globe, allowing the scientific community to pinpoint the location of the events. In order to distinguish seismic waves produced by a variety of activities – from traffic to mining to explosions – scientists study the seismic waves generated by as many types of events as possible.

In August 2012, the emergence of a very large sinkhole at the Napoleonville Salt Dome in Louisiana offered University of California, Berkeley scientists the opportunity to detect, locate and analyze a rich sequence of 62 seismic events that occurred one day prior to its discovery.

In June 2012, residents of Bayou Corne reported frequent tremors and unusual gas bubbling in local surface water. The U.S. Geological Survey installed a temporary network of seismic stations, and on August 3, a large sinkhole was discovered close to the western edge of the salt dome.

In this study published by the Bulletin of the Seismological Society of America (BSSA), co-authors Douglas Dreger and Avinash Nayak, evaluated the data recorded by the seismic network during the 24 hours prior to the discovery of the sinkhole. They implemented a waveform scanning approach to continuously detect, locate and analyze the source of the seismic events at the sinkhole, which are located to the edge of the salt dome and above and to the west of the cavern near the sinkhole.

The point-source equivalent force system describing the motions at the seismic source (called moment tensor) showed similarities to seismic events produced by explosions and active geothermal and volcanic environments. But at the sinkhole, an influx of natural gas rather than hot magma may be responsible for elevating the pore pressure enough to destabilize pre-existing zones of weakness, such as fractures or faults at the edge of the salt dome.

New hi-tech approach to studying sedimentary basins

A radical new approach to analysing sedimentary basins also harnesses technology in a completely novel way. An international research group, led by the University of Sydney, will use big data sets and exponentially increased computing power to model the interaction between processes on the earth’s surface and deep below it in ‘five dimensions’.

As announced by the Federal Minister for Education today, the University’s School of Geosciences will lead the Basin GENESIS Hub that has received $5.4 million over five years from the Australian Research Council (ARC) and industry partners.

The multitude of resources found in sedimentary basins includes groundwater and energy resources. The space between grains of sand in these basins can also be used to store carbon dioxide.

“This research will be of fundamental importance to both the geo-software industry, used by exploration and mining companies, and to other areas of the energy industry,” said Professor Dietmar Müller, Director of the Hub, from the School of Geosciences.

“The outcomes will be especially important for identifying exploration targets in deep basins in remote regions of Australia. It will create a new ‘exploration geodynamics’ toolbox for industry to improve estimates of what resources might be found in individual basins.”

Sedimentary basins form when sediments eroded from highly elevated regions are transported through river systems and deposited into lowland regions and continental margins. The Sydney Basin is a massive basin filled mostly with river sediments that form Hawkesbury sandstone. It is invisible to the Sydney population living above it but has provided building material for many decades.

“Previously the approach to analysing these basins has been based on interpreting geological data and two-dimensional models. We apply infinitely more computing power to enhance our understanding of sedimentary basins as the product of the complex interplay between surface and deep Earth processes,” said Professor Müller.

Associate Professor Rey, a researcher at the School of Geosciences and member of the Hub said, “Our new approach is to understand the formation of sedimentary basins and the changes they undergo, both recently and over millions to hundreds of millions of years, using computer simulations to incorporate information such as the evolution of erosion, sedimentary processes and the deformation of the earth’s crust.”

The researchers will incorporate data from multiple sources to create ‘five-dimensional’ models, combining three-dimensional space with the extra dimensions of time and estimates of uncertainty.

The modelling will span scales from entire basins hundreds of kilometres wide to individual sediment grains.

Key geographical areas the research will focus on are the North-West shelf of Australia, Papua New Guinea and the Atlantic Ocean continental margins.

The Hub’s technology builds upon the exponential increase in computational power and the increasing amount of available big data (massive data sets of information). The Hub will harness the capacity of Australia’s most powerful computer, launched in 2013.

New hi-tech approach to studying sedimentary basins

A radical new approach to analysing sedimentary basins also harnesses technology in a completely novel way. An international research group, led by the University of Sydney, will use big data sets and exponentially increased computing power to model the interaction between processes on the earth’s surface and deep below it in ‘five dimensions’.

As announced by the Federal Minister for Education today, the University’s School of Geosciences will lead the Basin GENESIS Hub that has received $5.4 million over five years from the Australian Research Council (ARC) and industry partners.

The multitude of resources found in sedimentary basins includes groundwater and energy resources. The space between grains of sand in these basins can also be used to store carbon dioxide.

“This research will be of fundamental importance to both the geo-software industry, used by exploration and mining companies, and to other areas of the energy industry,” said Professor Dietmar Müller, Director of the Hub, from the School of Geosciences.

“The outcomes will be especially important for identifying exploration targets in deep basins in remote regions of Australia. It will create a new ‘exploration geodynamics’ toolbox for industry to improve estimates of what resources might be found in individual basins.”

Sedimentary basins form when sediments eroded from highly elevated regions are transported through river systems and deposited into lowland regions and continental margins. The Sydney Basin is a massive basin filled mostly with river sediments that form Hawkesbury sandstone. It is invisible to the Sydney population living above it but has provided building material for many decades.

“Previously the approach to analysing these basins has been based on interpreting geological data and two-dimensional models. We apply infinitely more computing power to enhance our understanding of sedimentary basins as the product of the complex interplay between surface and deep Earth processes,” said Professor Müller.

Associate Professor Rey, a researcher at the School of Geosciences and member of the Hub said, “Our new approach is to understand the formation of sedimentary basins and the changes they undergo, both recently and over millions to hundreds of millions of years, using computer simulations to incorporate information such as the evolution of erosion, sedimentary processes and the deformation of the earth’s crust.”

The researchers will incorporate data from multiple sources to create ‘five-dimensional’ models, combining three-dimensional space with the extra dimensions of time and estimates of uncertainty.

The modelling will span scales from entire basins hundreds of kilometres wide to individual sediment grains.

Key geographical areas the research will focus on are the North-West shelf of Australia, Papua New Guinea and the Atlantic Ocean continental margins.

The Hub’s technology builds upon the exponential increase in computational power and the increasing amount of available big data (massive data sets of information). The Hub will harness the capacity of Australia’s most powerful computer, launched in 2013.

Aiming to improve the air quality in underground mines

Reducing diesel particulate matter emitted by the diesel powered vehicles used for underground mine work is the aim of researchers from Monash University. -  Monash University
Reducing diesel particulate matter emitted by the diesel powered vehicles used for underground mine work is the aim of researchers from Monash University. – Monash University

Reducing diesel particulate matter (DPM) exposure to miners in underground coalmines will be a step closer to reality with the awarding of a research grant to engineers from Monash University.

The $275,000 grant from the Australian Coal Association Research Programme (ACARP) goes to a multi-disciplinary team from the Maintenance Technology Institute (MTI), the Laboratory for Turbulence Research in Aerospace and Combustion (LTRAC) and the Australian Pulp and Paper Institute (APPI).

The grant will allow them to collaborate with leading industry original equipment manufacturers and mine site personnel as part of a broader long-term strategy to minimise DPM emissions in the mining industry.

Joint project leader Associate Professor Damon Honnery said it was important to find a way to reduce miners exposure to DPM which is both effective and cost efficient.

“DPM has recently been classified as a Group 1 carcinogen by the World Health Organisation, and is a significant problem for operators of underground coalmines,” Associate Professor Honnery said.

“Diesel powered vehicles are widely used for underground mine work and are generally fitted with diesel particulate filters (DPFs) to reduce particulate emissions which have very limited service life – typically around one or two shifts – resulting in excessive costs and ineffective control of DPM.”

The new project will complement an earlier ACARP project by the team that focussed on improving the service life of DPFs used in underground coalmines, which found reconditioned filters could be reused up to five times without compromising filter integrity or DPM filtration efficiency.

Fellow Project leader Dr Daya Dayawansa said while the earlier results offer a viable short-term solution to the DPM problem, a medium-term solution requires the careful examination and possible redesign of the entire exhaust conditioning system, in combination with improved diesel particulate filters.

Ultimately, the researchers believe that many diesel engines used in underground mining could be replaced by electric motors, despite the stringent regulations relating to electric systems in the potentially explosive underground atmosphere.

“While filter use will continue to reduce the impact of DPM emission in underground mines, the only truly effective long term solution is to remove the source from the mines altogether. Working with our partners, we hope to achieve this through the development of electric powered vehicles,” Dr Dayawansa said.

Aiming to improve the air quality in underground mines

Reducing diesel particulate matter emitted by the diesel powered vehicles used for underground mine work is the aim of researchers from Monash University. -  Monash University
Reducing diesel particulate matter emitted by the diesel powered vehicles used for underground mine work is the aim of researchers from Monash University. – Monash University

Reducing diesel particulate matter (DPM) exposure to miners in underground coalmines will be a step closer to reality with the awarding of a research grant to engineers from Monash University.

The $275,000 grant from the Australian Coal Association Research Programme (ACARP) goes to a multi-disciplinary team from the Maintenance Technology Institute (MTI), the Laboratory for Turbulence Research in Aerospace and Combustion (LTRAC) and the Australian Pulp and Paper Institute (APPI).

The grant will allow them to collaborate with leading industry original equipment manufacturers and mine site personnel as part of a broader long-term strategy to minimise DPM emissions in the mining industry.

Joint project leader Associate Professor Damon Honnery said it was important to find a way to reduce miners exposure to DPM which is both effective and cost efficient.

“DPM has recently been classified as a Group 1 carcinogen by the World Health Organisation, and is a significant problem for operators of underground coalmines,” Associate Professor Honnery said.

“Diesel powered vehicles are widely used for underground mine work and are generally fitted with diesel particulate filters (DPFs) to reduce particulate emissions which have very limited service life – typically around one or two shifts – resulting in excessive costs and ineffective control of DPM.”

The new project will complement an earlier ACARP project by the team that focussed on improving the service life of DPFs used in underground coalmines, which found reconditioned filters could be reused up to five times without compromising filter integrity or DPM filtration efficiency.

Fellow Project leader Dr Daya Dayawansa said while the earlier results offer a viable short-term solution to the DPM problem, a medium-term solution requires the careful examination and possible redesign of the entire exhaust conditioning system, in combination with improved diesel particulate filters.

Ultimately, the researchers believe that many diesel engines used in underground mining could be replaced by electric motors, despite the stringent regulations relating to electric systems in the potentially explosive underground atmosphere.

“While filter use will continue to reduce the impact of DPM emission in underground mines, the only truly effective long term solution is to remove the source from the mines altogether. Working with our partners, we hope to achieve this through the development of electric powered vehicles,” Dr Dayawansa said.