Webinar Schedule

Introducing QME – A New Standard for Seismographic and Environmental Monitoring
Data Acquisition

Featuring Dr. Mathias Franke, Kinemetrics, Inc.

Seismographic networks frequently incorporate the acquisition of related data sources. For example, the Global Seismographic Network combines data acquired from infrasound and meteorological sensors. The physical connection of multiple data sources to data acquisition equipment requires significant systems engineering to mitigate conditions that compromise the quality of acquired data

However, geophysical and environmental sensors are not physically co-located, resulting in wiring, which must be protected against physical damage.

The Q8 data acquisition system integrates additional data sources using low-power wireless transmission from multiple nodes via a secure, error-correcting protocol. This ensures precise timing in each node and allows nodes to “relay” traffic in a mesh topology.

Eliminating physical connections enables the placement of sensors for additional data (e.g., weather stations, magnetometers, etc.) in their optimal physical location away from local interference. Supporting up to 16 channels of information from up to 8 QME (Quanterra Mesh Extension) nodes at up to 1 sample/sec, the Q8 changes the standard for implementation of remote and distributed systems.

In this live webinar and Q&A session, Dr. Mathias Franke will describe the features of the QME, and provide understanding of how this technological advancement changes the standards for implementation of seismological and environmental sensors.

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Earthquake Early Warning Meets Actionable Information

Featuring Brandon Parrott, Kinemetrics, Inc.

What happens when you merge Earthquake Early Warning with all the information and tools you need to respond once the shaking hits?

You gain precious moments of warning to prepare for building motion, and the situational awareness you need to perform effective, responsible emergency response. This ultimately results in confidence, speed, and the best possible outcome.

OasisPlus is a Complete Earthquake Business Continuity Platform designed to provide the tools and information you need before, during, and after an earthquake to minimize impact and ensure an effective emergency response.

In this session, Brandon Parrott will introduce brand new functionality designed to bring earthquake early warning capabilities to the OasisPlus Platform. This new functionality extends your situational awareness prior to the building shake, and puts you in the best position to make better-informed decisions.

Join us for this informative webinar and Q&A session, and take advantage of the opportunity to see the merging of earthquake early warning with actionable building information.

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Dam Safety Case Studies with the KMIDam Platform

Featuring Mohamed El Idrissi, Kinemetrics, Inc.

KMIDam is a technology platform designed to manage your portfolio of dams with real-time information before, during and post-event. Leveraging a combination of smart sensing, modelling, digital twins, and real-time processing tools, KMIDam provides immediate feedback during events, and tracks changes to your structures that may lead to problems over time.

In this session, Mohamed El Idrissi will walk us through case studies on ensuring dam safety via this powerful tool. The lens of real-world scenarios eliminates hyperbole, and exposes the impact that systems actually have on critical facilities, teams, and communities. This is where KMIDam shines.

Join us for this informative webinar and Q&A session, and take advantage of the opportunity to leverage the expertise and experience of Mr. El Idrissi.

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CROSSNET Project: A New Vision for the Croatian Seismological Survey

Featuring Tomislav Fiket, Croatian Seismological Survey

The Croatian Seismological Survey faced numerous difficulties before the Zagreb and Petrinja earthquakes in 2020. The organization was understaffed, and had a meager number of stations – 17 in total – belonging to the national network. Among these, there were 8 additional strong motion stations. Additionally, the IT equipment was outdated, and the funding allocated to the survey was negligible. Under such circumstances, maintaining the national network was challenging, and upgrades to the network were impossible.

The situation began to change after the Zagreb earthquake in March 2020, but the real turning point came with the Petrinja earthquake in December of the same year. In the days following the earthquake, a donation of 20 sets of mobile stations, consisting of both broadband and strong motion instruments in each set, was received. Furthermore, the annual budget was increased, and the long-awaited opportunity to upgrade the national network of seismic stations was granted by including this project in the National Plan for Recovery and Resilience for 2021.

The CROSSNET project, an acronym for the Croatian Seismological Survey Network, is funded by EU funds and supported by the government, which covers VAT costs and other expenses. The total budget, including VAT, amounts to 13 million euros.

In this informative webinar and Q&A, special guest speaker Tomislav Fiket will explain the desired outcomes of the CROSSNET project and outline the envisioned evolution of the Croatian Seismological Survey.

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Looking Inside the Earth and Planets

Featuring Professor Hrvoje Tkalčić, Research School of Earth Sciences, The Australian National University

Eighty-six years have passed since discovering the Earth’s inner core and more than fifty years since our first journey to the Moon.

Meanwhile, global seismology has come a long way in providing insights into Earth’s internal structure and dynamics. However, progress in imaging the Earth’s inner core – a planet within the planet – has been impeded by the lack of geometric coverage of body waves from large earthquakes. Only recently, we confirmed its innermost part contains distinct seismic anisotropy. In seeking the ways forward, scientists experimented with earthquake coda correlation. This contributed to the rise of a new paradigm – the coda-correlation wavefield.

The first applications proved the inner core’s solidity by unambiguously detecting shear waves and anisotropy in shear. Then it was shown that a single seismograph and global-scale waveform cross-correlations between seismic events (inter-source correlation) could be used to scan planetary cores. This technique allowed the team involved to constrain the sizes of the cores of Earth and Mars and confirmed that the Martian core is large.

In this session, special guest speaker Professor Hrvoje Tkalčić will demonstrate how the coda-correlation studies – apart from further development and the proliferation of seismic sensors – may play a central role in global and planetary seismology in the coming decades.

In this informative webinar + Q&A, Professor Tkalčić presents a fascinating new look at these innovative methods that you won’t want to miss.

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KMI-LNG: Ensuring Operational Continuity and Safety for LNG Facilities

Featuring Mauricio Ciudad-Real, Kinemetrics Inc.

Protecting liquefied natural gas (LNG) facilities is critical to maintaining access to cleaner energy for communities around the world. Catastrophic losses result from interrupted operations at LNG facilities during earthquakes. Accurate assessment of structural impact, and informative alerts are vital ingredients to safe and efficient operation of these facilities during an emergency.

Decisions during this kind of emergency are too important to make without reliable and actionable information. Targeting response to the correct actions can be difficult, especially when time and accuracy are essential. In these situations, real-time information on potentially damaging ground motion is required to initiate the proper emergency response procedures.

In this informative webinar + Q&A, Mauricio Ciudad-Real will introduce us to how leading LNG operators monitor their facilities, understand the status of their structures, and leverage data to manage emergency response decisions more confidently before, during, and after earthquake events.

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The 99% Data Return Recipe

Featuring Dr. Mathias Franke, Kinemetrics Inc.

99% Data Return over an entire year – No Timing Issues – No Micro Gaps. These performance indicators tell the story of sound engineering, outstanding dataloggers, and enterprise-class software.

Data return is the ultimate benchmark of the success of any environmental monitoring network. Without data, operators gain no value from their investment in the system. Systems related to the observational sciences (e.g., seismic networks, etc.) rely even more heavily upon high data returns. You can’t schedule an earthquake, so if the system misses data, generates error-laced returns, or experiences downtime, entire events can be missed.

In this informative webinar + Q&A, Dr. Mathias Franke describes how to achieve the lofty target of 99% data return with pristine timing in real-world seismic systems. This presentation places particular emphasis on the practical application of specific technology based upon a proven track record of delivering unmatched data return in large mission-critical systems.

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Virtual Antelope User Group Meeting 2023

Featuring a lineup of esteemed Guest Speakers

Boulder Real Time Technologies (BRTT) and Kinemetrics are hosting a Virtual Antelope User Group Meeting.

There will be 8 presentations across the TWO-DAY EVENT, each with a question and answer period following the presentation.

Here is a look at the schedule:

DAY ONE:  VIEW ON-DEMAND VIDEO

9:00am – Kent Lindquist, BRTT

What’s New in Antelope 5.12: Challenges and Future Directions

9:40am – Alex Farrell, University of Alaska, Fairbanks

Reimagining How the Alaska Earthquake Center Authoritative Catalog is Generated – Part 1

10:20am – Dr. Mathias Franke, Kinemetrics, Inc.

Seismic Networks in the Cloud

11:00am – Alex Farrell, University of Alaska, Fairbanks

Reimagining How the Alaska Earthquake Center Authoritative Catalog is Generated – Part 2

DAY TWO:  VIEW ON-DEMAND VIDEO

9:00am – Gary Pavlis, Indiana University

Massively Parallel Analysis System for Seismology (MsPASS): a Framework for New Frontiers in Seismology Research

10:00am – Dennis Pumphry, Kinemetrics, Inc.

Q8’s Mesh Network

10:30am – Jamie Steidl, University of California Santa Barbara

Examples of how Antelope facilitates the engineering research on earthquake effects like nonlinear soil behavior and liquefaction, and on real-time monitoring and alerting for structural systems.

11:00am – Frank Vernon, University of California San Diego

Antelope Structural Health Monitoring Applications

Seismic Networks in the Cloud

Featuring Dr. Mathias Franke, Kinemetrics Inc.

Traditional earthquake data processing is carried out utilizing dedicated hardware in a data center run by the seismic network operator. Such specialized data centers must be carefully planned, and hardware resources (space, power, servers, storage, routers, etc.) are purchased in advance or constantly aggregated/modified/updated.

With the evolution of the internet as the backbone of international data exchange, multi-tenant data centers started to evolve in many fields, eventually resulting in scientific cloud computing.

Cloud computing is the on-demand delivery of computing power, database storage, applications, and other IT resources through a cloud services platform via the internet. State-of-the-art cloud data centers offer flexibility and scalability for demand-driven processes that can deliver the reliability required for critical observational science and civil protection initiatives such as seismic monitoring networks.

In this session, Dr. Mathias Franke will introduce us to the requirements, challenges, and opportunities provided by cloud-based seismic monitoring solutions such as Kinemetrics’ Aspen platform.

During this informative webinar and Q&A session, Dr. Franke will systematically and financially compares two cloud configurations: one for a small scientific network with a few data users and another for a very large national network with many stakeholders from network operators to emergency officers.

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