Webinar Schedule

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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Improving Operations and Dam Safety 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 provide an overview of the KMIDam platform through the lens of real-world scenarios, including multi-dam and extreme condition implementations.

During this informative webinar and Q&A session, Mr. El Idrissi will discuss how KMIDam enables improved operation and safety by enabling operators to assess the condition of each structure, understand the immediate impact of events, and track changes that happen to structures over time.

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Quantix Q8 Storage and Telemetry

Featuring Dennis Pumphrey, Kinemetrics Inc.

The Qantix Q8 represents the pinnacle of Quanterra’s 30+ years’ undisputed leadership in designing the most advanced ultra-high performance data acquisition systems in our marketplace. Designed to support updating of existing Q330-based global and regional networks, the Q8 offers the same reliability, extraordinary temperature stability and data redundancy together with new advanced features.

In this session, returning speaker Dennis Pumphrey will educate us on the many storage and telemetry options provided by the Q8. He will discuss four different storage devices and Advanced Archival methods. In addition, several telemetry topics, including Hybrid mode, ORB server, SEEDLink, and QSCD will be detailed.

Dennis may even give us some insight on an important upcoming enhancement that you won’t want to miss!

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Continued Post-Earthquake Safe Operations at LNG Plants

Featuring Mauricio Ciudad-Real, Kinemetrics Inc.

With the international focus on the growing importance of liquefied natural gas as a cleaner energy source, it is imperative that organizations understand how to quickly implement and maintain the required level of operational safety. Safety requirements do not encompass only the actions taken during an emergency event; they represent a continual responsibility to ensure that the LNG plant and personnel maintain safe operations.

In this webinar, Mauricio Ciudad-Real will introduce KMI-LNG, a technology platform designed to meet the specific needs of the energy industry. KMI-LNG delivers real-time earthquake data recording, automatic analysis, notifications, and reports along with state-of-health hardware monitoring via a single platform.

By removing the guesswork for operators and emergency response personnel, KMI-LNG quickly responds when the earthquake occurs providing the information and tools required by plant operators to make the most informed decisions possible.

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What’s New in Antelope 5.12

Featuring Dr. Kent Lindquist, Boulder Real Time Technologies (BRTT)

The Antelope Environmental Monitoring Software sets the standard for data acquisition, analysis, and management software. Designed to provide a comprehensive set of real-time environmental monitoring data and processed information, Antelope is leveraged by the 10 largest seismic networks in the world (outside of Japan) to ensure the highest level of data return and robustness.

In this presentation and live Q&A, Dr. Kent Lindquist will discuss the new challenges addressed and important advances in the recently released version 5.12 of the Antelope Environmental Monitoring System.

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Earthquake Resilience in Hospitals: OasisPlus Case Studies 

Featuring Dr. Derek Skolnik, Kinemetrics

When an earthquake strikes, the focus of concern quickly turns to critical infrastructure and services. Chief among these is access to healthcare facilities and the services they provide. It’s imperative that these regional hubs remain in operation as the community’s need for hospitals increases during and after a seismic event.

In this informative webinar + Q&A, Dr. Derek Skolnik will review how two hospitals in areas with high seismic activity have implemented the use of real-time earthquake response systems and procedures. He will outline how these organizations have built resilience into each aspect of their respective implementations to ensure access to critical decision-making information before, during, and after an event. Suggestions on how similar critical organizations can learn from these implementations will also be provided.

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Non-Invasive Subsurface Site Characterization for Seismic Ground Response Analyses

Featuring Dr. Brady Cox, Utah State University

The importance of accurately predicting site effects for engineering infrastructure projects in seismically active regions cannot be overstated.

Numerical earthquake wave propagation simulations, known as ground response analyses (GRAs), are commonly performed in an attempt to estimate the site-specific, frequency-dependent amplification of seismic waves (i.e., site effects) as they travel from a reference bedrock condition up through soil layers to the ground surface.

One-, two-, and three-dimensional (1D, 2D, and 3D) GRAs have been developed. However, recent studies have revealed that recorded ground motions at more than 50% of borehole array sites are modeled using 1D GRAs. While 3D GRAs are theoretically plausible, they remain largely inaccessible due to a lack of adequate and affordable site characterization methods that can be used to develop 3D subsurface shear wave velocity (Vs) models down to depths required for ground response studies.

In this presentation, Dr. Brady Cox will detail several seismic site characterization methods usable in developing subsurface models for use in 1D, 2D and 3D GRAs. Dr. Cox will discuss methods such as horizontal-to-vertical spectral ratios (HVSR or H/V) of ambient noise, multi-channel analysis of surface waves and microtremor array measurement.

Additionally, a new geostatistical approach that can be used for building large pseudo-3D Vs models as a means to rationally account for spatial variability in GRAs will be presented. Each of these methods will be discussed from the perspective of case history applications, including comparisons between recorded and GRA-predicted ground motions at several borehole array sites.

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