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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April 5 @ 9AM (Pacific)

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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October 26 @ 9AM (Pacific)

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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August 31 @ 9AM (Pacific)

What’s New in Antelope 5.12

Featuring Dr. Kent Lindquist, Boulder Real Time Technologies

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.

June 29 @ 9AM (Pacific)

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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.

April 27 @ 9AM (Pacific)

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