ISTI @ IAEA Safeguards Symposium in Vienna, Austria, 5-8 Nov. 2018

ISTI will be attending the Quadrennial IAEA Safeguards Symposium in Vienna, Austria, 5-8 November 2018.

Visit us at our booth.  Details to come.   

Meet our team and learn about the latest offerings. ISTI team members, Ilya Dricker, Matthias Auer, Scott Fertig, Serhiy Vasilyev, and Sid Hellman, will be available to answer your questions.

ISTI Presentations

View the ISTI poster schedule and abstract info below.

Authors
Abstract
Date
Time
Location
Matthias Auer (presenter), Scott Fertig, Sidney Hellman, Oleksii Povkh, Oleksandr Sukhotski, and Serhiy Vasilyev (ISTI) CN267-250 Interactive data visualization techniques in the statistical analysis of multi-source data 7 Nov., Wed. 11:00 – 12:30 Board Room A – Panel Session
Ilya Dricker (presenter), Paul Friberg, Scott Fertig,  Sidney Hellman (ISTI); Philippe Dales, (University of Ottawa), Mikhail Rozhkov (CTBTO) CN267-227 Comparison of Detection and Location Capabilities of Surface and Subsurface Microseismic Monitoring Algorithms for The Purposes of Monitoring Underground Storage Facilities 7 Nov., Wed. 11:00 – 12:30 Press Room – Interactive Corner

Abstracts:

Title:
Interactive Data Visualization Techniques in the Statistical Analysis of Multi-Source Data.

Authors (ISTI):
Matthias Auer (presenter), Scott Fertig, Sidney Hellman, Oleksii Povkh, Oleksandr Sukhotski, and Serhiy Vasilyev

Abstract:
Significant challenges present themselves to evaluators of bulk handling facilities under safeguards.  Evaluations require the accurate matching of inspector and operator provided data, variation across time and space of the packaging of materials within a facility, multiple strata, and sophisticated statistical tests that often need to be applied in an investigative and iterative fashion. We present a number of data visualization techniques and charts integrated into an evaluator workbench. These techniques support the iterative and multi-actor collaborative evaluation process. In addition to the use of charts as visualization tools, charts that support “drag-and-drop” grouping, and then reflect those changes back into the dataset underlying an evaluation, will be demonstrated.


Title:
Comparison of Detection and Location Capabilities of Surface and Subsurface Microseismic Monitoring Algorithms for The Purposes of Monitoring Underground Storage Facilities

Authors:
Ilya Dricker (presenter), Paul Friberg, Scott Fertig, Sidney Hellman (ISTI); Philippe Dales, (University of Ottawa), Mikhail Rozhkov (CTBTO)

Abstract:
The challenge of the surface microseismic monitoring (MSM) is that small-scale seismic activity which occurs as a result of human activities or industrial processes is often hidden in surface noise on individual seismic records. The monitoring of underground storage facilities also presents the problem that the storage facility will also act as a noise source (from active machinery and operations) which could hide any tunneling activities. MSM algorithms used for shale gas hydraulic fracture stimulation must detect and locate signals with average signal-to-noise ratio (SNR) significantly less than 1. To improve SNR MSM algorithms compute a cost function over a large set of seismic records. The maximum of such a function indicates presence, time, and location of the seismic signal. Other algorithms, such as Phase Robust Statistically Optimal and Diagonal Maximum Likelihood Adaptive algorithms offer accuracy improvements of location and detection in presence of correlated industrial noise. In this poster we use synthetic seismograms and seismic observation to compare accuracy of event locations using several algorithms of surface microseismic monitoring. We also show the use of cross correlation techniques with surface and downhole monitoring arrays to identify sources of noise and or activity in the subsurface (with examples from underground mining and carbon sequestration storage).