Join us at the GeoConvention 2018

Date

Join us at the GeoConvention 2018! Booth 512

Come and learn about our range of custom solutions to meet your monitoring objectives at booth # 512

Our team is growing! 

We are excited to announce two new additions to the Nanometrics Seismic Monitoring Services team, Fabian van der Werth and Manuel Aboud. Manuel will be attending GeoConvention so please stop by our booth to say hi.

 

Manuel Aboud

Manuel Aboud recently joined Nanometrics as the Senior Manager of Operations, a newly created role developed to meet the growing demand for Nanometrics’ monitoring services. As the Senior Manager of Operations, Manuel is overseeing the management of Network and Field Operations teams as well as all non-geophysics aspects of our service product portfolio. Manuel has 15 years of experience in the upstream Oil & Gas industry, with a focus on field operations, service quality and petrophysics. Manuel obtained his bachelor's degree in Petroleum Engineering from Texas A&M University.

 

Fabian van der Werth

Fabian van der Werth is the latest member of our Sales Team based out of Houston, TX. As a Senior Sales Manager, Fabian will be focusing on private and subscription seismicity monitoring arrays as well as applications in frac-imaging and risk mitigation solutions. Fabian brings a wealth of industry experience to the role having worked in both field engineering and corporate sales capacities with Fugro, Schlumberger and BMT Group. Fabian has a graduate degree in Physical Oceanography with a minor in Geophysics from the Buenos Aires Institute of Technology.

 

Oral presentations Abstracts

Improving microseismic data quality with noise attenuation techniques

Kit Chambers, Aaron Booterbaugh

Tuesday, May 8

8:35am - 9am

Microseismic I

Room: Glen 206

 

Microseismic data always contains noise and its effect is to reduce the quality and content of the microseismic catalog. As such noise attenuation techniques should be of paramount importance when designing microseismic processing flows. However, this is often not the case and all too often noise attenuation methods are either not applied or only examined through artificial synthetic tests. The purpose of this paper is to describe two very simple noise attenuation methods which can be applied to sparse surface microseismic surveys. Rather than focusing on properties of the methods themselves, here we assess their impact on the SNR of arrivals from real microseismic events and the resulting catalog enhancements gained. The results show that higher quality catalogs can be obtained by applying relatively simple procedures prior to STA/LTA trigger detection and that classical assumptions regarding the expected gains based on the uncorrelated nature of noise may not be valid.

 

Integrating Machine Learning into Real-Time Processing of Earthquakes

Andrew Reynen, Kit Chambers, Sepideh Karimi, Dario Baturan

Wednesday, May 9

8:35am - 9am

Induced Seismicity – Detection, Processing and Characterization

Room: Glen 206

 

The accuracy of real time event locations are often negatively affected by the misclassification of the phase type and/or introduction of noise picks. Here a machine learning technique is used to discriminate between different types of phase arrivals and noise on results of a real time earthquake processing system. Events with reclassified arrivals are then reported in near real time. Inputs to the regression contain the spectral content as well as downsampled characteristic functions ( CFs ). Preliminary results show a significant reduction in the distance between automatic solutions and their corresponding manually reviewed counterparts.

Nanometrics’ Sepideh Karimi will be co-chairing a session on:

Induced Seismicity - Modeling and Case Studies

Tuesday, May 8

Room: Telus 111