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International

Generalized sampling and gradiometry: Changing the rules of the information game

Tuesday, May 5, 2020
4 PM (Zurich)
5 PM (Zurich)

Date

Time (AWST)

Time (ACST)

Time (AEST)

6/05/2020

22:00:00

23:30:00

00:00:00

 

https://www.knowledgette.com/p/generalized-sampling-and-gradiometry-chan...

Format: Virtual Webinar. 45 min. presentation followed by 15 min. Q&A

Please note that two sessions will be given at different dates listed below.

Session 1: Monday, April 20, 2020, 4 pm to 5 pm Zurich time Register Here

Session 2: Tuesday, May 5, 2020, 4 pm to 5 pm Zurich time Register Here

Abstract:

Recording seismic data involves moving from a continuous signal to a discretized data representation. The rules governing sampling of bandlimited signals and their reconstruction were pioneered by Swedish-born mathematician Harry Nyquist who studied transmission of telegraph signals in limited bandwidth channels in the 1920s. Together with Claude Shannon among others, both at Bell laboratories, he laid the foundations of information theory. The Nyquist-Shannon sampling theorem states that a bandlimited signal can be perfectly reconstructed at arbitrary points in between samples from an infinite sequence of equidistant samples provided that there were more than two samples per minimum period when the data were sampled. The Nyquist-Shannon sampling theorem of course applies to seismic data sampled on the Earth’s surface as such data are bandlimited constrained to a cone in the frequency-wavenumber domain bounded by the minimum velocity at the recording locations. The less well-known generalized sampling theorem by Athanasios Papoulis from 1977 teaches that if different filtered versions of the original bandlimited data (filtered before sampling/decimation), the classical Nyquist-Shannon sampling criterion can be less strict. The generalized sampling theorem has direct applications for acquisition of exploration seismic data for instance resulting in considerable efficiency gains in the acquisition of surface seismic data. In addition the topic of simultaneous source acquisition can be described in a generalized sampling theorem context.

Similar to acquisition efficiency advances offered by the generalized sampling theorem, wavefield gradiometry also benefits from different data types (combinations of spatial gradients) of the underlying wavefield that are exploited to derive information that would not be available in conventional wavefield recordings (e.g., to determine whether recordings correspond to P- or S-waves, determining slowness of arrivals, etc.). Recently, an increased interest in rotational seismology is one example of wavefield gradiometry advances.

Starting with the pioneering work by Harry Nyquist, I will discuss acquisition and processing of seismic data. I will focus on recent developments building on Papoulis’ generalized sampling theorem including examples from signal-apparition-based simultaneous source acquisition as well as seismic data acquisition on the moon and on Mars where logistics is severely limited benefitting significantly from advanced multi-measurement acquisition with foundations in wavefield gradiometry.

Generalized sampling and gradiometry: Changing the rules of the information game

Monday, April 20, 2020
4 PM (Zurich)
5 PM (Zurich)

Date

Time (AWST)

Time (ACST)

Time (AEST)

21/04/2020

22:00:00

23:30:00

00:00:00

https://www.knowledgette.com/p/generalized-sampling-and-gradiometry-chan...

Format: Virtual Webinar. 45 min. presentation followed by 15 min. Q&A

Please note that two sessions will be given at different dates listed below.

Session 1: Monday, April 20, 2020, 4 pm to 5 pm Zurich time Register Here

Session 2: Tuesday, May 5, 2020, 4 pm to 5 pm Zurich time Register Here

Abstract:

Recording seismic data involves moving from a continuous signal to a discretized data representation. The rules governing sampling of bandlimited signals and their reconstruction were pioneered by Swedish-born mathematician Harry Nyquist who studied transmission of telegraph signals in limited bandwidth channels in the 1920s. Together with Claude Shannon among others, both at Bell laboratories, he laid the foundations of information theory. The Nyquist-Shannon sampling theorem states that a bandlimited signal can be perfectly reconstructed at arbitrary points in between samples from an infinite sequence of equidistant samples provided that there were more than two samples per minimum period when the data were sampled. The Nyquist-Shannon sampling theorem of course applies to seismic data sampled on the Earth’s surface as such data are bandlimited constrained to a cone in the frequency-wavenumber domain bounded by the minimum velocity at the recording locations. The less well-known generalized sampling theorem by Athanasios Papoulis from 1977 teaches that if different filtered versions of the original bandlimited data (filtered before sampling/decimation), the classical Nyquist-Shannon sampling criterion can be less strict. The generalized sampling theorem has direct applications for acquisition of exploration seismic data for instance resulting in considerable efficiency gains in the acquisition of surface seismic data. In addition the topic of simultaneous source acquisition can be described in a generalized sampling theorem context.

Similar to acquisition efficiency advances offered by the generalized sampling theorem, wavefield gradiometry also benefits from different data types (combinations of spatial gradients) of the underlying wavefield that are exploited to derive information that would not be available in conventional wavefield recordings (e.g., to determine whether recordings correspond to P- or S-waves, determining slowness of arrivals, etc.). Recently, an increased interest in rotational seismology is one example of wavefield gradiometry advances.

Starting with the pioneering work by Harry Nyquist, I will discuss acquisition and processing of seismic data. I will focus on recent developments building on Papoulis’ generalized sampling theorem including examples from signal-apparition-based simultaneous source acquisition as well as seismic data acquisition on the moon and on Mars where logistics is severely limited benefitting significantly from advanced multi-measurement acquisition with foundations in wavefield gradiometry.

Deep learning for seismic interpretation

Thursday, April 16, 2020
0900 (India)
1000 (India)

https://www.knowledgette.com/p/deep-learning-for-seismic-interpretation

 

Format: Virtual Webinar. 45 min. presentation followed by 15 min. Q&A

Please note that two sessions will be given at different dates listed below.

Session 1, Tuesday, April 14, 2020, 10 am to 11 am Beijing time Register Here

Session 2, Thursday, April 16, 2020, 9 am to 10 am IST time (India) Register Here

 

Abstract:

Seismic interpretation involves detecting and extracting structural information, stratigraphic features, and geobodies from seismic images. Although numerous automatic methods have been proposed, seismic interpretation today remains a highly time-consuming task which still requires significant human efforts. The conventional seismic interpretation methods or workflows are not automated or intelligent enough to efficiently or accurately interpret the rapidly increasing seismic data sets, which leaves significantly more data uninterpreted than interpreted.

We improve automatic seismic interpretation by using CNNs (convolutional neural networks) which recently have shown the best performance in detecting and extracting useful image features and objects. One main limitation of applying CNNs in seismic interpretation is the preparation of many training data sets and especially the corresponding geologic labels. Manually labeling geologic features in a seismic image is highly time-consuming and subjective, which often results in incompletely or inaccurately labeled training images. To solve this problem, we propose a workflow to automatically build diverse geologic models with geologically realistic features. Based on these models with known geologic information, we further automatically create numerous synthetic seismic images and the corresponding ground truth of geologic labels to train CNNs for geologic interpretation in field seismic images. Accurate interpretation results in multiple field seismic images show that the proposed workflow simulates realistic and generalized geologic models from which the CNNs effectively learn to recognize real geologic features in field images.

In this lecture, I would like the share you with our research experience on the following topics:

Automatic preparation of training data sets and labels;

CNN for fault detection, fault orientation estimation, and fault surface construction;

CNN for relative geologic time and seismic horizons;

CNN for seismic geobody tracking;

CNN-based multitask learning in seismic interpretation.

Deep learning for seismic interpretation

Tuesday, April 14, 2020
10 AM (Beijing)
11 AM (Beijing)

https://www.knowledgette.com/p/deep-learning-for-seismic-interpretation

 

Format: Virtual Webinar. 45 min. presentation followed by 15 min. Q&A

Please note that two sessions will be given at different dates listed below.

Session 1, Tuesday, April 14, 2020, 10 am to 11 am Beijing time Register Here

Session 2, Thursday, April 16, 2020, 9 am to 10 am IST time (India) Register Here

 

Abstract:

Seismic interpretation involves detecting and extracting structural information, stratigraphic features, and geobodies from seismic images. Although numerous automatic methods have been proposed, seismic interpretation today remains a highly time-consuming task which still requires significant human efforts. The conventional seismic interpretation methods or workflows are not automated or intelligent enough to efficiently or accurately interpret the rapidly increasing seismic data sets, which leaves significantly more data uninterpreted than interpreted.

We improve automatic seismic interpretation by using CNNs (convolutional neural networks) which recently have shown the best performance in detecting and extracting useful image features and objects. One main limitation of applying CNNs in seismic interpretation is the preparation of many training data sets and especially the corresponding geologic labels. Manually labeling geologic features in a seismic image is highly time-consuming and subjective, which often results in incompletely or inaccurately labeled training images. To solve this problem, we propose a workflow to automatically build diverse geologic models with geologically realistic features. Based on these models with known geologic information, we further automatically create numerous synthetic seismic images and the corresponding ground truth of geologic labels to train CNNs for geologic interpretation in field seismic images. Accurate interpretation results in multiple field seismic images show that the proposed workflow simulates realistic and generalized geologic models from which the CNNs effectively learn to recognize real geologic features in field images.

In this lecture, I would like the share you with our research experience on the following topics:

Automatic preparation of training data sets and labels;

CNN for fault detection, fault orientation estimation, and fault surface construction;

CNN for relative geologic time and seismic horizons;

CNN for seismic geobody tracking;

CNN-based multitask learning in seismic interpretation.

Advances in Marine Seismic Data Acquisition Workshop

Wednesday, December 2, 2020
0800
1900

2-day workshop on 2 - 3 December 2020.

The workshop will bring together all aspects of marine seismic acquisition, highlighting advances in technologies and methodologies. It will focus on the science of data acquisition covering a broad range of topics, from advances in survey design to developments in seismic source, streamer and Ocean Bottom Seismic technology and its configurations, in order to address both exploration and development objectives. Workshop attendees will have a valuable opportunity to discuss among experts the future vision in domains such as machine learning, artificial intelligence and robotization.

GEM 2019 Xi'an: International Workshop on Gravity, Electrical, & Magnetic Methods and Their Applications

Sunday, May 19, 2019
08:30
17:30

The Society of Exploration Geophysicists and the Chinese Geophysical Society will jointly organize:

GEM 2019 Xi'an: International Workshop on Gravity, Electrical, & Magnetic Methods and Their Applications

May 19-22, 2019

Xi'an, China

The Workshop will be held at Chang’an University, located in the heart of the ancient city of Xi’an. Here is the Workshop homepage:

https://seg.org/Events/Events-Calendar/GEM-2019-Xian

It contains updated and new information. When you prepare your abstract, please follow carefully the instructions under section “Call for Abstracts”.

Abstract submissions to “GEM 2019 Xi’an” will open on 1 October 2018 and close on 30 November 2018. All abstracts need to be submitted by email to: gem-abstracts@seg.org. We sincerely invite you, your co-workers, and your friends to submit abstracts.

Science and Technology Australia: Professional Scientist Remuneration Survey

Sunday, June 24, 2018
17:00
17:00

The 2018 Professional Scientist Remuneration Survey (conducted by Professionals Australia in conjunction with Science & Technology Australia) is currently underway and open to all science professionals.

Please take a few minutes to assist the scientific community by completing the questionnaire. All survey participants have the opportunity to enter the survey competition to win one of two $500 JB-HiFi vouchers. To enter, complete the entry form available once you complete the survey.

The answers will be aggregated to compile a major report on prevailing market rates and workplace conditions for employees in positions requiring qualifications in a branch of science.

A summary of the survey results will be available on the Professionals Australia website later in the year.

The closing date for the submission of completed survey questionnaires is the 24th of June, 2018. No identifying details are required. All responses are confidential and will be handled in accordance with Professionals Australia's privacy policy.

The survey can be completed here.

5th international Workshop on Induced Polarization

Wednesday, October 3, 2018
08:00
17:00

5th International Workshop on Induced Polarization, October 3-5, Newark, NJ, USA

Invited speakers for the 5th International Workshop on Induced Polarization are now confirmed. Five experts in different aspects of induced polarization will give overview talks that will be followed by poster sessions. The invited speakers/sessions are 

  1. Matthias Halisch [Leibniz Institute of Applied Geophysics, Germany] - Petrophysics;
  2. Sarah Glaven [Naval Research Laboratory, USA] - Biogeophysical studies;
  3. Matthias Bücker [Universität Bonn, Germany] - Modeling;
  4. Torleif Dahlin [Lund University, Sweden] - Field applications; 
  5. Douglas Oldenburg [University of British Columbia, Canada] - Data processing and inversion. 

The abstract submission deadline for the 5th International Workshop on Induced Polarization is July 1.

Registration will open no later than July 15 with an early-bird deadline of September 1.

Short (250 word) abstract submissions are invited in the following areas of Induced Polarization research:

  1. Petrophysics
  2. Biogeophysical studies
  3. Modeling
  4. Field applications
  5. Instrumentation
  6. Data processing and inversion

Submission of a short 250 word abstract by the deadline is required to secure a presentation at this workshop.

The workshop will take place from October 3-5, 2018 at Rutgers University Newark, located approximately 10 miles outside of New York City. The workshop will include invited keynote talks on each of the above areas, poster sessions and round-table discussions. Industry sponsors will showcase their most recent IP-related products. Due to the generosity of our sponsors, we expect to offer a low registration fee of approximately $200 [$150 for students]. The registration fee will include a conference dinner, a dinner/river cruise around Manhattan, lunches, an ice-breaker and a happy hour. Two local hotels will provide discounted rates from $109-$169 per room per night (details to be announced shortly).

 

More information here.

13th SEGJ Symposium

Monday, November 12, 2018
08:00
18:00

The SEGJ advises of their 13th SEGJ International Symposium being held from 12 to 14 November, 2018 in Tokyo.

The theme of the 13th symposium encompasses the role of applied geophysics in the sustainable development of human societies. All interested scientists and engineers are invited to join a diverse group of specialists for stimulating discussions in face-to-face meetings. They welcome the contribution of younger colleagues.

Travel Support Program to Young Researchers

The organization committee would like to encourage young researchers coming from overseas to participate in this symposium. A young researchers' paper competition will be  conducted in advance to the due date of the extended abstract submission, and the winners will be granted a small amount of travel support. Participants whose ages are under or equal to 35 may submit an application to this support program at the time of their abstract submissions. The number of winners and the amount of support will be due to financial
conditions. The detailed procedure for this competition will be announced later.

Technical sessions
1. Acquisition and Sensor Technologies
2. Seismic Technologies
3. GPR Technologies
4. DC / EM / NMR Technologies
5. Geodetic Technologies
6. Gravity / Magnetics
7. Borehole Geophysics
8. Passive Seismic / Microseismic
9. Monitoring Technologies
10. Rock Physics / Interpretation (Case studies)
11. Near Surface Geophysics
12. Safely/Sustainability/Environmental Applications
13. Disaster Mitigation Application
SS 1. Geophysical application of Data science
SS 2. Unmanned and Airborne Geophysical Survey
SS 3. Geophysical challenges in the Middle-East area

SEGJ 13th Symposium in Tokyo 2018

Takeshi Sato <sato.takeshi.0917@gmail.com>

Mon 26/03/2018 11:40

To:

ASEG Secretariate <secretary@aseg.org.au>;

communications@aseg.org.au;

ASEG Webmaster <webmaster@aseg.org.au>;

Hi,
 

I have a reminder for those interested in submitting an abstract for the SEGJ symposium in November 2018. Abstract submission deadline extended until 30 April 2018! Please also see flyer attached to this email.

Web link
 

Important Dates

Deadline for Abstract submission: 30 April 2018
Call for Extended Abstracts open: 31 May 2018
Deadline for Extended Abstract submission: 30 June 2018
Registration open: 1 June 2018
Deadline for Pre-registration: 10 September 2018
13th SEGJ International Symposium
On-site registration: 12 - 14 November 2018

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