5-7 November 2019
Following the successful first and second International Workshops on Mathematical Geophysics in 2015 and 2017, the 3rd edition will take place in November 2019 in Beijing, China. The central theme is traditional vs. learning methods to solve geophysical problems associated with data processing, inversion, and interpretation.
Over the last few decades, mathematical techniques inspired by the fields of harmonic analysis, dimensionality reduction, and dictionary learning led to significant advancements in seismic data processing and imaging. More recently we witnessed considerable progress in machine learning and its successful applications to different fields. This workshop will be a forum to discuss how traditional methods and machine learning techniques can help solve geophysical problems in the areas of geophysical data processing, inversion, and interpretation.
The workshop includes discussions on algorithms and studies that address both theoretical and operational challenges in geophysical exploration. We encourage experts from the fields of geophysics, computer sciences, and applied mathematics to participate in this event to exchange ideas and develop new visions together.
Society of Exploration Geophysicists (SEG)
Peking University, School of Earth and Space Sciences
Tuesday, 5 November 2019
Wednesday, 6 November 2019
Opening Ceremony and Technical Sessions
Thursday, 7 November 2019
Technical Ceremony and Closing Ceremony
Early Bird Registration Fee
Expires after 15 October 2019
US$515 (SEG Nonmembers) | US$456 (SEG Members)
US$294 (SEG Student Nonmembers) | US$265 (SEG Student Members)
Full Registration Fee
Begins 16 October 2019
US$559 (SEG Nonmembers) | US$500 (SEG Members)
US$353 (SEG Student Nonmembers) | US$324 (SEG Student Members)
Peking University Zhong Guan Xin Yuan
126 Zhong Guan Cun North Street, Haidian District, Beijing, China
Rooms have been reserved at a discounted rate.
Building#1-Business Double Room
RMB598yuan per night/room
Building#9-Standard Single Room
RMB428yuan per night/room
(Breakfast is included).
Contact the SEG China office to book your hotel room:
Ms. Fan, Marketing and Event Manager, SEG China Office
Tel: +86 10 5820 5048-802
Email: [email protected]
Cancellations must be received via email to [email protected] before 5 October 2019 for a refund, minus the US$50.00 service fee. No refunds will be processed after this date.
Visa Information/Invitation Letter
Participants in the workshop may generate an official invitation letter from SEG. This form will generate a letter that you can print and use if required. For visa requirements for entering China, contact the China embassy nearest you. Please note that SEG does not guarantee that you will be granted a visa, nor does it commit SEG to pay any expenses you may incur. It is the sole responsibility of the attendee to obtain the necessary paperwork for entry to China.
Call for Abstracts
Please submit your paper to [email protected]
Abstract submission opens 4 March 2019.
Abstract submission closes 4 July 2019 (11:59 PM US Central Daylight Time).
The workshop will focus on the following topics:
- Machine learning
- Seismic data acquisition
- Seismic data processing
- Modeling, migration, and inversion
- Multi-component seismic data
- Seismic interpretation
- Reservoir characterization
- Fracturing & seismic monitoring
- Mathematical algorithms and applications in geophysics
- Other applications of artificial intelligence in geophysics
- Near-surface Geophysics (High-speed rail seismology)
- Sergey Fomel, University of Texas at Austin, USA
- Jianwei Ma, Harbin Institute of Technology, China
- Mauricio Sacchi, University of Alberta, Canada
- Ru-Shan Wu, University of California, Santa Cruz, USA
- Jieyuan Ning, Peking University
- Lizhi Xiao, China University of Petroleum (Beijing)
Technical Committee Member
Youming Li, Institute of Geology and Geophysics, Chinese Academy of Sciences
To maximize exposure and visibility for our partners, we offer an array of unique sponsorship opportunities designed to suit a range of budgets with target specific audiences for optimum return on investment. Email [email protected] for more information on becoming a sponsor.