About
14 -17 February 2022
Houston, Texas, USA
Workshop Objective
Advances in computing technology and increased availability of data have allowed the oil & gas industry to embrace the potential of machine learning and data analytics for solving some of the most challenging problems. Research and development efforts that utilize machine learning and data analytics approaches for geoscience applications have shown promising results and have cultivated a new wave of innovations.
This workshop is designed to showcase the successes and challenges of practicing machine learning and data analytics in the geoscience domain to improve accuracy and efficiency of algorithms and/or workflows. For example, in addition to existing applications such as seismic geobody identification and well log data analysis, what other challenging geoscience problems can be formulated and solved effectively by machine learning? How can machine learning algorithms and workflows be tailored to meet the specific physical constraints of geoscience data? How can we fully exploit the power of machine learning and physics-based approaches?
Organizing Committee
- Aria Abubakar, Schlumberger
- Haibin Di, Schlumberger
- Wenyi Hu, Advanced Geophysical Technology
- Henri Houllevigue, Total
- Anisha Kaul, Sclumberger
- Weichang Li, Aramco Research Centre
- Sergio Chavez-Perez, Mexican Petroleum Institute
Workshop Venue
Schlumberger
10001 Richmond Ave,
Houston, TX 77042
Room:
Q-Auditorium
Attend & Housing
Registration Categories
Registration fee includes: All sessions, Monday evening reception, beverage breaks (during meetings)
Early Bird Registration Fee (expires 19 November 2021)
US$581 (member) | US$681 (nonmember) | US$300 (student member) | US$400 (student nonmember)
Full Registration Fee (begins 20 November 2021)
US$681 (member) | US$781 (nonmember) | US$400 (student member) | US$500 (student nonmember)
Refund/Cancellation Policy
Written notice received by 1 December 2021 (midnight CDT) entitles registrants to a full refund of the registration fee less US$50 for processing. SEG will not provide refunds, including those due to visa denial, after 1 December 2021.
Workshop Schedule
Monday, 14 February 2022
Check-in, afternoon sessions, and evening reception
Tuesday, 15 February 2022
Morning and afternoon sessions
Wednesday, 16 February 2022
Morning and afternoon sessions
Thursday, 17 February 2022
Morning sessions
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. 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 the United States of America.
Who should attend?
We invite geophysicists, petrophysicists, geologists, machine learning developers and experts, and students to submit novel technical presentations covering workshop topics of interest. We also welcome case study presentations.
Workshop Venue
Schlumberger
10001 Richmond Ave,
Houston, TX 77042
Room:
Q-Auditorium
Call for Abstracts
Call for Abstracts closes 1 September 2021
Please e-mail the abstract and the call for abstracts to [email protected]
Abstract Subjects
- Seismic interpretation
- salt body delineation; fault detection and extraction; horizon/sequence extraction and classification
- Seismic processing
- acquisition design and survey merging; time processing (e.g., noise attenuation, static correction, demultiple); multi-dimensional interpolation; wave propagation modeling; model building, migration; FWI; seismic attenuation, anisotropy, multi-component; workflow automation
- Other geophysical methods and multi-physics data integration
- electromagnetics, magnetic and gravity methods; multi-geophysics data fusion; integration with geologic data and other non-geophysics data
- Reservoir characterization
- AVO inversion; lithology recognition and prediction; facies classification, property modeling
- Wellbore
- log QC; log correlation; log interpretation processing
- Natural language processing applications
- reservoir/asset analog, raster to digital log conversion
- Advances in algorithms
- model design; training; performance analysis (complexity, accuracy, and interpretability), hyper-parameter tuning; data manipulation and augmentation strategies; one shot learning or other strategies for reducing labeled training data requirements
Abstract Format
Maximum two-page abstract including figures and referencesAbstracts should be sufficient detail for the committee to judge the quality of the paper. Abstracts should be a minimum of one page text, plus one figure (optional), with a maximum of two pages. Abstracts should be on 8.5” x 11” paper, text in Times New Roman. The title should be one or two-lines, at the top of the page, in bold Times New Roman font, size 12 point. Authors should be listed in Times New Roman italic font, size 10 point and located just below the title. All text must stay one inch clear of the margins on all sides of the page. Submissions should be in Adobe Acrobat PDF format.
Presentation
A panel discussion including Q&A will take place at the end of each session. All speakers will need to register and pay the fee to attend the workshop
Contact
Trisha Delozier
Global Events Manager
[email protected]
Note:
The mechanical recording of any portion of the SEG workshop in any form (photographic, electronic, etc.) is strictly prohibited. Printed reference to the workshop presentations or discussions is not permitted without the consent of the parties involved. All participants are requested to omit public reference to the workshop proceedings in any published work or oral presentation. Only registrants are permitted to attend workshop sessions. Each participant agrees to these regulations when application is accepted, as indicated by his or her signature on this form.