29-30 November 2018
Workshop Overview
This event is associated with PETEX.
- Attendees of PETEX will be able to attend Day One of the workshop – in the APEX Suite
- Attendees of the Machine Learning Workshop will be able to attend Day Three of PETEX
Alternatively you can “addon” a ticket when you register for PETEX.
Machine learning has been around for quite some time and the E&P industry has used various algorithms and methods for a diverse set of problems. What has changed in recent years where machine learning, artificial intelligence, digital transformations, data analytics, big data and cloud computing have become daily topics and what is the value of these?
In this workshop we want to share real-world examples from service companies, operators, software & hardware providers and academia as well as the lessons learned in delivering machine learning in the oil and gas sector and how it can make a difference in daily operations and in delivering project efficiencies and increased insights. Specialists from leading companies will come together to exchange insights on the latest developments and new technologies in machine learning.
Case studies and interactive panel discussions will enable delegates to also benchmark against industry best practices. This workshop focuses on topics and problem solutions that have a direct impact on the cost-effective application of different types of machine learning. We invite speakers that deal with all aspects of the machine learning across all fields of the oil and gas industry.
During the Call for Abstracts we would especially welcome case studies highlighting successes and failures.
Why you should attend
• Strong focus on practical solutions
• Direct access to world-class experts from academia, service providers and operators
• Online pre- and post-workshop follow-up discussions
Topics
Topics
1. Overview of Machine Learning:
1.1 Types of Machine Learning,
1.2 Deep Learning,
1.3 Artificial Intelligence
1.4 Feature Engineering2. Latest Developments and New Methods / Technologies3. Case Studies – Challenges, Successes and Failures4. Data Management, Digital Transformations and Data Analytics5. Big Data and Cloud Computing
6. Data Quality and Usability
7. Visualization
8. Other
Submission Instructions
Submission Deadline for the Technical Programme
Extended abstracts should be submitted before 13 August 2018, 23:59 hrs (GMT +2).
Anti-Plagiarism Statement
EAGE invites the presentation of new and original material in a range of multi-disciplinary topics in Geoscience and Engineering. The EAGE takes plagiarism very seriously. Therefore, if an extended abstract or paper, after careful review, examination and consideration, is rejected on the basis of plagiarism, ALL authors of the abstract/paper will be denied the opportunity for further abstract submissions for the following three years. Note that this means that NO abstracts/papers from ANY of the authors (as author or co-author on subsequent papers) will be accepted for ANY EAGE event (Annual Meeting or Workshop) for a period of three years starting on the date of the event for which the paper was originally submitted.
Publication
The accepted extended abstract is published on EarthDoc, which is an official EAGE publications, as submitted. Badly written extended abstracts not only reflect poorly on the authors, but also on the association. Many more people read the accepted extended abstracts than those attending the presentation. Therefore EAGE will only consider properly written and informative extended abstracts that are submitted in line with the template instructions.
Authors are encouraged to submit their material for publication in one of the journals of the association. Acceptance for the conference does not guarantee acceptance for publication in one of the journals.
Cancellation information
In case authors want to withdraw their abstracts please adhere to the following deadlines:
Withdrawal of abstracts before 31 October 2018: your abstract will be removed from EarthDoc.
Cancellations of presentations after 31 October 2018 may be considered as a no-show and you risk being disqualified from presenting at all EAGE events for the next 3 years.
Please note: EAGE cannot be held liable for any loss, damage, direct, indirect or consequential damage as a result of withdrawal, removal or non-removal of the abstract in any way.
Selection Process
The Selection Committee will consider all extended abstracts submitted to the EAGE Head Office by 13 August 2018 23:59 hrs (GMT +2) and authors will be notified by mid-September 2018. The technical programme selection meeting has then taken place and the technical programme with definite session titles and presentation allocation is composed.
Each extended abstract will be reviewed by at least 2 referees prior to the technical programme selection meeting. The selection process is no formality, on average 1 out of every 4 submitted extended abstracts is rejected!
The extended abstracts must be relevant to one of the Workshop Topics. Authors are strongly requested to indicate the topic under which their extended abstract should be evaluated by the referees.
Presentations
EAGE cannot make any contributions toward coverage of expenses relating to the presentation.
Layout of Extended Abstract
Titles should be short (max. 120 characters) and relevant. A summary of the extended abstract (max. 200 words) must be submitted as well. Extended abstracts must be in English, original and not have appeared in any other publication.
The body of the extended abstract needs to be one – two (1-2) full pages in length, paper size A4. Extended abstracts that are shorter than 1 full page or longer than 2 full pages will be rejected. The extended abstract should consist of text and appropriate figures supporting the key message. The text should contain at least one figure and include references. Extended abstracts of text alone are unacceptable.
Please do not use more than 1 column for text, do not frame the text, and please upload the body of your extended abstract as one document with embedded figures.
A good extended abstract set in the Workshop Template [750 KB]) consists of an introduction, the main description of theory or method broken down as appropriate and illustrated with figures, conclusions, optional acknowledgements and references. It should reflect work that is actually completed at the time of submission and not plans or ideas that are still taking shape in the mind of the author or research that is still highly immature.
The extended abstract must concentrate in itself the essential information of the presentation: purpose, methods, results and conclusions. It should be an abbreviated, informative, accurate representation of the presentation and not a mere recital of the subjects to be covered.
Template usage:
- Do not make a coverpage for your extended abstract. EAGE will make this for you with the title, authors and summary. Therefore, do not include this information in the body text of your extended abstract.
- Start the body text of your extended abstract directly under the conference logo
- Use font ‘Times New Roman 11pts’ with single line spacing. Set the alignment as justified and use the standard Word outline level (body text).
- Use 2,54 cm (1”) for top, bottom, left and right margin.
The lay-out of the references should be consistent with the style guide for references in the First Break guidance for authors. Please ensure every citation has a reference and vice versa.
Number the figures sequentially, according to their appearance in the text, and check that each figure is cited in the text.
Supply a short caption for each figure; more detailed discussion of the figure can be reserved for the text. Further information about the use of figure captions and figure numbering can be found in the First Break guidance for authors.
Example of an extended abstract [PDF:438KB], by courtesy of G.D. Wach.
Uploading your abstract
Your extended abstract will be uploaded using the online submission module. The body of the extended abstract must be uploaded using the template [750 KB].
Please note that the uploaded document is a MS Word or a PDF document. In case of a PDF document, please do not protect it.
In order to submit your extended abstract successfully, follow the steps in the Call for Extended Abstracts module. After submission, and up to the close of the Call for Abstracts (13 August 2018 23:59 hrs (GMT +2)), you will be able to edit your submission (please login to your account, then go to your Dashboard and select the extended abstract in the Submissions submenu).
To submit your extended abstract, please go here.
Sponsor Opportunities
Sponsor Opportunities
With an array of unique promotional opportunities, we can help you design the perfect programme to enhance your company’s experience at the First EAGE/PESGB Workshop on Machine Learning. The brochure includes a variety of opportunities to suit all budgets.
Why Become a Sponsor?
When you’re a corporate sponsor of the EAGE/PESGB Workshop you get high visibility in a qualitative and uncluttered environment that makes your message stand out. EAGE is synonymous with quality and proven track records in the past. The event programme offers a diverse menu that’s sure to help you reach your target audience.
Sponsoring this workshop will enable you to:
- Increase your visibility before a national, regional and International audience;
- Enhance your corporate image;
- Reach an influential, exclusive audience;
- Break through the media clutter;
- Associate your company with EAGE and PESGB.
For full details of the sponsorship opportunities available at this workshop, please contact the EAGE Europe Office via sponsoring@eage.org or download the brochure:
Sponsor Opportunities – low resolution [735kb]
Sponsor Opportunities – high resolution [10MB]
Sponsor contract [79kb]
Please note that sponsoring opportunities are flexible.
We would be delighted to explore ideas to fit your budget.
Venue Information
Venue information
Venue name:
London Olympia
Venue phone:
+44 (0)20 7385 1200