SLB Machine Learning Innovation Competition 2023

Each team consists of members from the same university and one person can only become a member of one team.

1. Open for Digital Player, Operators Personnel
2. Not opening submission for Service Company Employees including SLB employees

1. Participants must be residing in Malaysia
2. Each team consists of an individual or maximum 3 members.
3. All submissions shall not be published previously in professional journal/been used in other regional/international competitions.
4. Plagiarism is not tolerated, and any indication of plagiarism will be disqualified immediately.
5. Participants are responsible for and shall bear any additional costs or expenses associated with preparing and submitting the poster.
6. Participants assume all risk for damaged, lost, late, incomplete, invalid, incorrect or misdirected content.
7. Fail to obey the rules, format or late submission may receive 10% points deduction or disqualification.

1. Entry in the contest constitutes full permission to publish names and photos of winners without further compensation.
2. The determination of eligibility of entries and any interpretation of these rules is at the sole discretion of SLB and shall be final and binding upon all participants.
3. By participating, the participants agree to abide by and be bound by terms and conditions applied upon registration

• Each team must submit Machine Learning Poster Competition Entry Form.
• Must address the theme: "The Application of Machine Learning, Data Science and Artificial Intelligence in the Oil and Gas Industry".
• Electronic poster submission shall be made via by the deadline on 3rd April.
• All information presented in the poster must be cited, giving credit to the original source.
• Any topic is permissible, but poster must illustrate clear introduction, abstract, methodology, result, conclusion and necessary diagrams or supporting illustrations.
• " No trademarked/ copyrighted images or phrases should be used.

• Participants can refer to the provided poster template in the registration link as a guideline - this template is a best practice guideline, please do not limit your creativity. 
• Theme of the poster must follow SLB's branding guideline including logo and tagline.
• Ratio of poster (Microsoft PowerPoint) is 9:16
• Design and organization are all based on participants.
• Poster orientation must be in Portrait.
• Maximum number of pages are two (2).
• Content should be in English.
• Font size must be readable from a distance.
• Poster with any form of potentially offensive material or otherwise inappropriate for public display will be disqualified.
• Reference must follow Harvard Citation Format.
• Electronic submissions are made via SharePoint adhering to the following instructions:
  • Maximum file size is 100 Megabytes (MB)
  • Preferred file type is pdf
  • Team is responsible to make sure poster can be viewed for judging via the file.

Details on poster capture the key message about the topic and increase audiences's understanding

Information is organized with clear titles and subheadings.

All graphics are related to the topic and make it easier to understand.

All items of importance on the poster are clearly labeled with labels that can be read.

Exceptionally attractive in terms of design, layout and neatness.

All sources (information and graphics) have citation and accurately documented.

No grammatical or punctuation errors.

• Accurately answer all questions related to facts in the poster and processes used to create the poster.
• Stayed within the time limit and did not seem hurried or too slow.