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Session: Digital Solutions for Wind Farms

Date and time: 22 March, 14:30 – 15:30

Location: Main Stage

Use the links below to evaluate the talks:

1. Using machine learning property modeling with assisted forward stratigraphic modeling for offshore wind farm site characterization presented by A. Ahmad
Authors: A. Ahmad1, K. Eder1, S. Courtade1 (1 SLB)
2. An integrated workflow for windfarm site characterization by deep learning presented by H. Di
Authors: H. Di1, A. Abubakar1 (1 SLB)
3. AWS solutions for new energy wind solar farm management presented by N. Ma
Authors: N. Ma1 (1 AWS)
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Speakers share their expertise and insight during the EAGE Digital 2023 programme. Would you help them by answering a few questions about their talks? Best evaluated talks can receive an increased exposure and recognition through the below:

  • be invited to submit a paper for one of EAGE’s journals
  • be invited to participate in the Distinguished Lecturer programme
  • be invited to record an a-lecture
  • be part of a ‘Best of’ exchange with another event or association
  • be invited to become EAGE’s instructor

Our members, volunteers, and sponsors are the fuel that power this organisation. We can use Questionpro’s free survey templates to constantly keep in touch with them, understand their expectations and work towards their satisfaction with this simple yet robust tool.

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