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)

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

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