Description:

The workshop aims to provide an overview of the state-of-the-art neural computing and its applicability to reservoir applications. The workshop will combine a theoretical introduction to the concept of learning from data and AI applicability in geoscience context; typical examples of AI applications to reservoir modelling problems; and a practical hand-on exercise illustrating machine learning capability with real reservoir data. The workshop will provides a set up for a round discussion of the opportunities provided by computer based learning to tackle difficult data and uncertainty rich reservoir problems. 

The workshop participants will:

• Become familiar with machine learning concepts.
• Gain understanding of the variety of learning-based algorithms.
• Get an illustrative insights from the industry and academia of machine leaning use in reservoir applications.
• Get a hands-on in tackling different reservoir problems with machine learning methods using real field data.
• Discuss appropriate use of machine learning and its practical aspects in reservoir studies.

Workshop Programme