SPE Luncheon and Webinar: How is AI Enhancing Petrophysical & Geophysical Workflows?

Time & Location

December 14, 2021
Norris Conference Center – Houston/Westchase

About the event

Hear from Bluware’s Julian Chenin, Geophysical Data Scientist, who will present at the upcoming SPE In-Person Luncheon/Webinar Event: How is AI Enhancing the Petrophysical and Geophysical Workflows?

Integrating Interactive Deep Learning for Complex Geological Features

Detailed interpretation of stratigraphic and structural features within high-resolution, 3D seismic data is a tedious and time-consuming process. However, recent deep learning methodologies utilizing neural networks are revolutionizing traditional seismic interpretation tasks by accelerating the speed at which geologic features can be mapped. We introduce a novel, interactive deep learning methodology which enables the interpreter to exert more control over network predictions in real-time.

Results using this interactive approach can be obtained in a fraction of the time compared to traditional interpretation workflows while also enabling geoscientists to better characterize complex petroleum systems. Interactive deep learning, as an interpretation tool, has the potential to optimize day-to-day exploration and production operations and improve interpretations while helping to reduce human error. We will explore this interactive workflow and the results within the complex Santos Basin, offshore Brazil.

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