Data & Analytics

On long-term trends, most things in the world are getting better, but gradual improvements don't make the news.
Subsurface modeling and history matching are critical steps for driving decisions. Generative artificial intelligence can support these efforts by incorporating various sources of information and allowing for low-dimensional parameterization for history matching.
TWA editors met with Satyam Priyadarshy, a technology fellow and chief data scientist at Halliburton, about how young professionals can prepare themselves for the application of data science in their work and how to approach problems and challenges.
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