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Dario Grana’s research is looking at the way we assess energy reservoirs more efficient and safe. The Assistant Professor of Geology and Geophysics and Petroleum Engineering is focusing on petrophysical modeling and characterization of hydrocarbon reservoirs using geophysical methods such as seismic data.
. Such models are used to estimate the hydrocarbon reserves in the subsurface to predict the potential production from a field. It also helps assess the risks associated with exploration for hydrocarbons. . Grana’s work has led to successful collaborations with oil companies in the US and Europe. Just another way of how researchers at UW are having a big impact on the world. #uwyo

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Medical diagnosis is one field most immediately, and perhaps unpredictably, threatened by machine learning. Radiologists are extensively trained and extremely well paid, and we think of their skill as one of professional insight — the highest register of thought. In the past year alone, researchers have shown not only that neural networks can find tumors in medical images much earlier than their human counterparts but also that machines can even make such diagnoses from the texts of pathology reports. What radiologists do turns out to be something much closer to predictive pattern-matching than logical analysis. They’re not telling you what caused the cancer; they’re just telling you it’s there.
~ Gideon Lewis-Kraus

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