This $381,428 federal Project Grant award, made by the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076), supports a research project at Southern University Shreveport, a Historically Black College and University (HBCU) and 1890 Land Grant institution. The project aims to utilize advancements in data science and machine learning to enhance the understanding of overpressure in sedimentary basins, with the goal of minimizing risks of uncontrolled fluid flow in oil and gas wells. The research will investigate the signatures of overpressure in well log and drilling data across various geologic settings, and incorporate these insights into machine learning models to improve reservoir characterization. This project will provide opportunities for undergraduate students at Southern University Shreveport to engage in interdisciplinary scientific research at the intersection of geoscience and data science. The award period runs from August 2024 to July 2026.
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