APA (7th ed.) Citation

Martin, T., Tadla, J., & Jobe, Z. (2022). Digitalization of Legacy Datasets and Machine Learning Regression Yields Insights for Reservoir Property Prediction and Submarine-Fan Evolution: A Subsurface Example From the Lewis Shale, Wyoming. The Sedimentary record, 20(1), . https://doi.org/10.2110/001c.36638

Chicago Style (17th ed.) Citation

Martin, Thomas, Jared Tadla, and Zane Jobe. "Digitalization of Legacy Datasets and Machine Learning Regression Yields Insights for Reservoir Property Prediction and Submarine-Fan Evolution: A Subsurface Example From the Lewis Shale, Wyoming." The Sedimentary Record 20, no. 1 (2022). https://doi.org/10.2110/001c.36638.

MLA (9th ed.) Citation

Martin, Thomas, et al. "Digitalization of Legacy Datasets and Machine Learning Regression Yields Insights for Reservoir Property Prediction and Submarine-Fan Evolution: A Subsurface Example From the Lewis Shale, Wyoming." The Sedimentary Record, vol. 20, no. 1, 2022, https://doi.org/10.2110/001c.36638.