Download or read book Abstracts of Research Financed by the Petroleum Research Fund written by American Chemical Society. Petroleum Research Fund Advisory Board and published by . This book was released on 1956 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Abstracts of Research Supported by the Petroleum Research Fund written by and published by . This book was released on 1969 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reports on Research Assisted by the Petroleum Research Fund written by American Chemical Society and published by . This book was released on 1997 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reports of Research Supported by the Petroleum Research Fund written by American Chemical Society and published by . This book was released on 1976 with total page 952 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Book of Abstracts written by American Chemical Society. Meeting and published by . This book was released on 1987 with total page 1520 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Download or read book Geophysical Abstracts written by and published by . This book was released on 1964 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Petroleum Abstracts written by and published by . This book was released on 1993 with total page 968 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Download or read book Machine Learning for Subsurface Characterization written by Siddharth Misra and published by Gulf Professional Publishing. This book was released on 2019-10-12 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface. Learn from 13 practical case studies using field, laboratory, and simulation data Become knowledgeable with data science and analytics terminology relevant to subsurface characterization Learn frameworks, concepts, and methods important for the engineer’s and geoscientist’s toolbox needed to support
Download or read book Scientific Information Notes written by and published by . This book was released on 1966-10 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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