{"product_id":"machine-learning-for-subsurface-characterization-9780128177365","title":"Machine Learning for Subsurface Characterization","description":"\u003cp\u003e • Author(s): Siddharth Misra\u003cbr\u003e • Publisher: Gulf Professional Publishing\u003cbr\u003e • Publisher Imprint: Gulf Professional Publishing\u003cbr\u003e • BISAC: Energy\u003c\/p\u003e\u003cp\u003e\u003ci\u003eMachine Learning for Subsurface Characterization\u003c\/i\u003e 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.\u003c\/p\u003e","brand":"Gulf Professional Publishing","offers":[{"title":"Paperback","offer_id":45310085595287,"sku":"9780128177365","price":8069.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780128177365.webp?v=1769286985","url":"https:\/\/atlanticbooks.com\/products\/machine-learning-for-subsurface-characterization-9780128177365","provider":"Atlantic Books","version":"1.0","type":"link"}