Artificial intelligent approaches in petroleum geosciences. (2015)

• Record Type: Book
• Further Information: Note: Constantin Cranganu, Henri Luchian, Mihaela Elena Breaban, editors.
• Editors: Cranganu, Constantin; Luchian, Henri; Breaban, Mihaela Elena
• Contents: Intelligent Data Analysis Techniques -- Machine Learning and Data Mining -- On meta-heuristics in optimization and data analysis. Application to geosciences -- Genetic Programming Techniques with Applications in the Oil and Gas Industry -- Application of Artificial Neural Networks in Geoscience and Petroleum Industry -- On Support Vector Regression to Predict Poisson's Ratio and Young's Modulus of Reservoir Rock -- Use of Active Learning Method to determine the presence and estimate the magnitude of abnormally pressured fluid zones: A case study from the Anadarko Basin, Oklahoma -- Active Learning Method for estimating missing logs in hydrocarbon reservoirs -- Improving the accuracy of Active Learning Method via noise injection for estimating hydraulic flow units: An example from a heterogeneous carbonate reservoir -- Well log analysis by global optimization-based interval inversion method -- Permeability estimation in petroleum reservoir by artificial intelligent methods: An overview.
• Publisher Details: Cham : Springer
• Publication Date: 2015
• Extent: 1 online resource (xii, 290 pages), illustrations (some color)
• Subjects: 662.60285/63; Energy; Petroleum -- Geology -- Data processing; Artificial intelligence -- Geophysical applications; TECHNOLOGY & ENGINEERING -- Chemical & Biochemical; Artificial intelligence -- Geophysical applications; Petroleum -- Geology -- Data processing; Energy; Fossil Fuels (incl. Carbon Capture); Artificial Intelligence (incl. Robotics); Geotechnical Engineering & Applied Earth Sciences; Mathematical Modeling and Industrial Mathematics; Mineral Resources; Computers -- Intelligence (AI) & Semantics; Science -- Earth Sciences -- General; Mathematics -- Applied; Science -- Earth Sciences -- Mineralogy; Artificial intelligence; Economic geology; Mathematical modelling; Mineralogy & gems; Artificial intelligence; Mineral resources; Science -- Energy; Fossil fuel technologies; Electronic books
• Languages: English
• ISBNs: 9783319165318; 3319165313; 3319165305; 9783319165301
• Related ISBNs: 9783319165301
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (SpringerLink, viewed April 24, 2015).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.