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[null,"1.","Record Nr.",null,"UNINA9910463083303321"]
[null,null,"Autore",null,"Mohaghegh Shahab D"]
[null,null,"Titolo",null,"Artificial intelligence & data mining applications in the E&P industry [[electronic resource] /] / Shahab D. Mohaghegh, Saud M. Al-Fattah, Andrei S. Popa"]
[null,null,"Pubbl/distr/stampa",null,"Richardson, TX, : Society of Petroleum Engineers, c2011"]
[null,null,"ISBN",null,"1-61399-064-2"]
[null,null,"Descrizione fisica",null,"1 online resource (271 p.)"]
[null,null,"Collana",null,"Getting up to speed"]
[null,null,"Soggetti",null,"Petroleum engineering"]
[{"$nulls":4},"Neural networks (Computer science)"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"\"\"Foreword\"\"; \"\"Contents\"\"; \"\"Virtual-Intelligence Applications in Petroleum Engineering: Part 1â€?Artificial Neural Networks\"\"; \"\"Virtual-Intelligence Applications in Petroleum Engineering: Part 2â€?Evolutionary Computing\"\"; \"\"Virtual-Intelligence Applications in Petroleum Engineering: Part 3â€?Fuzzy Logic\"\"; \"\"Using Artificial Neural Nets To Identify the Well-Test Interpretation Model\"\"; \"\"Discriminant Analysis and Neural Nets: Valuable Tools To Optimize Completion Practices\"\"; \"\"An Investigation Into the Application of Fuzzy Logic to Well Stimulation Treatment Design\"\""]
[{"$nulls":4},"\"\"Predicting Production Using a Neural Network (Artificial Intelligence Beats Human Intelligence)\"\"\"\"Application of Neural Networks to Modeling Fluid Contacts in Prudhoe Bay\"\"; \"\"Predicting Well-Stimulation Results in a Gas-Storage Field in the Absence of Reservoir Data With Neural Networks\"\"; \"\"Candidate Selection for Stimulation of Gas Storage Wells Using Available Data With Neural Networks and Genetic Algorithms\"\"; \"\"Neural Network Model for Estimating the PVT Properties of Middle East Crude Oils\"\"; \"\"Intelligent Systems Can Design Optimum Fracturing Jobs\"\""]
[{"$nulls":4},"\"\"Neural-Network Approach To Predict Well Performance Using Available Field Data\"\"\"\"Neural Network Approach Predicts U.S. Natural Gas Production\"\"; \"\"Integration of Multiphase Flowmetering, Neural Networks, and Fuzzy Logic in Field Performance Monitoring\"\"; \"\"Recent "]
[{"$nulls":4},"Developments in Application of Artificial Intelligence in Petroleum Engineering\"\"; \"\"Zonal Allocation and Increased Production Opportunities Using Data Mining in Kern River\"\"; \"\"Self-Organizing Maps for Lithofacies Identification and Permeability Prediction\"\"; \"\"Optimizing Cyclic Steam Oil Production with Genetic Algorithms\"\""]
[{"$nulls":4},"\"\"Analysis of Best Hydraulic Fracturing Practices in the Golden Trend Fields of Oklahoma\"\"\"\"Application of Artificial Intelligence in Gas Storage Management\"\"; \"\"Using Neural Networks for Candidate Selection and Well Performance Prediction in Water-Shutoff Treatments Using Polymer Gelsâ€?A Field-Case Study\"\"; \"\"The Development of an Artificial Neural Network as a Pressure Transient Analysis Tool for Applications in Double-Porosity Reservoirs\"\"; \"\"Flow Pattern and Frictional-Pressure-Loss Estimation Using Neural Networks for UBD Operations\"\""]
[{"$nulls":4},"\"\"Uncertainty Analysis of a Giant Oil Field in the Middle East Using Surrogate Reservoir Model\"\"\"\"Artificial-Intelligence Technology Predicts Relative Permeability of Giant Carbonate Reservoirs\"\"; \"\"Case-Based Reasoning Approach for Well Failure Diagnostics and Planning\"\"; \"\"Top-Down Intelligent Reservoir Modeling (TDIRM)\"\"; \"\"New Insight into Integrated Reservoir Management using Top-Down, Intelligent Reservoir Modeling Technique;  Application to a Giant and Complex Oil Field in the Middle East\"\""]
[null,"2.","Record Nr.",null,"UNINA9910690296203321"]
[null,null,"Titolo",null,"Foreign science and technology information sources in the federal government and select private sector organizations / / sponsored by the Department of Commerce, International Technology Policy, Technology Administration, and the Department of State, Bureau of Oceans and International Environmental and Scientific Affairs, Office of Science Technology and Health, Technological Competitiveness Division"]
[null,null,"Pubbl/distr/stampa",null,"Washington, DC : , : U.S. Dept. of Commerce, Office of Technology Policy, , [1996]"]
[null,null,"Descrizione fisica",null,"xii, 228, xiv pages ; ; 28 cm"]
[null,null,"Soggetti",null,"Technology - Information services"]
[{"$nulls":4},"Science - Information services"]
[{"$nulls":4},"Information services - United States"]
[{"$nulls":4},"Government information - United States"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"July 1996.\""]
[{"$nulls":4},"Shipping list no.: 1996-0351-P."]