04768nam 2200637Ia 450 991046308330332120200520144314.01-61399-064-2(CKB)2670000000281165(EBL)3404975(SSID)ssj0000958078(PQKBManifestationID)11535414(PQKBTitleCode)TC0000958078(PQKBWorkID)10985575(PQKB)11329345(MiAaPQ)EBC3404975(Au-PeEL)EBL3404975(CaPaEBR)ebr10619546(OCoLC)923391172(EXLCZ)99267000000028116520130119d2011 uy 0engur|n|---|||||txtccrArtificial intelligence & data mining applications in the E&P industry[electronic resource] /Shahab D. Mohaghegh, Saud M. Al-Fattah, Andrei S. PopaRichardson, TX Society of Petroleum Engineersc20111 online resource (271 p.)Getting up to speedDescription based upon print version of record.Includes bibliographical references.""Foreword""; ""Contents""; ""Virtual-Intelligence Applications in Petroleum Engineering: Part 1�Artificial Neural Networks""; ""Virtual-Intelligence Applications in Petroleum Engineering: Part 2�Evolutionary Computing""; ""Virtual-Intelligence Applications in Petroleum Engineering: Part 3�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""""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""""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 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""""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 Gels�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""""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""Getting Up to SpeedPetroleum engineeringNeural networks (Computer science)Data miningElectronic books.Petroleum engineering.Neural networks (Computer science)Data mining.Mohaghegh Shahab D887000Al-Fattah Saud M887001Popa Andrei S887002Society of Petroleum Engineers (U.S.)MiAaPQMiAaPQMiAaPQBOOK9910463083303321Artificial intelligence & data mining applications in the E&P industry1980718UNINA