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Wu Xuqing (16 results)
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Statistical Inversion of Electromagnetic Logging Data (SpringerBriefs in Petroleum Geoscience & Engineering)
Book 16 of 25: SpringerBriefs in Petroleum Geoscience & EngineeringSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 50.80
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. pp. VII, 79 43 illus., 41 illus. in color. 1 Edition NO-PA16APR2015-KAP.
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Paperback. Condition: Brand New. 88 pages. 9.25x6.10x0.21 inches. In Stock.
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Condition: New.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents data driven approaches to improve drilling performance in geothermal, coiled tubing, and conventional operations. It begins with transformer models for forecasting rate of penetration in geothermal wells, followed by methods for predicting both penetration and downhole shock in coiled tubing drilling. A variational autoencoder framework is introduced for diagnosing resistivity tool anomalies to support reliable geosteering. Subsequent chapters examine the use of deep autoencoders and separation networks to improve electromagnetic telemetry signals. This book also details synthetic data driven models combined with physics-based degradation approaches to forecast the remaining useful life of drilling equipment. Hybrid strategies for generating synthetic data are discussed to extend model training in scenarios with limited failure records. Each chapter blends technical insights with real-world case studies, demonstrating how these methods reduce non-productive time, improve tool reliability, and strengthen decision making in drilling operations.
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Paperback. Condition: Brand New. 88 pages. 9.25x6.10x0.21 inches. In Stock. This item is printed on demand.
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Condition: New. Print on Demand pp. VII, 79 43 illus., 41 illus. in color.
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Condition: New. PRINT ON DEMAND pp. VII, 79 43 illus., 41 illus. in color.
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Statistical Inversion of Electromagnetic Logging Data
Book 16 of 25: SpringerBriefs in Petroleum Geoscience & EngineeringLanguage: English
Published by Springer International Publishing, 2020
ISBN 10: 3030570967 ISBN 13: 9783030570965
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Systematically discusses statistical inversion of electromagnetic logging data in oilfield drilling Explains the innovative Bayesian inference and sampling methods used for statistical inversion Includes a wealth of case studies, schematics.
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Deep Learning for Seismic Data Enhancement and Representation
Language: English
Published by Springer Verlag GmbH, 2024
ISBN 10: 3031757440 ISBN 13: 9783031757440
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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Deep Learning Applications for Drilling Performance: Forecasting, Diagnostics, Telemetry, and Predictive Maintenance
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents data driven approaches to improve drilling performance in geothermal, coiled tubing, and conventional operations. It begins with transformer models for forecasting rate of penetration in geothermal wells, followed by methods for predicting both penetration and downhole shock in coiled tubing drilling. A variational autoencoder framework is introduced for diagnosing resistivity tool anomalies to support reliable geosteering. Subsequent chapters examine the use of deep autoencoders and separation networks to improve electromagnetic telemetry signals. This book also details synthetic data driven models combined with physics-based degradation approaches to forecast the remaining useful life of drilling equipment. Hybrid strategies for generating synthetic data are discussed to extend model training in scenarios with limited failure records. Each chapter blends technical insights with real-world case studies, demonstrating how these methods reduce non-productive time, improve tool reliability, and strengthen decision making in drilling operations.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch.
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Condition: New. Print on Demand.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Condition: New. PRINT ON DEMAND.
