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Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software (Information Fusion and Data Science) - Tapa blanda
Sinopsis
This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them. In drilling engineering, many signal processing technologies are required to solve practical problems, such as downhole information transmission, spatial attitude of drillstring, drillstring dynamics, seismic activity while drilling, among others. This title attempts to bridge the gap between the signal processing and data mining and oil and gas drilling engineering communities. There is an urgent need to summarize signal processing and data mining issues in drilling engineering so that practitioners in these fields can understand each other in order to enhance oil and gas drilling functions. In summary, this book shows the importance of signal processing and data mining to researchers and professional drilling engineers and open up a new area of application for signal processing and data mining scientists.
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DATA ANALYTICS FOR DRILLING ENGINEERING THEORY ALGORITHMS EXPERIMENTS SOFTWARE (PB 2020)
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DATA ANALYTICS FOR DRILLING ENGINEERING THEORY ALGORITHMS EXPERIMENTS SOFTWARE
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DATA ANALYTICS FOR DRILLING ENGINEERING THEORY ALGORITHMS EXPERIMENTS SOFTWARE (PB 2020)
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DATA ANALYTICS FOR DRILLING ENGINEERING THEORY ALGORITHMS EXPERIMENTS SOFTWARE
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Data Analytics for Drilling Engineering
Publicado por
Springer International Publishing, 2020
ISBN 10: 3030340376
ISBN 13: 9783030340377
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Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a new perspective on challenges in data processing in drilling engineeringContains numerous mathematical models of data processingFacilitates communication and understanding among . Nº de ref. del artículo: 430822420
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DATA ANALYTICS FOR DRILLING ENGINEERING THEORY ALGORITHMS EXPERIMENTS SOFTWARE
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Condición: New. Nº de ref. del artículo: 18384733630
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DATA ANALYTICS FOR DRILLING ENGINEERING THEORY ALGORITHMS EXPERIMENTS SOFTWARE (PB 2020)
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DATA ANALYTICS FOR DRILLING ENGINEERING THEORY ALGORITHMS EXPERIMENTS SOFTWARE (PB 2020)
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Condición: New. Brand New! Fast Delivery US Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. Nº de ref. del artículo: CB 9783030340377
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Data Analytics for Drilling Engineering
Publicado por
Springer International Publishing Dez 2020, 2020
ISBN 10: 3030340376
ISBN 13: 9783030340377
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them. In drilling engineering, many signal processing technologies are required to solve practical problems, such as downhole information transmission, spatial attitude of drillstring, drillstring dynamics, seismic activity while drilling, among others. This title attempts to bridge the gap between the signal processing and data mining and oil and gas drilling engineering communities. There is an urgent need to summarize signal processing and data mining issues in drilling engineering so that practitioners in these fields can understand each other in order to enhance oil and gas drilling functions. In summary, this book shows the importance of signal processing and data mining to researchers and professional drilling engineers and open up a new area of application for signal processing and data mining scientists. 328 pp. Englisch. Nº de ref. del artículo: 9783030340377
Cantidad disponible: 2 disponibles
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Data Analytics for Drilling Engineering : Theory, Algorithms, Experiments, Software
Publicado por
Springer International Publishing, 2020
ISBN 10: 3030340376
ISBN 13: 9783030340377
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them. In drilling engineering, many signal processing technologies are required to solve practical problems, such as downhole information transmission, spatial attitude of drillstring, drillstring dynamics, seismic activity while drilling, among others. This title attempts to bridge the gap between the signal processing and data mining and oil and gas drilling engineering communities. There is an urgent need to summarize signal processing and data mining issues in drilling engineering so that practitioners in these fields can understand each other in order to enhance oil and gas drilling functions. In summary, this book shows the importance of signal processing and data mining to researchers and professional drilling engineers and open up a new area of application for signal processing and data mining scientists. Nº de ref. del artículo: 9783030340377
Cantidad disponible: 1 disponibles