Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software: Information Fusion and Data Science
Autor Qilong Xueen Limba Engleză Paperback – 31 dec 2020
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Specificații
ISBN-13: 9783030340377
ISBN-10: 3030340376
Ilustrații: XIII, 312 p. 149 illus., 101 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Information Fusion and Data Science
Locul publicării:Cham, Switzerland
ISBN-10: 3030340376
Ilustrații: XIII, 312 p. 149 illus., 101 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Information Fusion and Data Science
Locul publicării:Cham, Switzerland
Cuprins
Introduction to the Application of Drilling Data Processing.- Signal Processing of Downhole Information Transmission.- Dynamic Measurement of Spatial Attitude at the Bottom Rotating DrillString.- Measurement and Analysis of Drillstring Dynamics.- Signal processing in logging while drilling.- Data Mining in Seismic While Drilling.- Applications of Big Data in Drilling Engineering.- Summary and Outlook.
Caracteristici
Provides a new perspective on challenges in data processing in drilling engineering Contains numerous mathematical models of data processing Facilitates communication and understanding among drilling practitioners