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020 _a9783030340353
024 7 _a10.1007/978-3-030-34035-3
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
041 0 _aeng
050 4 _aTN870
_b2020 EB
100 1 _aXue, Qilong.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aData Analytics for Drilling Engineering
_bTheory, Algorithms, Experiments, Software
_cby Qilong Xue.
250 _a1st ed. 2020.
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2020.
300 _a1 recurso en línea (XIII, 312 páginas)
_b 149 ilustraciones, 101 ilustraciones a color.
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aInformation Fusion and Data Science
_x2510-1528
505 0 _aIntroduction 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.
520 3 _aThis 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.
988 _aPrimersemestre_2020_Engineering
650 7 _2embne
_9671074
_aIngeniería del petróleo
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030340346
776 0 8 _iPrinted edition:
_z9783030340360
776 0 8 _iPrinted edition:
_z9783030340377
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-34035-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2020
_dz
_eb
_zSI