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Seismic attributes as the framework for data integration throughout the oilfield life cycle. /

Useful attributes capture and quantify key components of the seismic amplitude and texture for subsequent integration with well log, microseismic, and production data through either interactive visualization or machine learning. Although both approaches can accelerate and facilitate the interpretati...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Marfurt, K. J. (Autor)
Autor Corporativo: Society of Exploration Geophysicists
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Tulsa, OK. : Society of Exploration Geophysicists, [2018]
Colección:Distinguished instructor series ; no. 21.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Marfurt, K. J.,  |e author  |4 aut 
245 1 0 |a Seismic attributes as the framework for data integration throughout the oilfield life cycle. /  |c presented by Kurt J. Marfurt. 
264 1 |a Tulsa, OK. :  |b Society of Exploration Geophysicists,  |c [2018] 
264 4 |c ©2018 
300 |a 1 online resource (xiv, 494 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Distinguished instructor series ;  |v number 21 
500 |a "2018 Distinguished Instructor Short Course." 
504 |a Includes bibliographical references (pages 459-477) and index. 
536 |a Sponsored by the Society of Exploration Geophysicists. 
588 0 |a Print version record. 
505 0 |a Introduction -- Seismic attributes and what they measure -- Postmigration data conditioning and image enhancement -- The exploration stage of the oilfield life cycle -- The development stage of the oilfield life cycle -- The mature stage of the oilfield life cycle -- Data integration during the rebirth stage of the oilfield life cycle : resource plays -- Data integration and a profile of the future interpreter -- Appendix A. Concepts of linear algebra -- correlation, linear regression, covariance matrices, eigenvectors, and principal components -- Appendix B. Multiattribute display. 
520 3 |a Useful attributes capture and quantify key components of the seismic amplitude and texture for subsequent integration with well log, microseismic, and production data through either interactive visualization or machine learning. Although both approaches can accelerate and facilitate the interpretation process, they can by no means replace the interpreter. Interpreter "grayware" includes the incorporation and validation of depositional, diagenetic, and tectonic deformation models, the integration of rock physics systematics, and the recognition of unanticipated opportunities and hazards. This book is written to accompany and complement the 2018 SEG Distinguished Instructor Short Course that provides a rapid overview of how 3D seismic attributes provide a framework for data integration over the life of the oil and gas field. Key concepts are illustrated by example, showing modern workflows based on interactive interpretation and display as well as those aided by machine learning. 
590 |a Knovel  |b ACADEMIC - Oil & Gas Engineering 
590 |a Knovel  |b ACADEMIC - Earth Sciences 
650 0 |a Seismic prospecting  |x Data processing. 
650 0 |a Petroleum  |x Prospecting  |x Data processing. 
650 6 |a Prospection sismique  |x Informatique. 
650 6 |a Pétrole  |x Prospection  |x Informatique. 
650 7 |a Petroleum  |x Prospecting  |x Data processing  |2 fast 
650 7 |a Seismic prospecting  |x Data processing  |2 fast 
710 2 |a Society of Exploration Geophysicists. 
776 0 8 |i Print version:  |a Marfurt, K.J.  |t Seismic attributes as the framework for data integration throughout the oilfield life cycle.  |d Tulsa, OK. : Society of Exploration Geophysicists, [2018]  |z 1560800860  |z 9781560800866  |w (OCoLC)1027965745 
830 0 |a Distinguished instructor series ;  |v no. 21. 
856 4 0 |u https://appknovel.uam.elogim.com/kn/resources/kpSAFDITO1/toc  |z Texto completo 
938 |a Society of Exploration Geophysicists  |b SEGB  |n 9781560803522 
994 |a 92  |b IZTAP