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Seismic Attributes As the Framework for Data Integration Throughout the Oilfield Life Cycle [Kõva köide]

  • Formaat: Hardback, 508 pages, kõrgus x laius: 279x216 mm, kaal: 1814 g
  • Sari: Distinguished Instructor Series
  • Ilmumisaeg: 30-May-2018
  • Kirjastus: Society of Exploration Geophysicists
  • ISBN-10: 1560803517
  • ISBN-13: 9781560803515
Teised raamatud teemal:
  • Formaat: Hardback, 508 pages, kõrgus x laius: 279x216 mm, kaal: 1814 g
  • Sari: Distinguished Instructor Series
  • Ilmumisaeg: 30-May-2018
  • Kirjastus: Society of Exploration Geophysicists
  • ISBN-10: 1560803517
  • ISBN-13: 9781560803515
Teised raamatud teemal:
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.
Preface
Acknowledgments
Chapter 1 Introduction
Chapter 2 Seismic Attributes and What They Measure
Chapter 3 Postmigration Data Conditioning and Image Enhancement
Chapter 4 The Exploration Stage of the Oilfield Life Cycle
Chapter 5 The Development Stage of the Oilfield Life Cycle
Chapter 6 The Mature Stage of the Oilfield Life Cycle
Chapter 7 Data Integration During the Rebirth Stage of the Oilfield Life
Cycle: Resource Plays
Chapter 8 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
References
Index