Description
Book SynopsisUseful 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.
Table of Contents
- 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
