Subsurface Fluid Flow and Imaging With Applications for Hydrology, Reservoir Engineering, and Geophysics

This book introduces methodologies for subsurface imaging based upon asymptotic and trajectory-based methods for modeling fluid flow, transport and deformation. It describes trajectory-based imaging from its mathematical formulation, through the construction and solution of the imaging equations, to the assessment of the accuracy and resolution associated with the image. Unique in its approach, it provides a unified framework for the complete spectrum of physical phenomena from wave-like hyperbolic problems to diffusive parabolic problems and non-linear problems of mixed character. The practical aspects of imaging, particularly efficient and robust methods for updating high resolution geologic models using fluid flow, transport and geophysical data, are emphasized throughout the book. Complete with online software applications and examples that enable readers to gain hands-on experience, this volume is an invaluable resource for graduate-level courses, as well as for academic researchers and industry practitioners in the fields of geoscience, hydrology, and petroleum and environmental engineering.

Preface; Acknowledgments; 1. The propagation of a disturbance in relation to imaging; 2. Principles and equations governing fluid flow and deformation; 3. Trajectory-based modeling; 4. Equations in diffusion form; 5. Equations governing advection and transport; 6. Immiscible fluid flow; 7. Coupled deformation and fluid flow; Appendix. A guide to the accompanying software; References; Index.

Donald Wyman Vasco is a senior scientist at the Lawrence Berkeley National Laboratory, recognized for his contributions to the development and application of asymptotic techniques to the modeling and inversion of fluid flow and geophysical data. Dr Vasco is the recipient of the Society of Petroleum Engineers' Cedric K. Ferguson Certificate for the best peer-reviewed paper of 1999, and has authored or co-authored over 100 peer-reviewed articles on geophysical and hydrological inverse methods and modeling techniques.
Akhil Datta-Gupta is University Distinguished Professor at Texas A&M University, and is well known for his contributions to the theory and practice of streamline simulation in petroleum reservoir characterization, management and calibration of high-resolution geologic models. Professor Datta-Gupta is the recipient of the Society of Petroleum Engineers' John Franklin Carll Award (2009) and Lester C. Uren Award (2003) for his contributions related to reservoir characterization and 3-D streamline simulation. He served as a member of the Polar Research Board of the National Academy of Sciences, Technology Task Force of the National Petroleum Council and was elected to the US National Academy of Engineering in 2012.