Reservoir Characterization and Workflow Modeling

Successful modeling projects underpin uncertainty-driven business decisions. This book focuses on a scenario driven process to develop appropriate geological models and introduces workflows and technologies for 3D modeling and geostatistics.

Brief but readable, Reservoir Characterization and Workflow Modeling, begins with a clear and rigorous exposition of reservoir characterization basics, followed by self-contained chapters concerning 3D workflow modeling applications. A complete real-life data set is available for exercises and to illustrate various issues and how data from various disciplines are screened and integrated into the 3D model. This is intended to introduce new concepts and stimulate discussion spawning new ideas through case histories. The book focuses on modeling workflows starting with capturing uncertainties and creating a representative suite of model scenarios.

Additionally, considerable attention is paid to further strengthening the integration of geoscience and engineering. For example, methods will be discussed to more directly obtain permeability values representing engineering scale grid-cells and introducing basic simulation principles to geoscientists enabling a better approach morphing geological models into engineering (simulation) models. The book is intended for reservoir engineers, geologists, geophysicists, and petrophysicists who wish to gain a better appreciation for each other's disciplines. Managerial and technical staff can benefit by gaining profound insight and practical templates with respect to management of integrated workflows. The book is supported by a 3D modeling workflow and geostatistics 'Best Practice' system, co-developed by ReservoirTeam and QGSI. This web-based system allows optimal dissemination of the book learnings both within modeling teams and across company workgroups, thereby facilitating systematic implementation of 3D modeling workflows.

With this book, professionals and students will find a valuable guide to:

- Post processing methods for ranking scenarios and realizations

- Summarizing realizations as an aid in selecting drill sites

- Selecting key scenarios and realizations for flow simulation

Deterministic and stochastic approaches are discussed, and their underlying concepts and assumptions are revealed.