Inverse Theory for Petroleum Reservoir Characterization and History Matching
University of Oklahoma · University of Tulsa · +1 more institution
Abstract
This book is a guide to the use of inverse theory for estimation and conditional simulation of flow and transport parameters in porous media. It describes the theory and practice of estimating properties of underground petroleum reservoirs from measurements of flow in wells, and it explains how to characterize the uncertainty in such estimates. Early chapters present the reader with the necessary background in inverse theory, probability and spatial statistics. The book demonstrates how to calculate sensitivity coefficients and the linearized relationship between models and production data. It also shows how to develop iterative methods for generating estimates and conditional realizations. The text is written…
Citation impact
- FWCI
- 17.89
- Percentile
- 100%
- References
- 0
Authors
3Topics & keywords
- Inverse
- Matching (statistics)
- Petroleum
- Sensitivity (control systems)
- Reservoir modeling
- Computer science
- Flow (mathematics)
- Petroleum engineering
- Clean water and sanitation