Quantification of the impact of data in reservoir modeling
Explore this paper's citation graph
- Type
- article
- Published
- 2013-05-22
- Cited by
- 6
- References
- 50
- Access
- Open access
- OpenAlex
- https://openalex.org/W39608697
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:107388392
Keywords
Computer science, Geology
References
- Evaluation of the Reduction in Uncertainty Obtained by Conditioning a 3D Stochastic Channel to Multiwell Pressure Data
- Computational methods for multiphase flows in porous media
- Petroleum Reservoir Simulation
- Handbook of Linear Algebra
- Geophysical data analysis : discrete inverse theory
- Inverse Methods for Atmospheric Sounding: Theory and Practice
- Reduced-order optimal control of water flooding using proper orthogonal decomposition
- Data assimilation with a barotropically unstable shallow water system using representer algorithms
- Asynchronous data assimilation with the EnKF
- The Hat Matrix in Regression and ANOVA
- Closed Loop Reservoir Management
- Inverse Theory for Petroleum Reservoir Characterization and History Matching
- The Ensemble Kalman Filter: theoretical formulation and practical implementation
- A New Algorithm for Automatic History Matching
- Application of Optimal Control Theory to Enhanced Oil Recovery
- Accounting for an imperfect model in 4D‐Var
- Dynamic Optimization of Waterflooding With Smart Wells Using Optimal Control Theory
- Open Ocean Modeling as an Inverse Problem: Tidal Theory
- Integration of production data into reservoir models
- Certain Topics in Telegraph Transmission Theory
Cited by
- A new method to improve estimation of uncertain parameters in the Ensemble Kalman filter by re-parameterization employing prior statistics correction
- Reducing the effect of uncertainty in robust optimization for oil recovery
- A spatial-temporal approach to reduced complexity modelling for hydrocarbon reservoir optimization
- State updating in Xin’anjiang model by Asynchronous Ensemble Kalman filtering with enhanced error models
- State updating of the Xin'anjiang model: joint assimilating streamflow and multi-source soil moisture data via the asynchronous ensemble Kalman filter with enhanced error models
- State updating in the Xin'anjiang Model: Joint assimilating streamflow and multi-source soil moisture data via Asynchronous Ensemble Kalman Filter with enhanced Error Models
Related papers
- Integrated workflow for computer assisted history matching on a channelized reservoir
- Comparison of Multi-Model History Matching Methods
- On the difficulty to optimally implement the Ensemble Kalman filter: An experiment based on many hydrological models and catchments
- Systematic Uncertainty Reduction for Petroleum Reservoirs Combining Reservoir Simulation and Bayesian Emulation Techniques
- Adaptive Experimental Design for Non-Linear Modeling – Application to Quantification of Risk for Real Field Production