Reservoir Model Data Conciliation via Power Value Calculation
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Solution Overview
Problem
Current methods for characterizing hydrocarbon reservoirs face challenges in conciliating data from different scales, particularly in determining effective permeability, which is crucial for accurate modeling and simulation, leading to long computation times and approximated values.
Innovation Solution
A method involving a computer-based approach that calculates a power value using a mean power formula to relate apparent permeability to local permeabilities, allowing for data conciliation and scale change, facilitating efficient handling and estimation of reservoir characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If numerical simulation is performed on finely discretized models with tens of millions of cells, then manufacturing precision of reservoir model is improved, but computation time increases exponentially
Solution Approach 1:
The patent applies segmentation by dividing the reservoir model into multiple sub-domains or blocks, where each block is independently discretized and simulated. This allows the overall model to maintain high precision through fine discretization while reducing computational burden by processing segments separately rather than as a single monolithic model.
Solution Approach 2:
The patent introduces a new dimension of modeling by incorporating temporal evolution of geological faults and fractures. Instead of static models, the system models the dynamic development of discontinuities over time, allowing for more accurate representation of reservoir heterogeneity without requiring excessive spatial discretization at every time step.
2Reliability
If geostatistical modeling with evolutionary geological faults is implemented, then reliability of reservoir representation is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamics by making the geological fault model evolutionary rather than static. The system simulates the temporal development of faults and fractures, where discontinuities evolve over time according to geological processes. This dynamic approach improves reliability by capturing the true historical development of the reservoir while managing complexity through time-dependent rather than spatially-expensive modeling.
Solution Approach 2:
The patent introduces an intermediary computational framework that bridges geostatistical modeling and dynamic fault evolution. This intermediary system coordinates the interaction between statistical rock property modeling and mechanical fault development, allowing both processes to be integrated without directly coupling their complex computational requirements.
3Measurement precision
If dynamic characteristics of complex reservoirs are evaluated through well tests, then measurement precision of reservoir quality is improved, but loss of time for data acquisition increases
Solution Approach 1:
The patent applies preliminary action by performing numerical simulations and predictive modeling before actual well tests are conducted. The system uses the evolutionary geostatistical model to predict reservoir behavior and identify optimal test locations and conditions, allowing for more efficient field testing that requires less actual measurement time while maintaining or improving precision.
Data Source
AI summary
A method and system for conciliating hydrocarbon reservoir model data. In one implementation, a set of local permeability values of a reservoir and an apparent permeability value of the reservoir are provided. A power value is numerically calculated from a mean power formula that relates the apparent permeability value of the reservoir to the local permeability values of the set via the power. The calculated power value is compared with a reference value. Depending on the outcome of the comparison, the set of local permeability values is modified.