Reservoir Model Update Using Grid Mismatch and Cluster Metrics
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Solution Overview
Problem
Current methods for updating reservoir static models are either time-consuming and processor-intensive when performing global updates or do not accurately reflect changes in the reservoir with local updates, leading to suboptimal reservoir management.
Innovation Solution
A system and method that evaluate well data using metrics such as grid model vertical mismatch and cluster metrics to determine whether to perform global or local updates of the reservoir computer model, allowing for automatic and efficient updates based on the actual well data received from newly drilled wells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a global update is performed on the reservoir static model, then the model accuracy is improved, but the time and computational resources required are significantly increased
Solution Approach 1:
The patent segments the reservoir static model update process into two distinct approaches: global updates that rebuild the entire model and local updates that modify only specific regions. This segmentation allows users to choose the appropriate update scope based on their needs, balancing accuracy requirements against time constraints. The system evaluates whether to perform a global or local update based on the characteristics of the new well data and the extent of model changes required.
Solution Approach 2:
The patent implements partial action by allowing local updates that modify only the portions of the reservoir model affected by new well data, rather than requiring a complete global rebuild. This partial update approach maintains model accuracy in the affected regions while significantly reducing the time and computational resources required compared to a full global update.
2Loss of time
If a local update is performed on the reservoir static model, then the update time is reduced, but the global statistics and overall geological view may not be accurately reflected
Solution Approach 1:
The patent introduces dynamic decision-making that automatically selects between local and global update approaches based on real-time evaluation of the new well data characteristics, spatial distribution, and the extent of model changes required. This dynamic selection mechanism ensures that the appropriate update scope is chosen for each specific scenario, optimizing both time efficiency and model accuracy without requiring manual intervention.
Solution Approach 2:
The system incorporates feedback mechanisms that evaluate the results of local updates and determine whether global updates are subsequently required. By monitoring the impact of local modifications on overall model consistency and geological realism, the system can trigger global updates when necessary to maintain global statistics and the overall geological view, while minimizing unnecessary global rebuilds.
3Reliability
If the reservoir static model is globally rebuilt with new well data, then the model robustness is improved, but the geological models of facies and porosity are changed away from the new wells
Solution Approach 1:
The patent applies local quality by preserving the existing geological models of facies and porosity in regions not affected by new well data, while only modifying these properties in the specific locations where new wells have been drilled. This localized modification approach maintains the overall geological realism and fidelity of the model while incorporating new well information, avoiding the excessive changes that would occur with a complete global rebuild.
Data Source
AI summary
Systems and methods for updating a reservoir model are disclosed. In one embodiment, a method of updating a reservoir computer model includes receiving actual well data from a plurality of wells, and accessing model well data from the reservoir computer model for a plurality of modeled wells, wherein the plurality of modeled wells correspond to the plurality of wells. The method further includes comparing the actual well data to the model well data according to a grid model vertical mismatch metric. When the grid model vertical mismatch metric is satisfied, the method includes globally updating the reservoir computer model. When the grid model vertical mismatch metric is not satisfied, the method includes comparing the plurality of wells of the actual well data to a cluster metric, when the cluster metric is satisfied, locally updating the reservoir computer model, and when the cluster metric is not satisfied, globally updating the reservoir computer model.