Geological Model Analysis Using Cross-Well EM Measurements
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Solution Overview
Problem
Accurate assessment of fluid saturation distribution in subterranean formations is hindered by measurement errors, modeling gaps, and lack of detailed characterization, leading to high uncertainty in reservoir modeling and history matching processes.
Innovation Solution
Integration of time-lapsed well-based and electromagnetic (EM) cross-well measurement data into dynamic reservoir modeling, using a processor to determine simulated changes and update the geological model if they are not within an error threshold, thereby improving the accuracy of fluid saturation distribution and history matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional well-based measurements alone are used for reservoir characterization, then the measurement cost and complexity are lower, but the uncertainty in fluid saturation distribution assessment is high
Solution Approach 1:
The patent combines traditional well-based measurements with electromagnetic cross-well measurements to create an integrated measurement system. This merging of multiple measurement technologies provides complementary information about fluid saturation distribution, thereby reducing uncertainty in reservoir characterization while managing system complexity through coordinated integration of the different measurement approaches.
Solution Approach 2:
The electromagnetic measurements serve as an intermediary between traditional well-based measurements and the final reservoir characterization model. By introducing EM measurements as an additional data source that bridges gaps in traditional measurement coverage, the system reduces uncertainty without requiring complete redesign of the entire measurement infrastructure.
2Measurement precision
If multiple data sources are integrated into a predictive reservoir model, then the model accuracy improves, but the time and effort required for history matching increases
Solution Approach 1:
The patent implements an automated feedback mechanism where the processor continuously compares simulated changes from the geological model against actual time-lapsed well-based and cross-well EM measurement data. This feedback loop automatically identifies discrepancies and triggers model updates, eliminating the need for manual, time-consuming history matching processes while maintaining high model accuracy through iterative refinement.
Solution Approach 2:
The system performs self-service by automatically integrating multiple data sources and updating the geological model without requiring extensive manual intervention. The processor autonomously evaluates whether simulated changes are within error thresholds of the measurement data and initiates model updates when necessary, significantly reducing the time and effort required for history matching while improving model accuracy.
3Productivity
If automated processing of multiple measurement data sources is implemented, then the productivity of reservoir analysis improves, but the device complexity increases
Solution Approach 1:
The processor system is designed with multi-functionality to handle various types of measurement data (well-based and cross-well EM measurements) through a single integrated platform. This universal approach consolidates multiple data processing functions into one system, improving productivity by eliminating the need for separate processing systems while managing complexity through standardized, unified processing algorithms.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces uncertainty in reservoir characterization, enhances the accuracy of history matching, and improves field development options by providing a more precise assessment of hydrocarbon recovery and injection conformance through automated integration of cross-well EM measurements into dynamic reservoir models.
Implementation Method 1
collecting time-lapsed electromagnetic (EM) cross-well measurement data via a plurality of spaced-apart second boreholes
Data Source
AI summary
A method for geological formation analysis may include collecting time-lapsed well-based measurement data from a first borehole in a geological formation over a measurement time period, and collecting time-lapsed electromagnetic (EM) cross-well measurement data via a plurality of spaced-apart second boreholes in the geological formation over the measurement time period. The method may further include determining simulated changes to a hydrocarbon resource in the geological formation over the measurement time period based upon a geological model using a processor, and using the processor to determine if the simulated changes are within an error threshold of the time-lapsed well-based measurement data and the time-lapsed cross-well EM measurement data. If the simulated changes are not within the error threshold, then the geological model may be updated.