Automated MEM Parameter Estimation from Ultrasonic Image Logs
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Solution Overview
Problem
Mechanical earth models (MEMs) for well design rely heavily on manual interpretations of logging data, leading to variability and inaccuracy in estimating in-situ stresses and rock mechanical properties, particularly for determining the maximum horizontal stress, which affects wellbore stability and hydraulic fracturing success.
Innovation Solution
A method and system that utilize ultrasonic and resistivity image logs, combined with mechanical caliper logs, to automatically estimate borehole geometry and subsequently derive MEM parameters, such as in-situ stresses and rock mechanical properties, using image log interpretation engines and simulation engines on processors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual interpretation of logging data is used to determine MEM parameters, then expert knowledge can be applied, but the results vary greatly between users and lack consistency
Solution Approach 1:
The patent replaces the manual mechanical interpretation process with an automated image processing and analysis system. The system uses computer algorithms to automatically interpret wellbore images, extract geometric features, and calculate MEM parameters, eliminating the variability inherent in manual expert interpretation while maintaining the analytical capabilities.
Solution Approach 2:
The system enables self-service by allowing the computational algorithm to automatically process the logging data and generate MEM parameters without requiring continuous expert intervention. The automated workflow includes image acquisition, processing, feature extraction, and parameter calculation, all performed by the system itself.
2Productivity
If automated image log interpretation is implemented, then consistency and productivity improve, but accuracy may be reduced compared to expert manual interpretation
Solution Approach 1:
The system performs preliminary actions by pre-processing the image logs to enhance quality, correct distortions, and standardize the data before analysis. This includes calibration procedures and parameter optimization that prepare the data for accurate automated interpretation, ensuring both speed and precision are achieved.
Solution Approach 2:
The system incorporates feedback mechanisms where the automated interpretation results are validated and refined through iterative optimization. The algorithm adjusts its parameters based on the quality of results obtained, continuously improving accuracy while maintaining automated processing speed.
3Measurement precision
If comprehensive borehole geometry analysis is performed, then MEM parameter accuracy improves, but the complexity of the system increases
Solution Approach 1:
The system segments the complex analysis task into distinct modules: image acquisition, pre-processing, feature extraction, geometric parameter calculation, and MEM parameter estimation. Each module handles a specific aspect of the analysis, making the overall complex system manageable and maintainable while achieving comprehensive borehole geometry analysis.
Data Source
AI summary
A method for obtaining mechanical earth model (MEM) parameters, the method involving obtaining an ultrasonic image log for a borehole, based on the ultrasonic image log, obtaining an estimate of a borehole geometry for an entire circumference of the borehole in an interval of the ultrasonic image log, and estimating the MEM parameters using the estimate of the borehole geometry.


