Geological Log Data Reconstruction via Morphological Component Analysis
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Solution Overview
Problem
Existing geological logging methods face challenges in producing continuous resistivity image logs due to gaps caused by the design of multi-pad micro-resistivity tools, which hinder data completeness and accuracy, especially when using 1D interpolation techniques that fail to recover missing details and lead to false edge detections.
Innovation Solution
A method involving pre-processing steps such as identifying and compensating for null values, normalizing data within and between pad strips, and selecting appropriate data generation techniques like 2D correlation or Morphological Component Analysis (MCA) to reconstruct missing data, utilizing shearlet transforms and basis pursuit algorithms for accurate data reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If 1D interpolation techniques are used to fill missing data in geological log data, then the data completeness is improved, but the measurement precision deteriorates due to false edge detections and failure to recover missing details
Solution Approach 1:
The patent transitions from 1D interpolation methods to 2D correlation methods for reconstructing missing data. By utilizing the two-dimensional structure of the log data (depth and lateral position), the method can recover missing details more accurately without introducing false edge detections, thus maintaining measurement precision while improving data completeness.
Solution Approach 2:
The patent introduces Morphological Component Analysis (MCA) as an intermediary method between the raw incomplete data and the final reconstructed data. MCA decomposes the data into different morphological components, allowing for more accurate reconstruction of missing information while preserving the true features and avoiding false edge detections.
2Productivity
If multi-pad micro-resistivity tools are used for logging, then the productivity is improved, but the reliability deteriorates due to gaps in the log data caused by tool design
Solution Approach 1:
The patent extracts and separately processes the different components of the log data using Morphological Component Analysis. By identifying and separating the various morphological components present in the data, the method can effectively fill gaps caused by the multi-pad tool design while preserving the reliability of the recovered information.
Solution Approach 2:
The patent creates a reconstructed copy of the missing data segments by correlating with patterns from other parts of the log data. This copying approach, enhanced by 2D correlation and MCA, allows for reliable reconstruction of gap regions while maintaining the overall reliability of the complete log data set.
3Ease of operation
If environmental sensitivity variations are present in the log data, then the ease of operation is improved for data collection, but the manufacturing precision deteriorates in the reconstructed data
Solution Approach 1:
The patent applies local quality adjustments by processing different segments of the log data with appropriate corrections for environmental sensitivity variations. By addressing each local region's specific characteristics, the method maintains manufacturing precision in the reconstructed data while preserving the ease of operation for data collection.
Solution Approach 2:
The patent changes the parameters of the data processing by applying corrections for environmental sensitivity variations during the reconstruction process. This allows the method to compensate for variations in ease of operation across different logging conditions while maintaining high manufacturing precision in the final reconstructed data.
Data Source
AI summary
A method and a resistivity image logging tool connected or connectable to one or more processing devices process geological log data to construct missing information from destroyed or occluded parts using cues from observed data. The geological log data signals can be generated through use of the logging tool having one or more electrodes interacting with a formation intersected by a borehole. The processing involves the steps of: in respect of one or more data dimensions associated with missing values in a log data set, decomposing the signal into a plurality of morphological components; and morphologically reconstructing the signal such that missing values are estimated.