Wireline Logging Depth Self-Correction Using Cross-Correlation
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Solution Overview
Problem
Accurate depth logging in formation evaluation is challenging due to environmental factors like temperature and pressure, and mechanical stretch, which complicates depth measurement correction in wireline or logging-while-drilling operations.
Innovation Solution
The implementation of multiple sensors with a predetermined distance between them, using cross-correlation analysis to determine depth shifts and apply continuous self-correction to logging depth measurements, accounting for cable or pipe stretching by correlating patterns generated by each sensor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used with predetermined distance for depth correction, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system divides the depth measurement function into multiple sensors (first sensor and second sensor) spaced at a predetermined distance apart. Each sensor independently measures formation patterns, and their combined data through cross-correlation provides accurate depth shift detection, resolving the contradiction by segmenting the measurement task to achieve higher precision without excessive complexity
Solution Approach 2:
The system performs automated self-correction of depth measurements by using the sensors to detect their own depth shifts through cross-correlation analysis. The depth correction is calculated and applied automatically without external intervention, improving measurement precision while keeping the system relatively simple through self-service operation
2Productivity
If automated self-correction is implemented using cross-correlation analysis, then productivity is improved, but use of energy increases
Solution Approach 1:
The system performs preliminary cross-correlation analysis on the formation patterns captured by multiple sensors to pre-calculate depth shifts before final logging. This preliminary action enables automated self-correction to proceed efficiently with reduced real-time processing energy requirements, balancing productivity improvement with energy consumption
Solution Approach 2:
The system replaces manual depth correction procedures with automated computational cross-correlation analysis. This substitution increases productivity by eliminating manual intervention, while the computational process is optimized to manage energy consumption through efficient algorithms that process sensor data without excessive energy use
Data Source
AI summary
The subject disclosure relates to techniques for correcting logging depth of a well bore. A process of the disclosed technology can include receiving a first sensor measurement from a first sensor disposed in a wellbore, receiving a second sensor measurement from a second sensor disposed in the wellbore, wherein the first sensor and the second sensor are disposed on a wireline with a predetermined distance between the first sensor and the second sensor, generating a correlation function based on the first sensor measurement and the second measurement, and determining, based on the correlation function, whether the measurements indicate a perceived distance between the first sensor and the second sensor deviating from the predetermined distance.