Downhole Tool and Driller Depth Data Correlation Synchronization
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Solution Overview
Problem
Existing logging while drilling (LWD) technologies face challenges in synchronizing tool acceleration as a function of time with driller depth as a function of time, which is cumbersome, time-consuming, and expensive.
Innovation Solution
A process and system for synchronizing driller depth data with downhole tool acceleration data by determining in-slips and out-of-slips conditions, establishing a common time grid, interpolating status indicators, selecting an allowed minimum overlapping time period, and calculating a correlation coefficient to align the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional time synchronization methods are used between surface clock and downhole clock, then data merging can be achieved, but the process becomes very cumbersome, time consuming, and expensive
Solution Approach 1:
The patent replaces traditional mechanical time synchronization methods (clock merging) with a signal-based correlation approach. By using acceleration signals as a reference and computing correlation coefficients between surface and downhole acceleration data, the system automatically determines time shifts without manual clock synchronization, thereby reducing time and cost while maintaining accuracy
Solution Approach 2:
The system uses the downhole tool's own acceleration signals to perform self-synchronization. The correlation-based method allows the downhole data to automatically align with surface data using the acceleration patterns as a natural reference, eliminating the need for external clock synchronization mechanisms
2Measurement precision
If traditional time synchronization methods are used between surface clock and downhole clock, then data merging can be achieved, but the process becomes very cumbersome, time consuming, and expensive
Solution Approach 1:
The patent replaces complex mechanical clock synchronization systems with a computational correlation approach. By using acceleration signal correlation and automated time shift determination, the system simplifies the synchronization process while maintaining or improving accuracy, eliminating manual intervention and complex clock merging procedures
Solution Approach 2:
The patent introduces acceleration signals as an intermediary reference for synchronization. Instead of directly synchronizing clocks, the system uses acceleration patterns as a mediator to indirectly align time references between surface and downhole systems, simplifying the overall synchronization complexity
3Productivity
If traditional time synchronization methods are used between surface clock and downhole clock, then data merging can be achieved, but the process becomes very cumbersome, time consuming, and expensive
Solution Approach 1:
The patent replaces manual clock synchronization procedures with automated computational methods. By using correlation coefficient calculations and automatic time shift determination on acceleration data, the system dramatically improves processing efficiency while reducing the time required for synchronization, enabling faster data merging and analysis
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
Facilitates efficient and accurate synchronization of driller depth and tool acceleration data, reducing time and cost associated with traditional synchronization methods.
Implementation Method 1
a sensor or sensors (e.g., accelerometers) for acquiring acceleration data imparted on the downhole tool along the tool axis
Data Source
AI summary
Processes and systems for synchronizing driller depth data as a function of time with downhole tool acceleration data as a function of time. In some embodiments, the process can include determining one or more in slips conditions for a drill pipe; determining one or more in slips conditions for a downhole tool; interpolating the in slips status indicators on to a common time grid; determining one or more shifts for which an allowed minimum overlapping time period between the acceleration data and the driller depth data is not less than an allowed minimum overlapping time period; determining a correlation coefficient between the interpolated in slips status indicators for each of the one or more shifts; determining a maximum correlation coefficient and a time shift associated with the maximum correlation; and synchronizing the acceleration data and the driller depth data.