Optical Fiber Cable Markers for Well Depth Calibration
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Solution Overview
Problem
The oil and gas industry faces challenges in accurately identifying and calibrating fiber optic cables due to manual errors in labeling and deployment, leading to costly mistakes and inaccurate fiber depth calibration, especially in hazardous wellhead environments.
Innovation Solution
The implementation of an optical marker device with attenuators and a human-readable label that sets a unique optical identifier for fiber optic cables, allowing automatic identification and calibration, which can be detected by DAS interrogators and computer systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual identification and labeling of fiber optic cables is used, then flexibility in deployment is maintained, but errors in cable identification and well depth calibration occur
Solution Approach 1:
The fiber optic cable automatically identifies itself through embedded optical markers that are read by the interrogator system. The cable carries its own identification information (optical markers at specific distances from the wellhead) eliminating the need for manual labeling and reducing human error in cable identification and depth calibration.
2Measurement precision
If tap test is performed manually for fiber depth calibration, then calibration data can be obtained, but access to hazardous wellhead areas is required and broad acoustic signature causes measurement errors
Solution Approach 1:
The mechanical tap test is replaced with an optical identification system. The interrogator sends optical signals through the fiber cable and detects reflected signals from optical markers at known distances from the wellhead. This substitution eliminates the need for physical access to hazardous wellhead areas and removes the broad acoustic signature interference that plagues manual tap tests.
3Productivity
If multiple fiber optic cables are connected to data collection center, then comprehensive monitoring is achieved, but cable-to-interrogator matching errors occur
Solution Approach 1:
The system uses optical markers embedded at specific distances from the wellhead on each fiber cable. When the interrogator sends optical signals through the cables, it detects the reflected signals from these markers and automatically determines which cable is connected to which interrogator based on the timing and characteristics of the reflected signals. This feedback mechanism ensures accurate cable-to-interrogator matching even when multiple cables are connected to the data collection center.
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 solution ensures accurate fiber optic cable identification and calibration, reducing errors, simplifying deployment, and enabling automation in well systems, thereby saving costs and enhancing operational efficiency.
Implementation Method 1
one or more attenuators configurable to set an optical marker that uniquely identifies the fiber optic cable
Implementation Method 2
allowing automatic identification and calibration, which can be detected by DAS interrogators
Data Source
AI summary
Systems, methods, and apparatus, including computer programs encoded on computer-readable media, for implementing an optical marker for fiber optic cable identification and well system calibration and automation. A well system may include a fiber optic cable and an optical marker device. The optical marker device may include a fiber optic line configured to couple to the fiber optic cable of the well system. The optical marker device may include one or more attenuators coupled with the fiber optic line. The one or more attenuators are configurable to set an optical marker that uniquely identifies the fiber optic cable. The optical marker device that implements the optical marker may be positioned at a known location of the well system for use in the calibration and automation of the well system.