Telemetry Data Gap Recovery Using Overlapping Measurement Blocks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current telemetry systems in oilfield downhole operations experience gaps in data transmission due to noise interference, restarts, and varying drilling rates, leading to incomplete or corrupted data streams, which reduce drilling efficiency and the ability to detect thin hydrocarbon beds.
Innovation Solution
A method and system that aggregate downhole measurements into measurement blocks, evaluate for gaps, and fill them using combined, overlapping, or event measurement blocks with different sampling rates to create a complete data stream, enhancing data integrity and real-time operator understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is transmitted using traditional telemetry methods in harsh downhole environments, then data transmission can be achieved, but data gaps and corruption occur due to noise interference and environmental constraints
Solution Approach 1:
The system performs preliminary actions by creating overlapping measurement blocks that anticipate potential data gaps. Before transmission, multiple redundant data blocks are prepared with overlapping time intervals, so when noise corruption occurs during transmission, the receiving system already has alternative data blocks ready to fill the gaps without interruption to drilling operations.
Solution Approach 2:
The system changes the parameter of sampling rates by using variable sampling intervals in different measurement blocks. Some blocks use higher sampling rates while others use lower rates, allowing the system to adapt to different downhole conditions and fill data gaps more effectively by selecting appropriate sampling density based on the specific operational context.
2Productivity
If data is transmitted in real-time during drilling operations, then operational efficiency is maintained, but data gaps reduce the ability to detect thin hydrocarbon beds
Solution Approach 1:
The system prepares overlapping measurement blocks in advance that cover potential data gaps. This preliminary action ensures that when real-time transmission occurs, complete data coverage is already available for post-processing analysis, enabling accurate detection of thin hydrocarbon beds without slowing down drilling operations.
Solution Approach 2:
The system merges multiple overlapping measurement blocks into a consolidated data set. By combining data from multiple blocks with overlapping time intervals, the system creates a continuous, high-resolution data stream that maintains both real-time operational efficiency and the measurement precision needed to detect thin hydrocarbon beds.
3Stability of the object's composition
If measurement blocks are sent in predetermined sequences, then data transmission structure is maintained, but gaps occur when special sequences interrupt normal measurement block transmission
Solution Approach 1:
The system creates overlapping measurement blocks in advance that anticipate interruptions from special sequences. By preparing redundant data blocks before transmission, the system ensures that when special sequences interrupt normal measurement block transmission, the gaps can be filled using the pre-prepared overlapping blocks, maintaining both structural stability and complete information.
4Speed
If data is compressed for transmission to increase data rate, then transmission speed improves, but data reconstruction accuracy may be reduced
Solution Approach 1:
The system merges multiple compressed measurement blocks with overlapping time intervals into a consolidated data set. This merging process allows the system to maintain compressed transmission speeds while reconstructing complete, high-precision data by combining information from multiple compressed blocks, thereby recovering any precision lost during individual compression processes.
Data Source
AI summary
The disclosure provides a method and system to recover some or all of the data missing in types of gaps that occur in data streams received via telemetry. The gaps can be filled in real time to enhance operator understanding of current operations. For gaps created by special sequences sent via telemetry during a time interval that telemetry would be sending measurement blocks (MB) of data, the gaps can be filled using special MBs combined with MBs for a next time interval to create combined MBs, sent via telemetry, and extracted to backfill the gaps. For gaps caused by corrupted data, the gaps can be filled with data from overlapping MBs having overlapping data based on overlapping time intervals. For gaps caused by gap events, including different drilling rates of penetration, event MBs with sampling rates different than a predetermined sampling rate can be sent via telemetry.