MWD Service Table Segmentation for Multi-Device Data Polling
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Solution Overview
Problem
Existing MWD device assemblies face challenges in integrating and flexibly selecting data from multiple devices due to simple service table architectures, which cannot accommodate varying data types and requirements across different formations and well conditions, leading to inefficiencies and increased drilling costs.
Innovation Solution
A service table configuration for MWD devices that includes frame numbers, data items, device addresses, measurement parameters, valid bits, and status flags, allowing for flexible data combination and monitoring, with up to 256 frame numbers and 256 devices, and supporting data compression to enhance transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the service table architecture is kept simple to handle basic attitude information, then the device complexity and operation ease are maintained at acceptable levels, but the adaptability to handle multiple data types from diverse MWD devices deteriorates
Solution Approach 1:
The service table is segmented into multiple data frames, each capable of holding different types of measurement data (attitude information, formation data, tool data, etc.). This segmentation allows the system to handle diverse data types from multiple MWD devices without creating a monolithic complex structure, as each frame can be independently configured and populated based on specific device requirements
Solution Approach 2:
The service table architecture is made dynamic through configurable parameters including the number of data frames (up to 256), the number of data items per frame (up to 10), and the ability to select different data types for each frame. This dynamic configuration capability allows the system to adapt to various MWD device combinations and data requirements without requiring a completely different table structure for each scenario
2Adaptability or versatility
If the service table is configured to support more devices and data types, then the adaptability improves, but the ease of operation and configuration deteriorates
Solution Approach 1:
The system uses parameter changes to configure the service table for different device combinations. Instead of requiring complex structural modifications, users can adjust parameters such as the number of data frames, the number of data items per frame, and the specific data types to be collected. This parameter-based configuration approach maintains ease of operation while supporting up to 256 devices and multiple data types
Solution Approach 2:
The service table is designed with universal functionality to handle multiple data types from different MWD devices through a unified structure. Each data frame can be configured to hold different measurement data (attitude, formation, tool data), and the same table mechanism can serve various device combinations, eliminating the need for device-specific table configurations and simplifying operation
3Measurement precision
If all data from all devices is collected to ensure complete information, then the measurement precision and completeness improve, but the loss of time and transmission efficiency deteriorates
Solution Approach 1:
The system extracts only the necessary data items from each device based on the configured service table. Instead of collecting all available data from all MWD devices, the service table specifies exactly which data items (up to 10 per frame) need to be retrieved, filtered, and transmitted. This extraction approach ensures measurement precision for required parameters while significantly reducing polling time and transmission overhead by excluding unnecessary data
4Adaptability or versatility
If the service table supports flexible data selection for different formations, then the adaptability improves, but the device complexity increases
Solution Approach 1:
The service table configuration is performed in advance before actual data collection. Users pre-configure the number of data frames, data items per frame, and specific data types to be collected based on the formation and well conditions. This preliminary configuration simplifies the actual data collection process during drilling, as the system simply needs to follow the pre-defined service table structure rather than making complex integration decisions in real-time
Data Source
AI summary
A service table for polling data of downhole transmission devices in MWD includes a frame number, a number of data items of a data frame, a number of cycles of the data frame in a polling process, a device address of each of the data items, a measurement parameter, a valid bit number, a valid byte number of the data frame, a total frame number, a total polling frame number H and a total polling frame number L, an error polling frame number H and an error polling frame number L, and a transmission status bit flag. The service table architecture for polling data of a downhole transmission device in MWD has been used in actual drilling devices and has completed field operations for multiple wells. Compared to the simplified service tables in the past, the service table can support multiple downhole transmission devices working simultaneously, which has improved drilling efficiency and saved drilling costs.