Satellite-Aided Multi-Well Logging with AI Transceiver Optimization
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Solution Overview
Problem
Existing well logging technologies face inaccuracies due to interference and unique conditions within a wellbore, especially when attempting to monitor multiple wells simultaneously, which complicates the determination of subsurface formation properties such as porosity and permeability.
Innovation Solution
A method and system utilizing a dual artificial intelligence (AI) model to predict satellite performance and optimize transceiver parameters, combined with an optimizer, to adjust parameters automatically and in real-time for improved communication and logging accuracy across multiple wells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple wells are monitored simultaneously using existing logging tools, then productivity increases, but measurement precision deteriorates due to interference and unique conditions within each wellbore
Solution Approach 1:
The patent introduces a satellite communication system as an intermediary to transmit logging data from multiple wells simultaneously. The satellite acts as a mediator that receives data from multiple base stations (each associated with a well) and relays it to the processing system, enabling simultaneous monitoring of multiple wells without the interference that occurs with traditional single-well logging tools
Solution Approach 2:
The logging system is designed with multi-functionality to handle multiple wells simultaneously. The satellite communication infrastructure and processing system can accommodate data from multiple base stations, making the system universal enough to monitor various wells with different formations and conditions without requiring separate dedicated logging operations for each well
2Ease of operation
If traditional logging tools are used in complex wellbore conditions, then ease of operation is maintained, but measurement precision deteriorates due to interference
Solution Approach 1:
The patent replaces traditional mechanical logging tools that physically interact with the wellbore contents with a remote sensing and communication system. Instead of using mechanical tools that directly measure formation properties and are susceptible to wellbore interference, the system uses satellite-based communication to transmit data from base stations, substituting the mechanical measurement process with a remote electronic system that is not affected by wellbore conditions
Solution Approach 2:
The satellite communication system serves as an intermediary that separates the measurement collection point (base station near the well) from the data processing center. This intermediary communication channel eliminates the direct influence of wellbore interference on the measurement accuracy, as the satellite transmission path is not affected by the unique conditions within each wellbore
3Device complexity
If manual adjustment of transceiver parameters is used, then device complexity is reduced, but productivity decreases due to time-consuming parameter optimization
Solution Approach 1:
The system implements self-service through automated parameter optimization. The dual AI model continuously monitors satellite performance and automatically adjusts transceiver parameters without requiring manual intervention. The system serves itself by using the AI model to predict performance metrics and the optimizer to automatically tune parameters, eliminating the need for operators to manually adjust settings while maintaining optimal performance
Solution Approach 2:
The patent incorporates a feedback mechanism where the dual AI model continuously receives performance data from the satellite communication system, analyzes it, and provides recommendations for parameter optimization. The optimizer uses this feedback loop to automatically adjust transceiver parameters in real-time, creating a closed-loop system that continuously improves performance without manual intervention and significantly increases productivity
Data Source
AI summary
A method for optimizing satellite performance in a multi-well simultaneous logging system, the method including obtaining transceiver data from at least one satellite and from a plurality of base stations, where each base station includes a surface antenna and is associated with an oil and gas well. The method further includes obtaining a set of transceiver parameters related to the at least one satellite and the plurality of surface antennas. The method further includes determining, with a dual artificial intelligence (AI) model including a first artificial intelligence model, a predicted satellite performance based on the transceiver data and the set of transceiver parameters. The method further includes determining, with an optimizer applied to the dual AI model, an optimal set of transceiver parameters such that the predicted satellite performance is optimized and adjusting, automatically, the set of transceiver parameters to the optimal set of transceiver parameters.