Persona-Based Drilling Reports Using Multi-Source AI Generation
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Solution Overview
Problem
Existing drilling report generation techniques are inefficient and costly, often resulting in reports that are not easily understood by non-experts due to technical language and limited information, and lack the ability to integrate multiple specialists' perspectives and client-specific requirements.
Innovation Solution
A drilling report model, such as a large language model (LLM), is trained to generate plain language reports from operator and service company reports, integrating multiple perspectives and client preferences, using a foundation model to enhance report quality and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional drilling report generation techniques are used, then reports can be generated, but they are inefficient and costly and result in reports that are not easily understood by non-experts
Solution Approach 1:
The patent replaces traditional mechanical report generation processes with an AI-based system that uses large language models to automatically generate drilling reports. This substitution eliminates manual writing and processing, significantly improving both efficiency and readability while maintaining accuracy.
Solution Approach 2:
The system changes the language parameters of the reports by transforming technical jargon into plain language while maintaining the essential information and accuracy of the drilling reports, making them accessible to non-experts without sacrificing productivity.
2Loss of information
If traditional drilling report generation techniques are used, then reports can be generated, but they use technical language and provide limited information
Solution Approach 1:
The patent merges multiple sources of information including operator reports, service company reports, and additional contextual data into a single comprehensive report. This integration ensures that all relevant information is included while being presented in clear, accessible language.
Solution Approach 2:
The AI system acts as an intermediary that translates complex technical information into plain language, serving as a bridge between the detailed technical data and the needs of non-expert readers while preserving complete information.
3Adaptability or versatility
If traditional drilling report generation techniques are used, then reports can be generated, but they lack the ability to integrate multiple specialists' perspectives and client-specific requirements
Solution Approach 1:
The system dynamically adapts to different client requirements and specialist perspectives by using prompts that can be customized for each specific situation. This allows the same basic system to generate reports tailored to various audiences and purposes without requiring multiple separate systems.
Solution Approach 2:
The patent creates a universal report generation system that can handle multiple types of reports for different clients and purposes using a single AI model. This multi-functional approach eliminates the need for separate specialized systems while maintaining high adaptability to specific requirements.
Data Source
AI summary
A drilling report generation system may receive a query to generate the drilling report, the query including a time period and a persona, the persona including a frame of reference for the drilling report. A drilling report generation system may generate a prompt for a drilling report model, the prompt including the time period and the persona. A drilling report generation system may input the prompt to the drilling report model, the drilling report model generating the drilling report, wherein the drilling report model generates the drilling report based on a primary source and one or more secondary sources, the primary source and the one or more secondary sources including subject matter associated with the persona. A drilling report generation system may provide the drilling report to a user.