Real-Time Well Decision Support Using Function Event Signatures
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Solution Overview
Problem
Drilling and well operations in the oil and gas industry are prone to human error, downtime, and safety hazards due to manual preparation and interpretation of well procedures, leading to significant costs and inefficiencies.
Innovation Solution
An automated method for generating and executing well procedures using function models, event signatures, and real-time data streams to monitor and control operations, reducing reliance on human intervention and minimizing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual preparation and interpretation of well procedures is used, then human expertise and flexibility are utilized, but human error increases and operational reliability decreases
Solution Approach 1:
The system enables automated self-service through AI-driven decision support that autonomously generates well procedures, monitors operational parameters, and provides real-time recommendations without requiring manual human intervention for each decision, thereby reducing human error while maintaining operational flexibility
Solution Approach 2:
The patent replaces the mechanical human decision-making process with an automated AI-based system that uses machine learning models and algorithms to analyze well data, generate procedures, and provide real-time operational guidance, eliminating human error sources while preserving expert knowledge
2Productivity
If manual well procedure preparation and interpretation is performed, then adaptability to specific well conditions is maintained, but time consumption and operational downtime increase
Solution Approach 1:
The system performs preliminary automated generation of well procedures and operational plans before field operations begin, using AI models to pre-analyze well characteristics and prepare optimized procedure templates that can be quickly deployed and adjusted during actual operations, reducing on-site preparation time
Solution Approach 2:
The patent uses copying by creating standardized well procedure templates from historical successful operations that can be rapidly replicated and adapted to new wells, allowing the system to leverage past experience without requiring complete manual re-analysis for each new operation
3Object-affected harmful factors
If human specialists interpret well procedures at the well site, then contextual understanding is achieved, but exposure to safety hazards increases
Solution Approach 1:
The patent introduces an automated decision support system as an intermediary between well data and operational decisions, where the AI system remotely analyzes well conditions and provides recommendations without requiring human specialists to be physically present at hazardous locations, thus protecting personnel while maintaining situational awareness through advanced sensing and data analytics
Data Source
AI summary
Method for controlling the state of an operation in a hydrocarbon exploration and recovery environment, including creating at least one function model, said function model including at least one function, executing at least one function within said function model, defining a plurality of function controls, a pre-determined combination of given function controls within said plurality of function controls defining a signature event, an occurrence of said signature event being indicative of a specific state of said operation, and monitoring the occurrence of said signature event during execution of a certain function included in said at least one function model.