Stochastic Grammar for Automated Rig State Detection
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Solution Overview
Problem
Current oilfield drilling processes rely heavily on human vigilance for problem detection, which is prone to errors due to fatigue, high workload, or lack of experience, and existing techniques for automated rig state detection use only single input channels, limiting their accuracy and effectiveness.
Innovation Solution
A method using a knowledge representation with a stochastic grammar to interpret multiple data channels, providing probabilities for drilling activities and automating rig state detection by processing data from various sensors, including hookload, block position, and drill bit status, to improve accuracy and reduce human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple data channels are used for rig state detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system segments the complex monitoring task into multiple independent data channels (hookload, block position, drill bit status, etc.), each processed separately through the stochastic grammar framework. This allows precise interpretation of each channel while maintaining overall system manageability through modular architecture.
Solution Approach 2:
The stochastic grammar interpretation system serves as a universal processing framework that handles multiple different data channel types (hookload, block position, drill bit status) using a single integrated approach. This multi-functional system resolves the contradiction by providing unified processing that improves precision without proportionally increasing complexity.
2Productivity
If automated detection systems are implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The stochastic grammar framework enables the system to automatically interpret multiple data channels and detect rig states without human intervention. The system serves itself by autonomously processing data, identifying events, and providing interpretations, thereby improving productivity while the modular grammar structure keeps complexity manageable.
Solution Approach 2:
The system replaces manual human vigilance and interpretation with an automated computational framework. The stochastic grammar-based interpretation system substitutes human operators, improving productivity by eliminating fatigue and inconsistency while maintaining relatively simple system architecture through rule-based processing.
3Measurement precision
If stochastic grammar interpretation is used for multiple data channels, then measurement precision is improved, but loss of information increases
Solution Approach 1:
The stochastic grammar framework is pre-configured with domain-specific knowledge and interpretation rules before data processing begins. This preliminary preparation allows the system to efficiently interpret multiple data channels with high precision without losing information, as the interpretation framework is already optimized for the specific drilling operations context.
Data Source
AI summary
A method and system for automating exploration and production of subterranean resources, using data collected from exploration and production activities, including drilling rig data and/or the like is described. The method and system include the use of a knowledge representation containing representation of uncertainty in the exploration and production operations.