Geo-steering Processor for Directional Drilling Path Precision
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for horizontal, lateral, and directional drilling lack real-time data analysis and adjustment capabilities, leading to potential deviations from target paths and increased risks of environmental and safety hazards.
Innovation Solution
A computer-assisted geo-steering method that collects data from a drill string, uses a geo-steering processor to analyze and project paths, and provides real-time updates through an executive dashboard, allowing for adjustments to drilling operations to stay on target.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If real-time data collection and analysis systems are implemented in drilling operations, then drilling path precision and safety are improved, but device complexity and cost increase
Solution Approach 1:
The drilling system is divided into multiple independent functional modules: data collection module (sensors on drill string), transmission module (real-time data communication), processing module (geo-steering processor), and control module (drilling parameters adjustment). Each module performs a specific function, allowing the complex system to be managed through modular components that can be independently optimized and maintained.
Solution Approach 2:
The system implements continuous real-time feedback by monitoring drilling parameters (depth, direction, rock properties) and comparing actual drilling path against planned trajectory. The geo-steering processor analyzes this feedback data and automatically adjusts drilling parameters to correct deviations, creating a closed-loop control system that maintains high precision without requiring excessive complexity in individual components.
2Reliability
If continuous real-time monitoring is performed during drilling, then safety hazards are reduced, but energy consumption and operational complexity increase
Solution Approach 1:
The monitoring system applies partial action by focusing computational resources on critical safety parameters and high-risk drilling conditions rather than continuously analyzing all possible variables at maximum intensity. The system adjusts the level of monitoring intensity based on drilling depth, rock hardness, and proximity to target, reducing energy consumption during low-risk phases while maintaining high surveillance during critical operations.
Solution Approach 2:
The drilling system incorporates self-diagnostic capabilities where sensors and processors automatically detect and respond to safety hazards without external intervention. The geo-steering processor autonomously analyzes data patterns, identifies potential safety issues (such as wellbore instability or equipment anomalies), and triggers appropriate safety protocols, reducing the need for constant external monitoring and lowering overall system energy requirements.
3Manufacturing precision
If real-time path adjustment capabilities are added, then drilling accuracy is improved, but operational complexity and response time requirements increase
Solution Approach 1:
The system performs preliminary action by pre-calculating optimal drilling paths and storing multiple alternative trajectories before drilling begins. When real-time data indicates a need for path adjustment, the system can immediately switch to a pre-computed alternative path or apply pre-programmed correction algorithms, eliminating the need for complex real-time path recalculation and reducing operational complexity while maintaining high drilling accuracy.
Data Source
AI summary
A method for geo-steering, during directional drilling of a wellbore, including a processor, a data storage, and client devices in communication with the processor through a network. The processor can receive data from directional drilling equipment and can present that data to users in an executive dashboard. Users can send data and/or commands to the directional drilling equipment. The executive dashboard can present a portion of interest in a stratigraphic cross section for user identification of: the drill bit in the stratigraphic cross section, formations in the stratigraphic cross section, and other formation data. The method can be used to identify a projected path for the drill bit, import data, compute wellbore profiles and stratigraphic cross sections, plot actual drilling paths, overlay the actual drilling path onto the projected path, and present control buttons to the user.


