Interactive Well Site Planning with Dynamic Trajectory Adjustment
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Solution Overview
Problem
Current well site planning methods are inflexible and do not allow for user interaction, often resulting in complex and time-consuming processes that fail to maximize production output while meeting engineering constraints and minimizing costs.
Innovation Solution
A dynamic well site planning method using a three-dimensional model of a hydrocarbon field, allowing users to interactively determine well site locations, reservoir targets, and well trajectories based on specified constraints, with the ability to adjust these parameters in real-time in response to user feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection of reservoir targets and well trajectories is used, then flexibility and user control are improved, but the planning process becomes complex and time-consuming
Solution Approach 1:
The system implements an iterative feedback loop where users can modify well site location parameters, and the system automatically recalculates optimal reservoir targets and well trajectories based on updated constraints. This allows users to maintain control while reducing manual iteration time through automated response to parameter changes.
Solution Approach 2:
The system automatically adjusts multiple planning parameters (reservoir target selection, well trajectory paths, drilling parameters) in response to changes in well site location or constraint parameters. This automated parameter optimization reduces the time required for manual planning while maintaining user control over key decisions.
2Adaptability or versatility
If dynamic adjustment of well site location and trajectories is enabled, then adaptability to constraints is improved, but the complexity of the planning system increases
Solution Approach 1:
The planning system is segmented into modular components: constraint evaluation module, reservoir target selection module, well trajectory generation module, and optimization module. Each component handles specific aspects of the planning problem independently, making the overall complex system more manageable and easier to implement while maintaining high adaptability.
Solution Approach 2:
The system employs dynamic algorithms that automatically recalculate optimal plans when constraints or parameters change. The well trajectory generation and reservoir target selection are performed dynamically based on current well site location and constraints, enabling the system to adapt to varying conditions without requiring manual reconfiguration of the entire planning process.
3Productivity
If automated selection of reservoir targets is used, then planning speed is improved, but user control and flexibility are reduced
Solution Approach 1:
The system performs automated optimization for reservoir target selection and well trajectory planning, but allows users to override or manually adjust specific decisions. This partial automation approach maintains high planning speed for routine optimizations while preserving user control for critical decisions or edge cases requiring human judgment.
Data Source
AI summary
A method and systems for dynamically planning a well site are provided herein. The method includes generating, via a computing system, a three-dimensional model of a hydrocarbon field including a reservoir. The method also includes determining a location for a well site based on the three-dimensional model and determining reservoir targets for the determined location and a well trajectory for each reservoir target. The method also includes adjusting the location for the well site within the three-dimensional model and dynamically adjusting the reservoir targets and the well trajectories based on the dynamic adjustment of the location for the well site. The determination and the dynamic adjustment of the location, the reservoir targets, and the well trajectories for the well site are based on specified constraints. The method further includes determining a design for the well site based on the dynamic adjustment of the location, the reservoir targets, and the well trajectories for the well site.