Wellbore Trajectory Optimization via Formation Loading Potential
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for wellbore trajectory optimization and casing design fail to accurately analyze casing failure at both field and reservoir scales without sacrificing modeling resolution, and do not adequately consider additional parameters such as formation loading potential, leading to instability and increased costs.
Innovation Solution
A computer-implemented method for wellbore optimization that calculates field-scale models for multiple well paths, determines formation loading potential, selects an optimal well path, and performs elasto-plastic predictions for casing failure to determine optimal casing strength, using submodeling techniques to link field and reservoir scales.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If field-scale modeling is used to analyze casing failure, then the scope of analysis is improved, but the modeling resolution deteriorates
Solution Approach 1:
The patent divides the wellbore system into multiple segments or zones along the well path, each with its own detailed casing model and formation properties. This segmentation allows field-scale analysis to cover the entire well while maintaining high-resolution modeling at each segment, resolving the contradiction between analysis scope and modeling resolution.
Solution Approach 2:
The patent applies different modeling resolutions to different locations along the wellbore based on local formation conditions and casing failure risks. High-resolution modeling is applied where casing failure is most likely, while lower resolution is used in less critical areas, thereby maintaining overall field-scale coverage without sacrificing necessary local detail.
2Reliability
If casing strength is increased to prevent failure, then the reliability is improved, but the cost increases
Solution Approach 1:
The patent optimizes casing design by carefully selecting and adjusting parameters such as casing grade, wall thickness, and material properties based on the calculated formation loading potential at each wellbore location. This allows using the minimum necessary casing strength required for reliability, avoiding unnecessary over-design and associated costs.
Solution Approach 2:
The patent performs preliminary calculation of formation loading potential and casing failure risk before finalizing casing specifications. This advance analysis allows optimization of casing strength requirements, ensuring adequate reliability while minimizing material costs by avoiding excessive casing specifications in low-risk areas.
3Duration of action of stationary object
If wellbore trajectory is optimized to minimize formation loading, then the casing life is improved, but the drilling complexity increases
Solution Approach 1:
The patent employs dynamic trajectory optimization that adapts the wellbore path based on real-time or pre-acquired formation properties and calculated formation loading potential. The trajectory is dynamically adjusted to minimize formation loading and maximize casing life, while the system manages the complexity through automated computational methods and decision support tools.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for accurate selection of wellbore trajectories that minimize formation loading, ensuring longer casing life and reduced drilling costs by optimizing wellbore stability and resistance to changes in pore pressure and in-situ stress.
Implementation Method 1
calculating a secondary submodel of the wellbore interval, the secondary submodel comprising a predetermined casing for the wellbore and an elasto-plastic prediction of a casing failure value for the predetermined casing
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Systems and methods for wellbore optimization, which include numerical procedures for selecting an optimal wellbore trajectory and casing strength based on Formation Loading Potential A method includes using computer-implemented method for optimization of a wellbore, the method including calculating a field scale model for multiple well paths in a production field, calculating a Formation Loading Potential for the field scale model, selecting a well path having a lowest peak value of Formation Loading Potential, and determining an optimal casing strength for the wellbore.