Wellbore Clean-Up Optimization via Coupled Simulation
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Solution Overview
Problem
Current methods for monitoring wellbore clean-up operations lack a comprehensive and adaptive approach, leading to inefficient and unpredictable outcomes due to unstable flow conditions and unknown effluent compositions.
Innovation Solution
A method and system that utilize simulators to model wellbore clean-up operations, allowing for the simulation of various parameters and constraints. This includes using a commercial process facility simulator and a wellbore clean-up simulator in a coupled configuration to optimize operations based on predefined objectives and constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional monitoring methods are used for wellbore clean-up operations, then the operational simplicity is maintained, but the stability and predictability of the clean-up process deteriorate due to unstable flow conditions and unknown effluent compositions
Solution Approach 1:
The patent applies preliminary action by performing simulations before actual wellbore clean-up operations to predict effluent composition and flow conditions. The simulation results are used to pre-determine optimal monitoring strategies and operational parameters, allowing the system to prepare for unstable conditions before they occur, thereby improving reliability without requiring complex real-time monitoring infrastructure.
Solution Approach 2:
The patent uses simulation models as virtual copies of the wellbore clean-up process to study and predict behavior without physically implementing complex monitoring systems. These digital twins replicate the effluent composition and flow dynamics, enabling operators to understand and prepare for unstable conditions through virtual experimentation rather than direct physical measurement.
2Productivity
If comprehensive simulation and optimization are implemented, then the efficiency and control of clean-up operations are improved, but the complexity of the operation increases due to multiple simulators and parameters
Solution Approach 1:
The patent merges multiple simulators (wellbore clean-up simulator and commercial process facility simulator) into a coupled simulation system that operates as an integrated whole. This combination allows the system to simultaneously model both the wellbore conditions and facility responses, improving operational efficiency by providing comprehensive predictions in a unified framework rather than requiring separate sequential analyses.
Solution Approach 2:
The coupled simulation system serves multiple functions: it predicts effluent composition, analyzes flow conditions, optimizes operational parameters, and evaluates different clean-up scenarios. This multi-functional approach improves productivity by using a single integrated system to perform what would otherwise require multiple separate tools and processes.
3Reliability
If real-time simulation and optimization are performed, then the control and stability of the operation are improved, but the time required for simulation and decision-making increases
Solution Approach 1:
The patent performs simulations in advance of actual operations to establish baseline predictions and optimal parameters. By conducting the computationally intensive simulation work beforehand, the system reduces real-time decision-making time while maintaining reliable control, as operators can reference pre-computed results rather than running full simulations during critical operational moments.
Data Source
AI summary
Systems and methods of the present disclosure provide systems and methods for receiving one or more sets of parameters related to an operation corresponding to a wellbore. At a first time, the operation is simulated using the one or more sets of parameters and at least one simulator. Pertinent results from the simulation are recorded and stored in a table. The pertinent results include at least one constraint. At a second time, the constraint is retrieved from the table for performance of the operation, and the constraint is used to control the operation.