Well Operation Script Simulation for Deployment Risk Reduction
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Solution Overview
Problem
Traditional conveyance methods for complex well operations, such as wireline logging, face challenges with borehole deviation and geometry anomalies, leading to increased deployment times and risks, including tool sticking and costly fishing jobs, necessitating the development of new risk-reduction technologies.
Innovation Solution
A computer-implemented method and system for deployment risk management using script-based data entry and modeling, which simulates well operations using Newtonian physics to analyze operational data and reduce excess cable and forces, enabling effective enforcement of operating policies and reducing risks through optimized task sequencing and parameter control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional conveyance methods (wireline logging) are used in complex wells, then deployment can be performed, but deployment time increases and risks of tool sticking and fishing jobs increase
Solution Approach 1:
The system performs preliminary simulation and analysis of well operations before actual deployment. Operating parameters are optimized and risk assessments are conducted in advance, allowing the actual deployment to proceed more efficiently with reduced risks of tool sticking and fishing jobs.
Solution Approach 2:
The system continuously monitors operational parameters during well operations and uses this feedback to adjust deployment strategies in real-time. This includes analyzing forces on the cable, tool position, and other critical parameters to prevent tool sticking and optimize deployment timing.
2Reliability
If multiple wireline runs are performed, then logging data can be acquired, but rig time and costs increase
Solution Approach 1:
The system simulates and plans the entire logging operation sequence before execution, determining the optimal number and configuration of wireline runs needed to acquire all necessary logging data. This preliminary planning reduces the need for multiple repetitive runs by optimizing tool configurations and run sequences.
Solution Approach 2:
The system designs logging toolstrings and conveyance systems that can perform multiple logging functions in a single deployment. By making the logging system multi-functional, fewer separate wireline runs are needed to acquire different types of logging data, thereby improving rig time efficiency.
3Reliability
If drillpipe is used for conveyance, then reliability in reaching total depth is improved and fishing jobs are avoided, but cost and time expenses increase significantly
Solution Approach 1:
The system changes key parameters of cable-based conveyance methods through simulation and optimization, such as cable tension, deployment speed, and toolstring configuration. By optimizing these parameters, the system achieves reliability comparable to drillpipe while maintaining the cost and time efficiency of cable methods.
Solution Approach 2:
The system uses simulation models to create a virtual copy of the well operation that can be tested and optimized without actual deployment risks. This allows the development of deployment strategies that achieve drillpipe-level reliability through optimized cable operations, avoiding the need to actually use expensive drillpipe conveyance.
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
The script-based approach reduces deployment risks and costs by optimizing well operation sequences, minimizing excess cable and forces, and ensuring efficient tool operation, thereby enhancing the reliability and efficiency of complex well operations.
Implementation Method 1
simulates the well operation job based on the operating parameters using Newtonian physics
Data Source
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AI summary
Examples of techniques for deployment risk management are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method may include: receiving, by a processing device, operating parameters for simulating a well operation job; simulating, by the processing device, the well operation job based on the operating parameters to generate a script for performing the well operation job, wherein the script comprises an ordered plurality of tasks and corresponding task parameters; and performing the well operation job based on the script generated by the simulation.