Polymer Injection Well Blockage Analysis Simulation Device
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Solution Overview
Problem
Existing methods for determining blockage types and main control factors in polymer injection wells rely heavily on scale samples, which are costly, time-consuming, and limited in their ability to identify specific factors, failing to provide comprehensive analysis.
Innovation Solution
An experimental device and method utilizing an injection system, simulation system, output collection system, and information acquisition system to simulate polymer injection processes, allowing for the determination of blockage types and main control factors through controlled fluid injection and permeability analysis in core sample tubes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If scale samples are used to determine blockage type and main control factor, then the determination can be made based on actual field data, but the process becomes costly, time-consuming, and operationally complex
Solution Approach 1:
The patent creates a virtual copy of the reservoir system through numerical simulation models that replicate the physical blockage processes. Instead of relying on physical scale samples, the invention uses computational models that copy the essential characteristics of reservoir-rock-fluid interactions, allowing blockage analysis to be performed in silico rather than requiring extensive field sampling and laboratory analysis
Solution Approach 2:
The patent replaces the mechanical/physical sampling and analysis system with a computational simulation system. Instead of physically collecting, transporting, and analyzing scale samples in laboratories, the invention substitutes this entire mechanical process with numerical models that simulate blockage mechanisms, eliminating the need for physical sample handling and reducing both time and operational complexity
2Reliability
If scale samples are used to determine blockage type and main control factor, then field conditions can be reflected, but the operational complexity and cost increase significantly
Solution Approach 1:
The patent creates a virtual copy of the reservoir system through numerical simulation models that replicate the physical blockage processes. Instead of relying on physical scale samples, the invention uses computational models that copy the essential characteristics of reservoir-rock-fluid interactions, allowing blockage analysis to be performed in silico rather than requiring extensive field sampling and laboratory analysis
Solution Approach 2:
The patent develops a universal numerical simulation platform that can analyze multiple types of blockages (polymer-driven, profile control, displacement technology) within a single integrated system. This multi-functional approach eliminates the need for separate sampling and analysis procedures for different blockage types, reducing operational complexity while maintaining comprehensive coverage of various blockage mechanisms
3Loss of information
If extensive field sampling is conducted to analyze blockage mechanisms, then comprehensive data can be obtained, but the process becomes expensive and operationally burdensome
Solution Approach 1:
The patent creates a virtual copy of the reservoir system through numerical simulation models that replicate the physical blockage processes. Instead of relying on physical scale samples, the invention uses computational models that copy the essential characteristics of reservoir-rock-fluid interactions, allowing blockage analysis to be performed in silico rather than requiring extensive field sampling and laboratory analysis
Solution Approach 2:
The patent enables systematic variation of simulation parameters (polymer concentration, injection rate, rock properties, fluid composition) to explore different blockage scenarios and identify main control factors. This parametric approach allows comprehensive information about blockage mechanisms to be obtained by adjusting numerical parameters rather than conducting numerous expensive field sampling campaigns
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
Enables efficient and cost-effective identification of blockage types and main control factors in polymer injection wells, providing detailed insights into the mechanisms of polymer-driven blockages without the need for extensive field sampling.
Implementation Method 1
The injection system is configured to inject fluid into the simulation system... the fluid outlet being connected with one end of a fluid injection pipe... control the fluid to be injected into the at least one core sample tube
Implementation Method 2
at least one core sample tube connected with the other end of the fluid injection pipe... permeability analysis in core sample tubes
Data Source
AI summary
Embodiments of the present disclosure provide an experimental device and a method for determining a blockage type and a main control factor of a polymer injection well. The experimental device includes an injection system, a simulation system, an output collection system, and an information acquisition system. The simulation system includes a remote processor. The method comprises: obtaining a process parameter of the polymer injection well during actual construction, and a reservoir parameter corresponding to the polymer injection well; configuring the experimental device according to the process parameter and the reservoir parameter; conducting at least one of water injection development simulation, polymer injection development simulation, regulation and displacement operation simulation, and comprehensive operation simulation based on the experimental device according to the process parameter to obtain simulation data; and determining the blockage type and the main control factor of the polymer injection well based on the simulation data.