Aquifer Injection Pumping System Design Optimization
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Solution Overview
Problem
The existing methods for designing aquifer injection-pumping systems face challenges in determining the optimal combination of variables such as the number and locations of injection and pumping wells, pump specifications, and pipe diameters due to the high number of constituent elements and wide selection ranges, making it economically and technologically impractical to determine arbitrary design plans.
Innovation Solution
A method using computer optimization to select the optimal combination of components by first optimizing injection and pumping well variables based on hydrogeology and then optimizing pump and pipeline network variables, employing underground water flow and pump-water service pipeline network flow models to maximize aquifer performance and minimize costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of constituent elements and selection ranges are increased to improve system performance, then the design flexibility and performance optimization potential are improved, but the complexity of determining the optimal design plan increases and becomes economically and technologically impractical
Solution Approach 1:
The patent replaces manual expert judgment and arbitrary determination methods with an automated computer-based optimization system. The system uses software to automatically evaluate multiple design combinations based on objective criteria (freshwater yield, cost, construction period), substituting the mechanical process of expert analysis with an automated computational approach that handles the complexity of multiple variables and selection ranges efficiently.
2Loss of time
If arbitrary design plans are determined without systematic optimization, then the design process is simplified and faster, but the economic and technological appropriateness deteriorates due to suboptimal performance
Solution Approach 1:
The patent performs preliminary evaluation and screening of design combinations using automated computer calculations before final selection. By pre-calculating performance metrics (freshwater yield, construction cost, construction period) for multiple combinations and systematically comparing them, the system ensures that the final design plan is both optimal and determined efficiently, avoiding both arbitrary selection and excessively time-consuming manual analysis.
3Productivity
If multiple injection wells and pumping wells are constructed to improve desalination effectiveness, then the aquifer desalination performance is improved, but the construction cost and system complexity increase
Solution Approach 1:
The patent systematically varies key parameters including the number of injection wells, number of pumping wells, their locations, injection rates, and pumping rates to find the optimal combination. By changing these parameters and evaluating their impact on freshwater yield, construction cost, and construction period, the system identifies the minimum number of wells required to achieve effective desalination, thereby reducing unnecessary construction while maintaining productivity.
Data Source
AI summary
The invention relates to a design method for an underground reservoir injection-pumping system. According to one embodiment, provided is a design method for an underground reservoir injection-pumping system, comprising a first optimization step of optimizing a first determination variable related to injection wells and pumping wells on the basis of hydrogeological data of an underground reservoir, and a second optimization step of optimizing a second determination variable related to a pump and water pipe network to be installed in the underground reservoir, on the basis of variable values of the first determination variable derived in the first optimization step, wherein the first determination variable includes the numbers and the position data of injection wells and pumping wells to be installed in the underground reservoir, and the second determination variable includes data related to a pipe diameter distribution of water pipes and a pump specification for each well.