AI Water Allocation Control for Shale Gas Recycling
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Solution Overview
Problem
Shale gas exploitation faces inefficiencies in water resource recycling and management due to reliance on traditional physicochemical methods, incomplete treatment, environmental damage, high costs, and lack of integrated water resource allocation and recycling systems.
Innovation Solution
An intelligent circulation and allocation control system combining physical, chemical, and biological technologies with artificial intelligence for macroscopic water environment management, including a multi-stage decentralized restoration system, water quality detection, integrated data processing, intelligent safety warning, and asynchronous self-adaptive dual-regulation optimization control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional physicochemical treatment methods are used for recycled water, then treatment can be performed with simple equipment, but treatment completeness is poor and environmental damage is great
Solution Approach 1:
The treatment process is divided into multiple stages: primary physical treatment (screening, sedimentation), biological treatment (aerobic and anaerobic digestion), and chemical treatment (neutralization, precipitation). Each stage targets specific pollutants and achieves comprehensive treatment through sequential processing, resolving the contradiction between simple equipment and complete treatment.
Solution Approach 2:
The system integrates multiple treatment technologies (physical, chemical, and biological methods) into a composite treatment system. This combination allows the system to achieve high treatment effectiveness for various pollutants while managing environmental impact through diversified treatment mechanisms.
2Manufacturing precision
If traditional physicochemical treatment methods are used, then equipment requirements are met, but treatment cost is high
Solution Approach 1:
The system implements continuous operation of treatment processes with automated control, ensuring that treatment effectiveness is maintained consistently over time. The continuous operation optimizes resource utilization and reduces energy consumption compared to intermittent batch processing, resolving the contradiction between treatment effectiveness and cost.
Solution Approach 2:
The system incorporates real-time monitoring of water quality parameters and automated feedback control mechanisms. This allows the system to adjust treatment processes dynamically based on actual water quality conditions, optimizing treatment effectiveness while minimizing energy consumption and operational costs.
3Object-affected harmful factors
If only flowback fluid treatment is implemented, then specific pollution is addressed, but macroscopic water environment control is not realized
Solution Approach 1:
The treatment system is designed with multi-functionality to handle various types of water pollutants including flowback fluids, produced waters, and other exploitation-related wastewaters. The system can adapt to different water quality conditions and treatment requirements, achieving both specific flowback fluid treatment and broader macroscopic water environment control.
4Productivity
If water resource allocation is performed without intelligent control, then simple management is maintained, but water resource recycling efficiency is low
Solution Approach 1:
The intelligent control system incorporates automated decision-making capabilities that allow the system to self-regulate water resource allocation based on real-time data. The system automatically optimizes treatment processes, monitors water quality, and manages resource distribution without requiring constant human intervention, achieving high recycling efficiency while managing complexity through automation.
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 system enhances water resource recycling efficiency, optimizes allocation, reduces environmental pollution, and lowers treatment costs by integrating real-time data processing and adaptive control mechanisms.
Implementation Method 1
a two-phase gas floatation separator
Implementation Method 2
a multi-stage membrane reverse filter tank
Implementation Method 3
an ozone aeration and jet reaction tower
Implementation Method 4
a microbial filter tank
Implementation Method 5
a heavy magnetic coagulation flocculation self-circulation device
Data Source
AI summary
Disclosed is an intelligent circulation and allocation control system for multiple surface and ground water resources, including a physical, chemical and biological multi-stage decentralized restoration system, which is respectively connected with a water quality detection and reinjection system, an integrated data processing system, an intelligent safety early warning system, and an asynchronous and self-adaptive dual-regulation optimization control system, the water quality detection and reinjection system is connected with the intelligent safety early warning system, the intelligent safety early warning system is connected with the integrated data processing system, and the integrated data processing system is further connected with the asynchronous and self-adaptive dual-regulation optimization control system. The intelligent circulation and allocation control system is based on an improved wastewater treatment process coupling physical, chemical and biological technologies and combined with an artificial intelligence technology to treat various water sources in a macroscopic water environment and optimize allocation control.