Artificial Intelligence Technology on Layered Water Injection in Oilfield Development Process

被引:0
|
作者
Wang, Dewei [1 ]
Qin, Qiang [2 ]
机构
[1] Northeast Petr Univ, Daqing, Peoples R China
[2] COSL EXPRO Testing Serv Tianjin Co Ltd, Tianjin, Peoples R China
关键词
Water Flooding Technology; Intelligent Layered Water Injection; Petroleum Exploitation; Artificial Intelligence; Computer Vision; BP Neural Network; Oilfield Development; RESERVOIR;
D O I
10.4018/IJeC.352596
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Since the 1960s, researchers have worked to advance water flooding technology to address challenges like high viscosity, low fluidity, and depleting reservoirs, aiming to prevent oil fields from becoming unproductive. The integration of artificial intelligence (AI), computer vision, and advanced algorithms like BP neural networks has recently revolutionized this field. These technological advancements have upgraded water injection methodologies, overcoming past limitations and enabling real-time monitoring and dynamic control of water injection into different oil layers. This 'intelligent layering' ensures optimized water management, enhancing overall recovery rates. This overview highlights the progression of water injection techniques, critiques traditional methods' shortcomings, and delves into the cutting-edge applications of AI-driven intelligent layering systems. It serves as a valuable guide for oil industry stakeholders, equipment manufacturers, and research institutions seeking to refine water injection practices and boost hydrocarbon extraction efficiency.
引用
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页数:15
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