Artificial Intelligence Technology on Layered Water Injection in Oilfield Development Process

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.

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Publication Details

Journal
International Journal of e-Collaboration
Published
2024-08-26
DOI
https://doi.org/10.4018/ijec.352596
Citations
2
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.67
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article

Artificial Intelligence Technology on Layered Water Injection in Oilfield Development Process

Qiang Qin, Dewei Wang
2 citations
International Journal of e-Collaboration
Reservoir Engineering and Simulation Methods
0.67
article

Artificial Intelligence Technology on Layered Water Injection in Oilfield Development Process

Qiang Qin, Dewei Wang
article en
2 citations

Abstract

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.

International Journal of e-CollaborationVol. 20(1)
Northeast Petroleum University (CN)
Clean water and sanitation
Openalex Percentile: Top 32%
Reservoir Engineering and Simulation Methods
0.67
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Artificial Intelligence Technology on Layered Water Injection in Oilfield Development Process — Qiang Qin, Dewei Wang · International Journal of e-Collaboration (2024) | TGRS Research Map | TGRS