Design of Intelligent Control Systems for Layered Water Injections in Oilfields

Introduction

Oil and gas resources are currently one of China’s most important primary energy concerns. Consequently, exploring oil resources, exploitation, and engineering applications related to national industrial development and national livelihood, as well as ensuring high-quality production of oil fields, is of great strategic significance. With the rapid development of society and sustained economic growth, people’s demand for oil and gas resources is also increasing(Lei et al., 2023). After many years of exploitation, domestic oil reservoirs are decreasing. This decrease results in lower reservoir oil pressure, leading to increases of the oil-to-gas ratio, a rise in the viscosity of crude oil, and a reduction in the yield (Cheng et al., 2022).

Improvement of these problems through a water injection process has become a common means of oil recovery engineering. After years of development of water injection technology, a better system has emerged; however, longtime water injection oil extraction creates high water content in oil fields. Oil field reservoirs comprise several layers to dozens of layers that vary. The traditional direct injection of water into oil leads to the high cost of water injection, low oil recovery efficiency, and other issues. Therefore, an intelligent control system for automatic water injection for different oil field reservoirs is urgently needed(Su et al., 2021). For this paper, we researched technologies, such as advanced sensors and digital signal processing (DSP), as well as intelligent algorithms, and focused on the research of layered water injection intelligent systems. We summarized the advantages of a stratified water injection system, and the current research status of academia and industry at home and abroad provided us with the intelligent control structure of the stratified water injection researched for this paper. We focused on the research of water injection flow regulating valve and high-pressure seals, sensors, and other downhole actuators; hardware circuit designs that include peripheral information acquisition, output drive, communication, and other functions; and designs for modularized software flow based on TMS320F28335. We also researched modularized software flow based on adaptive particle swarm optimization (PSO) technology (Wang, 2022). We also focused on design of the modular software flow based on TMS320F28335, which provides the intelligent control core based on the adaptive PSO algorithm. Currently, the oil industry is moving toward the development of green oil fields and digital oil fields, as well as the combination of oil extraction engineering and digitization and information technology, to solve practical engineering problems; this movement is important for the future development of the oil industry (Yue et al., 2021).