Research on the new path of oilfield oily wastewater treatment and resource utilization based on big data of internet of things

Research on the new path of oilfield oily wastewater treatment and resource utilization based on big data of internet of things

Crude oil

Big data

Oil fields

Wastewater treatment

Internet of things

In oil exploitation, we often improve oil recovery by water injection, which is also the main reason to increase the water content of crude oil. At present, the most important artificial water injection technology in China is based on reservoir geological data, which is a way of injecting high-pressure water or polymer to improve formation pressure. At the same time, water or polymer will be injected into the ground, and water and crude oil will be produced from the ground together, which requires us to separate oil and water. At the same time, oil-water separation will produce a large amount of Oily Wastewater (hereinafter referred to as OW), which requires enterprises to treat OW quickly and effectively. Therefore, this paper first analyzes the classification of OW. In view of the common treatment methods, this paper carries out the treatment method of oil slick wastewater, which is also the main technology of water flooding to achieve large-scale oil production. With the popularity of computers, IOT has been applied to many fields, which is also applied to the treatment of oilfield OW. Through the various monitoring data, we can monitor the processing effect. This paper also analyzes the treatment process. Published under licence by IOP Publishing Ltd.

1915

Guo, Shijun

Wei, Lixin

Li, Hanbei

2021 International Conference on Information Systems and Computer Engineering, ISCE 2021, March 29, 2021 - March 30, 2021

2021

conferencePaper

17426588

10.1088/1742-6596/1915/2/022087