Research on Online Monitoring System for Oil Formation Parameters

Wu Fan; Qizhi Zhang; Winhao Qin

doi:10.62051/ijnres.v4n1.04

Authors

Wu Fan
Qizhi Zhang
Winhao Qin

DOI:

https://doi.org/10.62051/ijnres.v4n1.04

Keywords:

Layered Oil Recovery, Moisture Content Sensors, One-Chip Computer, Signal Filtering.

Abstract

China is in the stage of rising water content in crude oil reservoirs, and the water content, temperature and pressure of the oil layer will have a significant impact on the efficiency of crude oil extraction. After adopting the layered injection technology, the contradiction between layers has been improved to a certain extent, but there are differences in the permeability of each oil layer, and the water injected into the oil layer with better permeability is single-layer surging, which leads to the increase of water content of the extracted fluid. Aiming at this problem, this study is devoted to designing a set of digital oil reservoir monitoring device, which can detect and analyze the water content, temperature and pressure parameters of each reservoir in real time, and then carry out systematic exploitation for different oil reservoir states. Through model simulation, hardware design, software development, and sensor production and improvement, a complete downhole oil formation structure model is built to simulate the real oil extraction process. The device utilizes electromagnetic conductivity method to design and produce a highly reliable water content sensor, combined with temperature and pressure sensors and filtering algorithms for parameter compensation, the measured data are collected and processed by microcontroller, and the interaction between microcontroller and host computer software is established by serial communication. PC adopts VOFA+ host computer to build a complete set of simulated oil extraction system with hand-automated integrated control and display interface.

References

[1] Jialiang Qian. Research on intelligent stratified test mining system [D]. Xi'an Petroleum University, 2017.

[2] Chen Xin. Application of embedded data acquisition system in oil and gas wells [D]. Northeast Petroleum University, 2016.

[3] Zhang Fan. Design and research of oil wellhead pressure and flow rate data acquisition system [D]. Northern Nationalities University, 2013.

[4] Huang Junchao. Non-contact electrical impedance detection and its application in the measurement of gas-liquid two-phase flow parameters [D]. Zhejiang University, 2020.

[5] Shi Yuhui. Experimental study of electromagnetic method for measuring the flow rate of high water-containing oil-water two-phase flow[J]. Experimental study of electromagnetic method for flow measurement of high water content oil-water two-phase flow[J]. 2011, 35(03): 206-209.

[6] XIA Minghua, ZHANG Jiangwei. Research progress and development trend of crude oil water content determination methods[J]. Chemical Management, 2014,(26): 161.

[7] Zeng H. Research on all-electric downhole formation fluid intelligent control device[D]. Xi'an Petroleum University, 2015.

[8] Sui Microwave, Zhang Shicheng. New progress on field application and theoretical modeling of downhole real-time temperature monitoring[J]. Logging Technology, 2011, 35(06):502-507.

[9] HE Daoqing, ZHANG He, CHEN Haiyun. Sensors and sensor technology[M]. Beijing:Science Press, 2014: 65-69.

[10] QU Yuan. Research on the measurement of water content of crude oil by electromagnetic conductivity method[D]. Shenyang University of Technology, 2013.

[11] Li Pengfei. Research on downhole flow control system for intelligent wells [D]. China University of Petroleum (East China), 2017.

[12] Gao Feiming,Xiao Guohua,Wang Jinzhong et al. Research and application of oil well layering test technology[J]. Petroleum Machinery, 2020, 48(07): 111-116.

[13] ZHAO Bufan,DI Weina,LI Jing. Fracturing fluid technology tracking and patent analysis[J]. Contemporary Chemical Industry, 2019, 48(02): 326-329.

[14] Hao Guangwei,Shao Yang,Lan Tianqing et al. Progress in the application of smart wells in oil and gas field development[J]. Contemporary Chemical Industry, 2019,48(08): 1759-1762.

[15] LAN Yu,BAI Jie. Design of temperature measurement system based on Pt100 sensor[J]. Mechanical and Electronic. 2013(10): 44-46.

[16] TIAN Ji. Research on gas-liquid two-phase flow measurement by long-throat venturi and near-infrared spectroscopy[D]. Hebei University. 2018.

[17] LI Qi-gui,DU Xuelin. Measurement of oil-water two-phase flow rate by differential pressure method[J]. Journal of Petrochemical Higher Education. 2015(02):1-28

[18] Chen D. Research on crude oil water content measurement based on BP neural network[D]. Shenyang University of Technology,2016.

[19] Zhai Yuanyi. Research on ultrasonic flow-pressure measurement method for hydraulic small pipe diameter [D]. Xihua University. 2016.

[20] HAN Hongjun. Research on the testing technology of complex dielectric constant of water-bearing crude oil [D]. Xi'an Petroleum University,2019.

[21] He GQ. Research on measurement technology of crude oil water content [D]. Xi'an Petroleum University,2017.

[22] Du Shengjie. Research on crude oil water content measurement system and temperature effect of high frequency electromagnetic method[D]. Xi'an Petroleum University,2020.

[23] Chang Li ,Zhang Biao. Treatment of primary induced electric potential of crude oil water content measurement by electromagnetic conductivity method[J]. Journal of Shenyang University of Technology,2017,39(05):518-523.

[24] Huang Junchao. Non-contact electrical impedance detection and its application in the measurement of gas-liquid two-phase flow parameters [D]. Zhejiang University, 2020.

[25] Xiang Hengfu, Sun Baojiang. Exploration of intelligent completion technology standard[J]. Drilling Process, 2017, 40(02): 52-55.