Research on Structural Design and Optimisation Analysis of a Downhole Multi-Parameter Real-Time Monitoring System for Intelligent Well Completion

Author:

Bi Gang12ORCID,Fu Shuaishuai1,Wang Jinlong3,Wu Jiemin4,Yuan Peijie1,Peng Xianbo1,Wang Min5,Gong Yongfeng6

Affiliation:

1. College of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, China

2. Shaanxi Key Laboratory of Well Stability and Fluid & Rock Mechanics in Oil and Gas Reservoirs, Xi’an Shiyou University, Xi’an 710065, China

3. Integrated Solution & New Energy, China Oilfield Services Limited, Tianjin 300459, China

4. Natural Gas Research Institute of Shaanxi Yanchang Petroleum (Group) Co., Ltd., Xi’an 710075, China

5. PetroChina Tarim Oilfield Company, Korla 841000, China

6. Department of Drilling and Production Engineering, Liaohe Oilfield, Panjin 124010, China

Abstract

In this paper, based on electro-hydraulic composite intelligent well-completion technology, a new type of downhole multi-parameter real-time monitoring system design scheme is established. Firstly, a multi-parameter real-time monitoring system with a special structure is designed; secondly, its reliability is analysed by applying the method of numerical simulation; finally, in order to verify the reliability of the simulation results, a principle prototype is developed, and indoor experimental tests of fluid flow are carried out. The experimental results show that the flow rate is directly proportional to the differential pressure, and when the flow rate is certain, the higher the water content, the higher the differential pressure. The indoor experimental flow rate of 400~1000 m3/d is measured with high accuracy, and the error range is within 5%. Numerical simulation and experimental results with a high degree of fit, a flow rate of 400–1000 m3/d, the two error range within 10%, the integrated flow coefficient of the experimental value is stable between 0.75–0.815, the simulation value is stable between 0.80–0.86. The mutual verification of the two shows that the flow monitoring design meets the requirements and provides a reference basis for the structural design of the intelligent, well-completion multi-parameter real-time monitoring system.

Funder

Foundation of Natural Science Foundation of Shaanxi Province

Postgraduate Innovation and Practice Ability Development Fund of Xi’an Shiyou University

National Natural Science Foundation

Publisher

MDPI AG

Reference36 articles.

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