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A research on remote fracturing monitoring and decision-making method supporting smart city

•Monitoring the position of the fracturing fluid was achieved by calculating the average velocity formula.•By fitting the weight function by the gradient descent method, the model of the unsteady resistance is established.•The pressure curve is optimized by OPTICS algorithm improved by the adjacency...

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Bibliographic Details
Published in:Sustainable cities and society 2020-11, Vol.62, p.102414, Article 102414
Main Authors: Liang, Haibo, Xian, Aohang, Mao, Min, Ni, Pengbo, Wu, Haosheng
Format: Article
Language:English
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Summary:•Monitoring the position of the fracturing fluid was achieved by calculating the average velocity formula.•By fitting the weight function by the gradient descent method, the model of the unsteady resistance is established.•The pressure curve is optimized by OPTICS algorithm improved by the adjacency list. Based on the investigation of the development of fracturing monitoring at home and abroad, this paper studies the mechanism of fracturing fluid injection and fractures monitoring, and puts forward a remote fracturing monitoring and decision-making method suitable for conventional wells. Firstly, combined with the dynamic monitoring model of fracturing fluid, many parameters are optimized and analyzed. The velocity monitoring of fracturing fluid is realized by constructing the average velocity formula of fracturing fluid, and its approximate position is calculated. After analyzing the limitations of traditional models, the monitoring model of the unsteady friction resistance is established by summarizing the existing models and fitting the weight function by the gradient descent method. In this paper, the relationship between the pressure-time curve and crack is studied. Then the pressure curve is optimized by OPTICS algorithm improved by the adjacency list, and conduct the unsupervised learning about the stress data. By using computers, the pressure data can be clustered automatically. The classification is rapid and more accurate than the manual classification, which improves the intelligence and accuracy of data analysis, and realizes more accurate and intuitive monitoring of fractures than before. At the same time, the relationship between the city and well sites is analyzed in this paper. Combined with WITS acquisition and industrial Internet technology, the real-time data of the well site is remotely transmitted to the headquarters, which makes it possible to monitor fracturing in the city far from the well site, so that the combination of city and industry is no longer restricted by geographical location. It is beneficial to give full play to the role of industry in promoting urban development and promote the sustainable development of the city. Surface monitoring instruments have been fully utilized by using this method. This method of remote monitoring of fracturing promotes the development of intelligent city and provides a method for builders to ensure the construction safe and to make abnormal early warning of on-site fracturing.
ISSN:2210-6707
2210-6715
DOI:10.1016/j.scs.2020.102414