俄罗斯油气田钻井与建井智能化技术

D. Filippova, E. Safarova, V. Stolyarov, N. Eremin
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引用次数: 0

摘要

所实施方案的新颖之处在于,基于建模算法的应用改进了钻井技术,并基于人工神经网络模型找到最优的网络配置,进行可靠的预测。没有全面的自动化,就不可能减少人员的作用,这意味着部分钻井过程和下降作业技术的自动化。提出的地理分布式智能监控和管理系统的概念,由于施工过程的信息支持,可以很容易地适应紧急情况下的各种工艺过程。与传统的偏远油田钻井、施工和作业技术相比,这些技术的引入降低了运营成本,使油气产量增加了约10%,并将井停工期减少了至少50%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Technology for Drilling and Well Construction in Russian Oil and Gas Fields
Summary The novelty of the implemented solutions lies in the improvement of drilling technologies based on the application of modeling algorithms and finding the optimal network configuration to perform a reliable forecast based on the artificial neural network model. Without comprehensive automation, it is impossible to reduce the role of personnel, which implies the robotization of part of the drilling process and technologies of descent operations. The presented concept of a geographically distributed system of intelligent monitoring and management is easily adaptable to various technological processes when working in emergency situations due to information support of construction processes. The introduction of technologies provides a reduction in operating costs, an increase in gas and oil production of about 10% and a reduction in well downtime of at least 50 % from the classic technologies of drilling, construction and operation in remote fields.
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