USING ARTIFICIAL INTELLIGENCE METHODS TO PREVENT COMPLICATIONS IN WELL CONSTRUCTION

IF 0.1 Q4 GEOSCIENCES, MULTIDISCIPLINARY Proceedings of the Tula States University-Sciences of Earth Pub Date : 2021-01-01 DOI:10.46689/2218-5194-2021-4-1-132-144
A. Dmitrievsky, N. Eremin, A. Chernikov, L. Zinatullina
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引用次数: 1

Abstract

The article discusses the use of automated systems for preventing emergency situa-tions in the process of well construction using artificial intelligence methods to increase the productive time of well construction by reducing the loss of working time to eliminate compli-cations. Key words: problems and complications during drilling, emissions, gas and oil water showings, stuck, artificial neural networks, digitalization, drilling, well, field, oil and gas blockchain, artificial intelligence, machine learning methods, geological and technological research, neural network model, oil and gas construction wells, identification and forecasting of complications, prevention of emergency situations.
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利用人工智能方法预防造井并发症
本文讨论了利用人工智能方法在建井过程中预防紧急情况的自动化系统,通过减少工作时间的损失来消除复杂情况,从而提高建井的生产时间。关键词:钻井过程中的问题和并发症,排放,油气水显示,卡钻,人工神经网络,数字化,钻井,井,油田,油气bb0,人工智能,机器学习方法,地质与技术研究,神经网络模型,油气建设井,并发症识别与预测,应急情况预防。
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