A. Dmitrievsky, N. Eremin, A. Chernikov, L. Zinatullina
{"title":"利用人工智能方法预防造井并发症","authors":"A. Dmitrievsky, N. Eremin, A. Chernikov, L. Zinatullina","doi":"10.46689/2218-5194-2021-4-1-132-144","DOIUrl":null,"url":null,"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.","PeriodicalId":41869,"journal":{"name":"Proceedings of the Tula States University-Sciences of Earth","volume":"1 1","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"USING ARTIFICIAL INTELLIGENCE METHODS TO PREVENT COMPLICATIONS IN WELL CONSTRUCTION\",\"authors\":\"A. Dmitrievsky, N. Eremin, A. Chernikov, L. Zinatullina\",\"doi\":\"10.46689/2218-5194-2021-4-1-132-144\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":41869,\"journal\":{\"name\":\"Proceedings of the Tula States University-Sciences of Earth\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Tula States University-Sciences of Earth\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46689/2218-5194-2021-4-1-132-144\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Tula States University-Sciences of Earth","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46689/2218-5194-2021-4-1-132-144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
USING ARTIFICIAL INTELLIGENCE METHODS TO PREVENT COMPLICATIONS IN WELL CONSTRUCTION
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.