{"title":"基于逻辑推理规则的颗粒钻井应急决策系统研究","authors":"Lei Li, Weicheng Li, Xiaolin Zhang","doi":"10.1145/3395260.3395302","DOIUrl":null,"url":null,"abstract":"Emergency decision is the core module of intelligent monitoring system, which is related to the reliability and stability of system operation. But, the fault types are too numerous to be fully identified in advance. So, the emergency decision-making module needs to have the function of automatically generating disposal capacity. Taking the particle impact drilling system as an example, its whole technological process was divided into 16 independent sub-processes in the article, and parameterized the sub-process state by the state determination rules. Different fault states could be represented by the fusion inference of different sub-process parameter values. Combined with the combined-invocation of sub-processes, the all required conditions can be realized to meet the emergency demand of different fault states. Through the test of zuan-shi 1 well, the monitoring system can realize automatic emergency disposal under complex conditions, that providing useful reference for the similar systems development.","PeriodicalId":103490,"journal":{"name":"Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research of particle drilling emergency decision system based on logical reasoning rule\",\"authors\":\"Lei Li, Weicheng Li, Xiaolin Zhang\",\"doi\":\"10.1145/3395260.3395302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Emergency decision is the core module of intelligent monitoring system, which is related to the reliability and stability of system operation. But, the fault types are too numerous to be fully identified in advance. So, the emergency decision-making module needs to have the function of automatically generating disposal capacity. Taking the particle impact drilling system as an example, its whole technological process was divided into 16 independent sub-processes in the article, and parameterized the sub-process state by the state determination rules. Different fault states could be represented by the fusion inference of different sub-process parameter values. Combined with the combined-invocation of sub-processes, the all required conditions can be realized to meet the emergency demand of different fault states. Through the test of zuan-shi 1 well, the monitoring system can realize automatic emergency disposal under complex conditions, that providing useful reference for the similar systems development.\",\"PeriodicalId\":103490,\"journal\":{\"name\":\"Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3395260.3395302\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3395260.3395302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of particle drilling emergency decision system based on logical reasoning rule
Emergency decision is the core module of intelligent monitoring system, which is related to the reliability and stability of system operation. But, the fault types are too numerous to be fully identified in advance. So, the emergency decision-making module needs to have the function of automatically generating disposal capacity. Taking the particle impact drilling system as an example, its whole technological process was divided into 16 independent sub-processes in the article, and parameterized the sub-process state by the state determination rules. Different fault states could be represented by the fusion inference of different sub-process parameter values. Combined with the combined-invocation of sub-processes, the all required conditions can be realized to meet the emergency demand of different fault states. Through the test of zuan-shi 1 well, the monitoring system can realize automatic emergency disposal under complex conditions, that providing useful reference for the similar systems development.