Kian Seng Lee, Xin Wei Yeap, Elaine Synn Yie Khoo, Yong Xian Lee, Shiuan Yong, Yi Han Hiew, Hafiz Maamor, Saifuddin Zulkaple
{"title":"Novel Application of AI: Harnessing Tacit Knowledge for LNG Plant Start-Up","authors":"Kian Seng Lee, Xin Wei Yeap, Elaine Synn Yie Khoo, Yong Xian Lee, Shiuan Yong, Yi Han Hiew, Hafiz Maamor, Saifuddin Zulkaple","doi":"10.2118/210674-ms","DOIUrl":null,"url":null,"abstract":"\n To capture the invaluable tacit knowledge from skilled operators and leverage on insights generated from over two decades of plant operation data, an AI-driven live advisory was developed to provide operators with real-time parameters control advisory during start-up, in response to actual process and equipment conditions. The solution had been deployed to ten start-ups in Malaysia LNG, successfully achieving 44% reduction in duration and 17% reduction in carbon emission from reduced gas usage. The shorter start-up duration translated into significant value creation from production opportunity, yielding an impressive return on investment of 35, in just 15 months. Furthermore, six of the start-ups also emerged as the top executions when benchmarked against all historical occurrences in the past two decades, demonstrating its ability to enable consistent and optimised start-ups.","PeriodicalId":151564,"journal":{"name":"Day 1 Mon, October 17, 2022","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 1 Mon, October 17, 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/210674-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To capture the invaluable tacit knowledge from skilled operators and leverage on insights generated from over two decades of plant operation data, an AI-driven live advisory was developed to provide operators with real-time parameters control advisory during start-up, in response to actual process and equipment conditions. The solution had been deployed to ten start-ups in Malaysia LNG, successfully achieving 44% reduction in duration and 17% reduction in carbon emission from reduced gas usage. The shorter start-up duration translated into significant value creation from production opportunity, yielding an impressive return on investment of 35, in just 15 months. Furthermore, six of the start-ups also emerged as the top executions when benchmarked against all historical occurrences in the past two decades, demonstrating its ability to enable consistent and optimised start-ups.