BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:16011104T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010311T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CLASS:PUBLIC CREATED:20260730T143239Z DESCRIPTION:Description:\nHunt LNG\, a Peruvian company and operator of the PERU LNG Project\, is transforming reliability by using AI and machine le arning to turn operational data into actionable decisions. To strengthen a sset availability and operational resilience\, the company has deployed ma chine learning across critical assets—including turbo compressors\, gas turbine generators and a cryogenic heat exchanger—to detect and diagnose anomalies before they become operational failures.\nIn this webinar\, Hun t LNG will share its journey toward predictive reliability\, highlighting how they combine AI\, engineering expertise and structured workflows to id entify emerging risks early and improve maintenance decision-making. Atten dees will also hear a real-world case study demonstrating how early anomal y detection enabled targeted intervention before operational impact.\n \nS ign up now to: \n* Learn how Hunt LNG is turning operational data into AI- driven maintenance action\n* Explore a real-world LNG reliability transfor mation and the lessons learned\n* Discover how AI can help identify equipm ent risks before they affect production\n* See how a proactive reliability strategy supports stronger business outcomes\n \nJoin this webinar to hea r how Hunt LNG is building a predictive reliability culture\, strengthenin g operational resilience and creating a foundation for the future of AI-dr iven reliability in LNG operations.\n \nInstructions:\n1) Soon\, you will receive a confirmation email from messenger@webex.com with your login instructions. Please be sure to copy your webi nar login instructions into this Outlook invitation. If you do not receive this confirmation email please check your junk email folder. If you still cannot find the email with your webinar login instructions\, then send an email to Jacqueline.bredee@emerson.com \n2) You will receive webinar reminders from messenger@webex.com prior to the start of this webinar. These remin der emails will also contain your webinar login instructions.\n3) To atten d the webinar\, please login with the name and email address that you used when registering for the webinar. \n \n DTEND;TZID="Eastern Standard Time":20260917T110000 DTSTAMP:20260730T143239Z DTSTART;TZID="Eastern Standard Time":20260917T100000 LAST-MODIFIED:20260730T143239Z LOCATION:Webex: Please look for a separate email from Webex PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-us:[Webinar] From Data to Proactive Action: Hunt LNG's AI-Driven Reliability Transformation TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000D06FF19FFD1FDD01000000000000000 0100000007EF65E06EB8D0D45A72B3DCB7CBAFB93 X-ALT-DESC;FMTTYPE=text/html:

Description:

Hunt LNG\, a Peruvian company and operat or of the PERU LNG Project\, is transforming reliability by using AI and m achine learning to turn operational data into actionable decisions. To str engthen asset availability and operational resilience\, the company has de ployed machine learning across critical assets—\;including turbo comp ressors\, gas turbine generators and a cryogenic heat exchanger—\;to detect and diagnose anomalies before they become operational failures.

In this webinar\, Hunt LNG will share its journey towar d predictive reliability\, highlighting how they combine AI\, engineering expertise and structured workflows to identify em erging risks early and improve maintenance decision-making. Attendees will also hear a real-world case study demonstrating how early anomaly detecti on enabled targeted intervention before operational impact.

\;

Sign up now to:

Le arn how Hunt LNG is turning operational data into AI-driven maintenance ac tion
Explore a real-world LNG reliability t ransformation and the lessons learned
Disco ver how AI can help identify equipment risks before they affect production
See how a proactive reliability strategy s upports stronger business outcomes

\ ;

Join t his webinar to hear how Hunt LNG is building a predictive reliability cult ure\, strengthening operational resilience and cr eating a foundation for the future of AI-driven reliability in LNG operati ons.

\;

Instructions:

< p class=elementtoproof style='mso-margin-top-alt:0in\;margin-right:0in\;ma rgin-bottom:0in\;margin-left:.75in\;text-indent:-.25in'>1) \; Soon\, you will receive a confirmatio n email from messenger@webex.com \; with your login instructi ons. Please be sure to copy your webinar login instructions into this Outl ook invitation. If you do not receive this confirmation email \;please check your junk email folder. If you still canno t find the email with your webinar login instructions\, then send an email to Jacqueline.bredee@emerson.com

2) You will re ceive webinar reminders from messenger@webex.com \; prior to the start of this webinar. These reminder emails will also contain your we binar login instructions.

3) To attend the webinar\, please login w ith the name and email address that you used when registering for the webi nar.

\;

X-MICROSOFT-CDO-BUSYSTATUS:BUSY X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-DISALLOW-COUNTER:FALSE X-MS-OLK-AUTOFILLLOCATION:FALSE X-MS-OLK-CONFTYPE:0 BEGIN:VALARM TRIGGER:-PT15M ACTION:DISPLAY DESCRIPTION:Reminder END:VALARM END:VEVENT END:VCALENDAR