Houston Summit

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Seeq Summit Houston February 20th, 2025

Exclusive Summit Sponsor

What’s New with Seeq Supercharging Industrial Enterprise Monitoring (IEM)

Seeq Platform Evolution Timeline

2013

2025

Industrial time series data is an untapped gold mine if the right analytics concepts were invented

Seeq Workbench launches as a first-of-its-kind self-service time series analytics application

Analytics work naturally benefits from collaboration, knowledge capture, reporting and dashboards

Seeq Organizer launches as a companion application for sharing and collaborating on analytics insights

Data Scientists and Operations Engineers need a much easier way to collaborate

Seeq Data Lab launches to enable the Python-oriented data science community in industrial scenarios

Scientists and engineers are processing immense amounts of data with Seeq, and it’s only going to grow

Seeq Cortex platform now leverages cloud technologies to horizontally scale computation

Seeq Vantage offers a collaboration epicenter for exception-based action, at scale

Monitoring hundreds of thousands of assets would increase production and decrease waste

Seeq launches the AI Assistant and develops premium AI Agents to provide industrial insights from data

AI can mine time series data, Seeq conditions, workbooks, journals, Organizer topics for insights

Supercharging Industrial Enterprise Monitoring

• Detect -> Scale -> Monitor & Action • Detect Anomalies with ML Tools in Workbench • Scale without Seeq Data Lab • Monitor and Action in Vantage

• Level Up with AI Agents • Actions Agent • Journal/Organizer Agent • Vantage Agent

• Usage and Value Capture • Granular insights on usage via Champion Dashboard • Capture use cases and Value in Product with Impact Reports

Industrial Enterprise Monitoring

Scale Across AssetsSelf-Service Analytics Operationalize

Condition Monitoring

TriageInvestigate

Continuous Improvement

Subject matter experts empowered to drive continuous improvement across the entire industrial enterprise

ML for All – Hybrid Analytics

Empowering SMEs with Hybrid Analytics • Designed for subject matter experts (SMEs) to apply ML without coding. • Enables a hybrid approach, combining first-principles knowledge with

ML techniques. • Helps teams move at the speed of thought, quickly testing and iterating

on insights.

Three Built-in ML Tools for No-Code Analysis 1. Isolation Forest – Detect anomalies in time-series data. 2. Partial Least Squares (PLS) – Model complex relationships between

variables. 3. Self-Organizing Maps (SOMs) – Uncover hidden patterns in process data.

Start with built-in ML, scale as needed – a launchpad for deeper ML adoption.

ML for All – Hybrid Analytics

• Anomaly Detection & Prediction

• Fully Self Service • Rapid deployment

and iteration directly in Workbench

Seeq Integration for RT Scoring

Roadmap: Supporting Hybrid Analytics in Seeq

Add On Calculation Connector

Azure ML support

Native support for Sagemaker

Native support for Databricks Model Serving

Upload ONNX model to Seeq

ML Model management via ML Ops PipelinesExternal ML

Models in Seeq

Seeq Provided ML Tools

Self organizing maps (SOM)

Isolation Forest

Partial Least Squares

PCA

Batch ML with Seeq

Scale without Python

• Objectives: • Easily scale from 1 to thousands • No Python knowledge required • Handle asymmetries, missing tags, etc • Accelerate creation of data hierarchies and metadata for Vantage consumption

• Use Cases:

• Equipment Health Monitoring • Anomaly Detection • Operating Envelope Management

Unorganized Data

Tag Asset Sub-Asset Measurement

72fi2742.pv P101 Pump Flow

72pi2741.pv P101 Pump Pressure

72.ii1244 P101 Motor Current

PMP2_flow P201 Pump Flow

… … … …

Criticality Segment …

P101 1 Pipeline A

P201 3 Pipeline A

… … ..

Define asset relationships and assign Metadata

72.ii1244

Categorize raw tags

PMP2_flo w

No Code Scaling – Organize and Contextualize

Rule based calculations with fallbacks

Calculation Inputs (Tags, Limits, Models)

Equipment Status Detector

Fixed Limit Detector

ML Detector ...

P101 Pump …

P101 Motor …

P201 Pump …

…

1. status = “off” - fallback -

2. Motor current < limit - fallback -

3. flow < limit …

No Code Scaling - Deploy and Sustain Calculations at Scale

Monitor & Action – Vantage Evolution

Vantage - Rooms

• Create Monitoring & Triaging centers

• Manage who can view/edit with Access Control

Vantage - Streamlined Configuration

• Easily configure what Conditions to bring into Vantage

• Inclusion and exclusion criteria

• Lookback and scheduling interface

Level up with AI Agents

Continuous Learning,

Lasting Value

Complexity Scaled Simply

A Holistic, Human- centered Workflow

INDUSTRIAL ENTERPRISE

MONITORING

INDUSTRIAL ANALYTICS

AND AI

Actions Agent

Let Seeq do the heavy lifting – agents can create calculations, add tags, and format trends

Journal/Organizer Agent An agent to write Journal entries based on your Seeq calculation hierarchy

Premium AI Agent Empower subject matter experts with a safe and secure second opinion that is familiar with

their specific system, data and team context.

Insight on Usage and Value Capture

Usage – Champion Dashboard Add-on

Use Case and Value Capture - Impact Reports

AI Summary for Impact Reporting

Availability

• Vantage Rooms – Now* • Champion Dashboard – Now • Impact Reports – Now (⚑) • Hybrid Analytics with ML – Now (⚑) • Actions, Journal, Organizer Assistant – Now

• Premium AI – 2H2025* • No code scaling – 2H2025 (lighthouse, license TBA)

* License Required

Customer Story: Cheniere Fixing Bad Data to Improve Exchanger Maintenance Predictions Mark Covington Senior Staff Engineer, Process

Cheniere Energy, Inc. Seeq Houston Summit

Feb 2025

Forward-Looking Statements

This presentation contains certain statements that are, or may be deemed to be, “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E

of the Securities Exchange Act of 1934, as amended. All statements, other than statements of historical or present facts or conditions, included or incorporated by reference herein are “forward-looking

statements.” Included among “forward-looking statements” are, among other things:

• statements regarding the ability of Cheniere Energy Partners, L.P. to pay or increase distributions to its

unitholders or Cheniere Energy, Inc. to pay or increase dividends to its shareholders or participate in share or unit buybacks;

• statements regarding Cheniere Energy, Inc.’s or Cheniere Energy Partners, L.P.’s expected receipt of cash distributions from their respective subsidiaries;

• statements that Cheniere Energy Partners, L.P. expects to commence or complete construction of its proposed liquefied natural gas (“LNG”) terminals, liquefaction facilities, pipeline facilities or other

projects, or any expansions or portions thereof, by certain dates or at all;

• statements that Cheniere Energy, Inc. expects to commence or complete construction of its proposed LNG terminals, liquefaction facilities, pipeline facilities or other projects, or any expansions or portions thereof, by certain dates or at all;

• statements regarding future levels of domestic and international natural gas production, supply or consumption or future levels of LNG imports into or exports from North America and other countries

worldwide, or purchases of natural gas, regardless of the source of such information, or the transportation or other infrastructure, or demand for and prices related to natural gas, LNG or other

hydrocarbon products;

• statements regarding any financing transactions or arrangements, or ability to enter into such

transactions;

• statements relating to Cheniere’s capital deployment, including intent, ability, extent, and timing of capital expenditures, debt repayment, dividends, share repurchases and execution on the capital allocation plan;

• statements regarding our future sources of liquidity and cash requirements;

• statements relating to the construction of our proposed liquefaction facilities and natural gas liquefaction trains (“Trains”) and the construction of our pipelines, including statements concerning the

engagement of any engineering, procurement and construction ("EPC") contractor or other contractor and the anticipated terms and provisions of any agreement with any EPC or other contractor, and anticipated costs related thereto;

• statements regarding any agreement to be entered into or performed substantially in the future,

including any revenues anticipated to be received and the anticipated timing thereof, and statements regarding the amounts of total LNG regasification, natural gas, liquefaction or storage capacities that are, or may become, subject to contracts;

• statements regarding counterparties to our commercial contracts, construction contracts and other contracts;

• statements regarding our planned development and construction of additional Trains or pipelines, including the financing of such Trains or pipelines;

• statements that our Trains, when completed, will have certain characteristics, including amounts of liquefaction capacities;

• statements regarding our business strategy, our strengths, our business and operation plans or any other plans, forecasts, projections or objectives, including anticipated revenues, capital expenditures, maintenance and operating

costs, free cash flow, run rate SG&A estimates, cash flows, EBITDA, Consolidated Adjusted EBITDA, distributable cash flow, distributable cash flow per share and unit, deconsolidated debt outstanding, and deconsolidated contracted

EBITDA, any or all of which are subject to change;

• statements regarding projections of revenues, expenses, earnings or losses, working capital or other financial items;

• statements relating to our goals, commitments and strategies in relation to environmental matters;

• statements regarding legislative, governmental, regulatory, administrative or other public body actions, approvals, requirements, permits, applications, filings, investigations, proceedings or decisions;

• statements regarding our anticipated LNG and natural gas marketing activities; and

• any other statements that relate to non-historical or future information.

These forward-looking statements are often identified by the use of terms and phrases such as “achieve,” “anticipate,” “believe,” “contemplate,” “continue,” “could,” “develop,” “estimate,” “example,” “expect,” “forecast,” “goals,” ”guidance,”

“intend,” “may,” “opportunities,” “plan,” “potential,” “predict,” “project,” “propose,” “pursue,” “should,” “subject to,” “strategy,” “target,” “will,” and similar terms and phrases, or by use of future tense. Although we believe that the

expectations reflected in these forward-looking statements are reasonable, they do involve assumptions, risks and uncertainties, and these expectations may prove to be incorrect. You should not place undue reliance on these forward- looking statements, which speak only as of the date of this presentation. Our actual results could differ materially from

those anticipated in these forward-looking statements as a result of a variety of factors, including those discussed in “Risk Factors” in the Cheniere Energy, Inc. and Cheniere Energy Partners, L.P. Annual Reports on Form 10-K filed with the

SEC on February 20, 2025, which are incorporated by reference into this presentation. All forward-looking statements attributable to us or persons acting on our behalf are expressly qualified in their entirety by these ”Risk Factors.” These forward-looking statements are made as of the date of this presentation, and other than as required by law, we

undertake no obligation to update or revise any forward-looking statement or provide reasons why actual results may differ, whether as a result of new information, future events or otherwise.

Safe Harbor Statements

Cheniere: Market-Leading LNG Platform with Global Scale

#2 SECOND LARGEST LIQUEFACTION

PLATFORM GLOBALLY

~3,720 CARGOES EXPORTED FROM

CHENIERE PROJECTS

#200 2024 Fortune 500

~8% OF US NATURAL GAS PRODUCTION

PROCESSED DAILY AT SPL & CCL

~$45B INVESTMENT IN

INFRASTRUCTURE1

11%+ OF GLOBAL LIQUEFACTION

CAPACITY

Sabine Pass Liquefaction ~30 mtpa Total Production Capacity

Corpus Christi Liquefaction ~25+ mtpa Total Production Capacity1

>30 Creditworthy Counterparties Across the Globe

40 COUNTRIES & REGIONS

DELIVERED TO FROM CHENIERE

Leading EPC and Infrastructure Providers

Note: Cargo count as of October 25, 2024.

(1) Includes 10+ mtpa under construction for CCL Stage 3. 32

#1 LNG PROVIDER TO EUROPE

IN 2022 & 2023

Fixing Bad Data to Improve Exchanger Maintenance Predictions

SEEQ Summit Houston Presentation3 4

Monitor Exchanger Blockage

SEEQ Summit Houston Presentation3 5

Ops Question

Minor outage this year on an adjacent unit.

Major outage planned next year to clean exchanger and replace filter elements.

If exchanger blockage is too high in between, results in lost production / $$$.

Do we replace the filter elements now?

1. Replace filter elements now, extends the minor outage by 3 days ($$$)

2. Wait until major outage next year.

SEEQ Summit Houston Presentation3 6

How to Measure Blockage?

Exchanger DP

SEEQ Summit Houston Presentation3 7

Normalized DP

Adjust Datasheet Pressure, Temperature, and Flow to actual conditions and estimate a “Clean DP”.

Normalized DP = Actual DP / Clean DP for the current process conditions.

1.0 = Clean

2.0 = DP is 2x

Allows exchanger monitoring over a wide range of conditions.

SEEQ Summit Houston Presentation3 8

How to Measure Blockage?

Three year Exchanger Normalized DP

SEEQ Summit Houston Presentation3 9

Bypass Flow Meter Out of Range

SEEQ Summit Houston Presentation4 0

Use Control Valve %Open to Estimate Flowrate

Add prediction curve to estimate flowrates for upper end of range. SEEQ Polynomial Prediction gives the coefficients Flow = A*(%Open)^2 + B*(%Open) + C

SEEQ Summit Houston Presentation4 1

Corrected Normalized DP

Remove the periods with bad data, splice in the corrected flows and apply smoothing.

Exchanger is cleaning out, therefore defer the filter changeout.

Thank you

Questions?

Customer Story: Indorama Process Fouling: Identification, Prediction, & Notification Nathan House Process Engineer

Process Fouling: Identification, Prediction, & Notification By Nathan House, Ethylene Oxides & Ethylene Glycol Process Engineer

Indorama| Port Neches Site Indovinya Segment

Kim Hoyt PNO Site Head

About Us: Port Neches, is 3,000-acre flagship site on the U.S. Gulf Coast specializes in producing oxides and derivatives for industries such as electronics, beauty & personal care, solvents, resin intermediates, stabilizers, energy & construction.

Agenda Process Fouling: Identification, Prediction, & Notification

20 mins ppt – emphasizing

XXXX

1. Overview 2. What was the Problem 3. Fouling Analysis & Outage Scope Setting 4. Why use Seeq 5. Outage results 6. Fouling Notifications 7. Site Seeq Rollout 8. Q&A

Note: 3 Part Investigation Fouling Analysis & Outage Scope Setting to test and resolve the issue

Unit 1 reactor & recovery

system

Unit 2 reactor & recovery

system

Unit 3 reactor & recovery

system

Unit 2 purification

section

Unit 1 purification

section

Raw Materials

Glycol/ Water Tank

Glycol & Water

Glycol Reaction

Unit

Glycol separation

Units

Pure EO storage

Pure EO

Ethoxylation Unit

Aqueous EO

Ethylene Glycols

Overall Timeline

2023

Problem Identified |

Part 1

Nov Dec

Issue Noticed & Investigation began

Analysis Determined to be Fouling

Seeq – Identify what is currently fouled and set scope

What was the problem?

Reboiler Analysis (Initial Findings) Quick & repeatable identification of fouling for troubleshooting and setting mitigation scope

Tower 6 Reboiler

Tower 5 Reboiler

Tower 4 Reboiler

Tower 3 Reboiler

Tower 1 Reboiler

Tower 2 Reboiler

Overhead Flowrate [gpm] Vs Condensate Valve Output [%]

Reboiler Analysis (Initial Findings) Quick & repeatable identification of fouling for troubleshooting and setting mitigation scope

Overhead Flowrate [gpm] Vs Condensate Valve Output [%]

Tower 4 Reboiler

Feed

Steam

Condensate Valve Output

Pre-heater

Overhead Flow

TC*

Tower 6 Reboiler

Tower 5 Reboiler

Tower 4 Reboiler

Tower 3 Reboiler

Tower 2 Reboiler

Tower 1 ReboilerReboiler Analysis (Initial Findings) Quick & repeatable identification of fouling for troubleshooting and setting mitigation scope

Overhead Flowrate [gpm] Vs Condensate Valve Output [%]

Reboiler Analysis Why use Seeq?

XXXX

The Difference in Value: Deeper insights in a fraction of the time. Lean Manufacturing applied to Data Analytics

2024

Problem Identified |

Part 1

Initial Findings | Part 2

Resolution | Part 3

Nov Jan Mar May Jul Sep Nov

Root cause investigation – found smoking gun

1st Outage | Quick line Cleaning

2nd Outage | Partially Successful cleaning, sampling, & Improved Operation

Overall Timeline

Data Insights

2023

Issue Noticed & Investigation began

Analysis Determined to be Fouling

Seeq – Identify what is currently fouled and set scope

Tower 6 Reboiler

Tower 5 Reboiler

Tower 4 Reboiler

Tower 3 Reboiler

Tower 1 Reboiler

Tower 2 Reboiler

Reboiler Analysis (Post 2nd Outage) Quick & repeatable identification of fouling for troubleshooting and setting mitigation scope

Overhead Flowrate [gpm] Vs Condensate Valve Output [%]

2024

Problem Identified |

Part 1

Initial Findings | Part 2

Resolution | Part 3

Nov Jan Mar May Jul Sep Nov

Root cause investigation – found smoking gun (red herring)

1st Outage | Quick line Cleaning

2nd Outage | partially successful cleaning, sampling, & Improved Operation

Fouling Returned | Seeq: Monitored / Predicted time to rate limiting

2nd outage sample results (found the true root cause)

Set outage scope

3rd Outage - Cleaned system & fixed root cause

Overall Timeline

Data Insights

2023

Issue Noticed & Investigation began

Analysis Determined to be Fouling

Seeq – Identify what is currently fouled and set scope

Tower 6 Reboiler

Tower 5 Reboiler

Tower 4 Reboiler

Tower 3 Reboiler

Tower 1 Reboiler

Tower 2 Reboiler

Reboiler Analysis (Post 3rd Outage) Quick & repeatable identification of fouling for troubleshooting and setting mitigation scope

Overhead Flowrate [gpm] Vs Condensate Valve Output [%]

Long Term Monitoring Setting alerts for future fouling to catch it early

• Made a linear regression based on the Post 3rd Outage data capsule

• Created a weekly average deviation from the run-line signal

• Added an email alert if weekly avg. deviation >8 GPM

Seeq Implementation at Indorama From Access to Value

Seeq Champion Rollout: Q1 2024 • Reboiler & Valve Analysis (Seeq Foundations Training) • Fouling Notifications (Seeq Advanced Training)

Site Seeq Adoption: • Site Adoption Goals set by leadership • Champions to show use and assist in implementation • Digital and In-person Foundations Training • Bi-weekly site engineering Seeq project Idea/Project Meetings

Questions? Contact: nathan.house@us.Indorama.net

This presentation and its content (“Material”) is proprietary to Indorama Ventures Public Company Limited (“Indorama Ventures”) and/or its affiliates (collectively, the “Group”) and may not be, in whole or in part, reproduced or disclosed, published, distributed or released to any other person or to the public domain unless the prior written consent from the Group is obtained. In addition, this Material may only be used for the purpose expressly stated herein by Indorama Ventures and may not be used for any other purposes. No representation or warranty or undertaking, express or implied, is made by the Group as to the accuracy or completeness of the information set forth herein and neither Indorama Ventures nor the Group (or any representatives including, without limitation, its and their directors, shareholders, officers, employees, agents (“Representatives”) assume any responsibility whatsoever related hereto. In addition, this Material may contain “forward-looking” statements of the Group that relate to future events including, without limitation the conditions and prospects of the specific industry and the macro economics as a whole which are, by their nature, subject to significant risks and uncertainties. All statements, including, without limitation, those regarding the future financial position and results of operations, strategy, plans, objectives, goals and targets, future developments in the markets where the Group participates or is seeking to participate and any statements preceded by, followed by or that include the words “target”, “believe”, “expect”, “aim”, “intend”, “will”, “may”, “anticipate”, “would”, “plan”, “could”, “should, “predict”, “project”, “estimate”, “foresee”, “forecast”, “seek” or similar words or expressions are forward-looking statements. Such forward-looking statements involve known and unknown risks, uncertainties and other important factors beyond the Group control that could cause the actual results, performance or achievements of the Group to be materially different from the future results, performance or achievements expressed or implied by such forward-looking statements. These forward-looking statements are based on numerous assumptions regarding the Group present and future business strategies and the environment in which the Group will operate in the future and are not a guarantee of future performance. Such forward-looking statements speak only as at the date of this presentation, and neither Indorama Ventures nor the Group assume any duty or obligation to supplement, amend, update or revise any such statements. In addition, neither Indorama Ventures nor the Group hereby make any representation, warranty or prediction that the results anticipated by such forward-looking statements will be achieved. As such, no information contained herein may be relied upon as a promise or presentation as to the past, present or future of Indorama Ventures or the Group and use of this Material therefore is subject to informed assessment and independent evaluation of the person to which this Material is disclosed. Further, the receipt of this Material shall not be taken to constitute the giving of investment advice by any of Indorama Ventures or the Group (and/or their respective Representatives) nor render the recipient a client of any such persons for the purpose of any applicable rules or regulations governing investment business or otherwise.

Disclaimer

See you back at 2:50!

Break

6161

Share Your Feedback & Get Rewarded!

Scan the QR code and leave a review on G2 to share your experience!

As a thank you, each reviewer will receive a $50 gift card.

Your feedback helps improve and grow Seeq—so take a moment to review, scan now, and claim your reward!

Sponsor Highlight: BKO AI Optimize Maintenance Strategies for Fixed Equipment Using Seeq Ziad Katrib, COO & Rimon Chemail, Process Analytics Engineer

Optimize Maintenance Strategies for

Fixed Equipment using Seeq

Shaun Wright, M.Sc. CEO, Co-founder Houston, TX shaun@bkoai.com

Rimon Chemali, M.Sc. Process Analytics Engineer Houston, TX rimon@bkoai.com

Ziad Katrib, M.Sc. COO, Co-founder Houston, TX ziad@bkoai.com

Who is BKOai?

•Partners: Seeq Integration Partner, AVEVA Certified Partner, IOTA and DataBricks.

•SME’s: M.Sc’s and PHD’s in Chemical, Mechanical, Electrical and AI/Software Engineers.

•Demonstrated skills in Data Engineering, Analytics and Machine Learning.

• 11 Seeq Analytics Engineers and 5 Certified Seeq Instructors

• Presence in major domestic/international O&G, power gen and manufacturing companies.

Services/Expertise:

•Equipment & real-time data analytics.

•Digital solutions, Digital Twins & enabling technologies

•Knowledge graphs

•Data Historians, architecture and Data Lifecycle Mgmt

•Scalable machine learning solutions with Azure ML & Databricks.

Products:

•Common Model: Integration, scalability and single source of truth.

•Combined Cycle Digital Twin: AI for power generation optimization

Use Case: What are safety check valves? Why should we inspect them?

• Unique component of a process • Prevent reverse flow in pipes • Their nature is a process safeguard (not a process

design feature) • “Causation” of a reverse flow? • Pressure buildup leads to wear-tear • Standard practice during process hazard analysis is to

assume check valves fail • Why inspect them?

• Safety • Avoid process/equipment shutdowns • Reliable and conserve quality

Thanks!

Come chat with any of the five BKO engineers here at the show!

Or follow-up with us: info@bkoai.com +281-221-2836 www.bkoai.com

mailto:info@bkoai.com

Customer Story: Chevron Removing Friction and Expanding Capability for Analytics Ivan Berry Process Analytics Engineer

Seeq Houston Summit 2025

Ivan Berry

Capture requirements

from Engineers

Challenges: fragile infrastructure computation limits, back casting complexity, larger teams, no version control, poor apis….

A Developer codes the

analytics

Project Manager

Manage scope and

resources for a one

month project.

Deployment is

complicated, and

scaling requires careful

planning

15 years ago, this was the process for capturing deep water well pressure build up trends.

For each well, capture shut-in, analyze subset of data to extract performance indicators about the well.

2005 2015 2025

ProcessBook/Excel

VBA

C Code with PI API

Simple Asset Models

SEEQ & SEEQ Datalab

Amazing Python

Libraries

Gen AI

PI AF + PI

Analytics

C#/Matlab + AF SDK

Excel VBA

Tools

Expanding Capability: From Simple Monitoring to

Large Scale Optimization

Analyzing valves in a critical service on a Pressure

Swing Adsorber used to purify hydrogen.

60 Vessels, 150+ Valves, switching approximately

every minute.

If valves fail unexpectedly, the unit can be tripped

offline.

Tail Gas Impurities (+H2) Low Pressure

Hydrogen Product H2 (up to 99.9999 mole% purity) High Pressure

Feed Gas H2 + Impurities High Pressure

Example: Analytics for Valve Failure

LNG Site

Refining Site

Headquarters

Offshore Production

Support and SME

Onshore Production

It’s hard to

work across

timezones with

I don’t have

access to that

datasource

We have too

many assets

to analyze

I’m not sure

about access

to my data

SO MANY

SHEETS!

Friction Then: Collaboration Barriers

Friction Now: Removing Collaboration Barriers

LNG Site

Refining Site

Headquarters

Offshore Production

Support and SME

Onshore Production

Collaborate

async with

journals

We have an

asset model to

scale

I understand

who can

access

Need help with

this analysis

• Removing friction accelerates collaboration and reduces team size, allows you to deliver results quickly

• Work on the same analytics at the same time with Seeq • Not wasting time connecting to many data sources, access data from anywhere • Simple Deployment of Analytics, fast turnaround builds confidence!

• Embracing complexity enables bigger, more impactful projects. The time series data from Seeq is now “Table Stakes”

• Focus on integrating disconnected data • Improving data quality and structure • Integrating ML and AI Tools into workflows

Conclusion – Riding the Rising Tide

John Geraci VP of Sales - Americas

Closing

Thank You!

Exclusive Summit Sponsor

Conneqt 2025 May 13-15

Fontainebleau Las Vegas

7878

Share Your Feedback & Get Rewarded!

Scan the QR code and leave a review on G2 to share your experience!

As a thank you, each reviewer will receive a $50 gift card.

Your feedback helps improve and grow Seeq—so take a moment to review, scan now, and claim your reward!

Default Section Slide 1: Seeq Summit Houston Slide 2: Exclusive Summit Sponsor Slide 4: What’s New with Seeq Slide 5: Seeq Platform Evolution Timeline Slide 6: Supercharging Industrial Enterprise Monitoring™ Slide 7: Industrial Enterprise Monitoring™ Slide 8: ML for All – Hybrid Analytics Slide 9: ML for All – Hybrid Analytics Slide 10: ML for All – Hybrid Analytics Slide 11: Roadmap: Supporting Hybrid Analytics in Seeq Slide 12: Scale without Python Slide 13: Scale without Python Slide 14: No Code Scaling – Organize and Contextualize Slide 15: No Code Scaling - Deploy and Sustain Calculations at Scale Slide 16: Monitor & Action – Vantage Evolution Slide 17: Vantage - Rooms Slide 18: Vantage - Streamlined Configuration Slide 19: Level up with AI Agents Slide 20 Slide 21: Actions Agent Slide 22: Journal/Organizer Agent Slide 23: Premium AI Agent Slide 24: Insight on Usage and Value Capture Slide 25: Usage – Champion Dashboard Add-on Slide 26: Use Case and Value Capture - Impact Reports Slide 27: AI Summary for Impact Reporting Slide 28: Availability Slide 29: Customer Story: Cheniere Slide 30: Cheniere Energy, Inc. Slide 31: Safe Harbor Statements Slide 32: Cheniere: Market-Leading LNG Platform with Global Scale Slide 33: Fixing Bad Data to Improve Exchanger Maintenance Predictions Slide 34: Monitor Exchanger Blockage Slide 35: Ops Question Slide 36: How to Measure Blockage? Slide 37: Normalized DP Slide 38: How to Measure Blockage? Slide 39: Bypass Flow Meter Out of Range Slide 40: Use Control Valve %Open to Estimate Flowrate Slide 41: Corrected Normalized DP Slide 42: Thank you Slide 43: Customer Story: Indorama Slide 44: Process Fouling: Identification, Prediction, & Notification Slide 45: Indorama| Port Neches Site Slide 46: Agenda Slide 47 Slide 48: Reboiler Analysis (Initial Findings) Slide 49: Reboiler Analysis (Initial Findings) Slide 50: Reboiler Analysis (Initial Findings) Slide 51: Reboiler Analysis Slide 52 Slide 53: Reboiler Analysis (Post 2nd Outage) Slide 54 Slide 55: Reboiler Analysis (Post 3rd Outage) Slide 56: Long Term Monitoring Slide 57: Seeq Implementation at Indorama Slide 58: Questions? Slide 59: Disclaimer Slide 60: Break Slide 61: Share Your Feedback & Get Rewarded! Slide 62: Sponsor Highlight: BKO AI Slide 63: Optimize Maintenance Strategies for Fixed Equipment using Seeq Slide 64: Who is BKOai? Slide 65: Use Case: What are safety check valves? Why should we inspect them? Slide 66 Slide 67: Customer Story: Chevron Slide 68 Slide 69 Slide 70: Expanding Capability: From Simple Monitoring to Large Scale Optimization Slide 71: Example: Analytics for Valve Failure Slide 72: Friction Then: Collaboration Barriers Slide 73: Friction Now: Removing Collaboration Barriers Slide 74 Slide 75: Closing Slide 76: Thank You! Exclusive Summit Sponsor Slide 77: Conneqt 2025 Slide 78: Share Your Feedback & Get Rewarded!

Houston Summit

Item Type: pdf