Seeq Summit Pattaya Master Slide Deck

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09:00 - 10:00 – Registration and Networking

10:00 - 10:10 – Welcome & Kick Off

10:10 - 10:40 – Introduction to Seeq + Interactive Demo

10:40 - 11:00 – Summit Sponsor Presentation - Tech Curve

10:40 - 11:30 – Real-Time Predictive Models for VCM Plant Run Length - TPC

11:30 - 12:00 – Coffee and Networking Break

12:00 - 12:30 – Predictive Analytics POC - PTTEP

12:30 - 13:00 – Amplifying Human Intelligence - Seeq

13:00 - 14:00 – Lunch & Networking

14:00 - 14:30 – Seeq's Value Difference - Seeq

14:30 - 15:00 – From Data to Decisions: Performance & Reliability Monitoring for Centrifugal Compressors — Indorama Ventures

15:00 - 15:30 – Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics - Chevron Thailand E&P

15:30 - 15:45 – Seeq Customer Excellence Awards

15:30 - 15:45 – Closing Session

16:00 - 17:00 – Happy hour and networking (Horizon Bar)

AGENDA

Points to note during the day

• Safety

• WiFi o Password: Seeq25

• Breaks & Lunch o Breaks in the Foyer o Lunch The Edge Restaurant on Floor 15

• Happy Hour o Horizon on Floor 34

Ask Your Questions using Slido

Scan the QR Code to join our active Slido Session where you can ask questions throughout presentations and the presenter will answer them at the end of their session.

Questions can be submitted anonymously or with your name attached.

Ask any leader…What’s your most valuable resource?

EXPERTS!

Industrial Enterprise Monitoring Workflow Subject matter experts empowered to drive continuous improvement across the entire industrial enterprise

Self-Service Analytics

Condition Monitoring

TriageInvestigate Continuous

Improvement

Scale Across Assets Operationalize

AI Assistant – Analytics with AI Assistance

AI Assistant – Let AI do the tedious work

Machine Learning Tools

Industrial Enterprise Monitoring Workflow Subject matter experts empowered to drive continuous improvement across the entire industrial enterprise

Scale Across AssetsSelf-Service Analytics Operationalize

Condition Monitoring

TriageInvestigate Continuous

Improvement

Scaling, operationalise and manage by exception

Industrial Enterprise Monitoring Workflow Subject matter experts empowered to drive continuous improvement across the entire industrial enterprise

Scale Across AssetsSelf-Service Analytics Operationalize

Condition Monitoring

TriageInvestigate Continuous

Improvement

Vantage Room – Self-service setupVantage Room – Self-service setup

Vantage Room – Organize events for triage and collaboration

Industrial Enterprise Monitoring Workflow Subject matter experts empowered to drive continuous improvement across the entire industrial enterprise

Scale Across AssetsSelf-Service Analytics Operationalize

Condition Monitoring

TriageInvestigate Continuous

Improvement

Natchanon Naruesatyan / Pattama Poorahong Focused Improvement Engineer

Real-Time Predictive Models

for Cracker Run Length

Thai Plastic and Chemicals Public Company Limited (TPC)

TPC Group’s Company Profile

VIETNAM

PVC Resin

PVC compoundTHAILAND

PVC resin & VCM

Research center

INDONESIA PVC Resin

Pipes & Fittings

PVC Resin

VCM

Manufacturing Sites:

PVC Compound Established: since 1966

TPC Supply Chain Diagram

Olefin Plant

Ethylene

EDC

PVC Plant

Marine

Packaging type

Tank car Flexible Bag

PVCVCM

VCM Plant

(Vinyl Chloride Monomer) (Poly Vinyl Chloride)

Sea Bulk

Customers

PP Woven Bag

PVC Finish Goods VCM = Vinyl Chloride Monomer EDC = Ethylene Di-Chloride HCl = Hydrogen Chloride PVC = Poly Vinyl Chloride

VCM Process Flow Diagram

VCM = Vinyl Chloride Monomer EDC = Ethylene Di-Chloride HCl = Hydrogen Chloride PVC = Poly Vinyl Chloride

EDC Cracking

EDC

HCI

VCM

Fuel Gas

Temperature

Productivity

Coke Formation

Run length

Cracking Operating Trade-offs:

Challenge

Cracker run length dictates our shutdown schedule

The challenge is moving from guesswork to precision

The ability to predict the exact shutdown date is crucial. It allows us to:

• Enable effective maintenance planning

• Maximize productivity and eliminate profit loss from early shutdowns

Without real-time data, we are trapped:

• By Ineffective SD Planning:

• By a High-Stakes Trade-Off:

Previous Attempts

●Manual Process: Run length projections are manually calculated by

engineers using PI data exported to Excel

● Labor-Intensive: The process is time-consuming and requires

significant manual intervention for each update

● High Volatility: Forecasts fluctuate frequently with operational

changes, requiring constant recalculations to remain

accurate and reliable

Export PI

data to

Excel

Cleansing

data Regression Forecast Report

Seeq Solution

Export PI

data to

Excel

Cleansing

data Regression Forecast Report

Real-time auto update / Online Visual / Notification

Results

Automated,

Real-Time Forecasting

Replaces slow, manual Excel calculations with

a dynamic forecast that updates every 1

hour while achieving a predictive

accuracy of over 80%

Enhanced Online Visibility

& Collaboration

Provides a shared, interactive dashboard

for all teams (Operations, Maintenance) to align on one consistent forecast for faster

decision-making.

Proactive Notification

& Alerting System

Automatically notifies teams before a

shutdown is required, shifting maintenance

from a reactive emergency to a planned,

proactive event

Next Challenge

This success led us to ask a next bigger question:

“What if we could do more than just Predict the shutdown?

and What if we could actually Control it?”

Perform correlation analysis

Modeling & Forecasting

Create A Prescriptive Model

Y= f(X1,X2,X3,…,Xn)

Prediction Prescription

Two fundamental questions:

1. What are the Key operational factors that directly accelerate the need for a shutdown?

2. How can we adjust these factors in real-time to Safely extend our run length?

Krittin Sasanas, Tasaporn Visawameteekul

Poof of concept: Booster Compressor Failure Prediction

Senior Engineer, Maintenance and Inspection Solutions

• 20 years of experience on oil and gas business with background on Asset reliability, maintenance, and inspection.

Krittin Sasanas

Engineer, Maintenance and Inspection Solutions • A maintenance-focused digital solution

engineer in the oil and gas sector. • Leads the development of AI-driven tools for

predictive maintenance, equipment monitoring, and troubleshooting.

• Bridges engineering expertise with digital innovation to optimize operations and support data-informed decision-making.

Tasaporn Visawameteekul

Booster compressor

Problem

• Dealing with unplan downtime resulting in loss of production

• Combined multiple methods of trend characteristics, rule base logic and machine learning models.

• The applied logic able to gave early warning on several anomalies such as engine jacket water increasing temperature, abnormal level and flow pattern, temperature delta/range above limit and for ML detected shift in sensors readings relative to training window.

Challenge

Result

Solution

Anomalies detection Trend characteristic Example: EJW increasing trend

Anomalies detection Trend characteristic Expected behaviour between valve opening, level and flow

Anomalies detection Rule base logic The temperature delta between compressor’s throw is less than 10degF

Anomalies detection

Rule base logic The range of engine cylinders temperature left and right respectively < 100degF

Anomalies detection SOM Model Example: The pattern of the scrubber level

Anomalies detection

PCA Model Train PCA model on respective subcomponent of the engine and compressor

Hybrid Model

Case management

POC’s success criteria

Feature Request: 1. Ability to have respective signal contribution to the anomalies detected using ML tools. 2. Auto retraining training window. 3. More attractive and capabilities in the dashboard itself. 4. Failure mode auto-mapping via pattern recognition.

1. Ability to do anomaly detection using critical process parameters such as temperature, flow, pressure etc

2. Enable root cause analysis of failures where data is available

3. Automate monitoring and notification process

Industrial Enterprise Monitoring Workflow

Scale Across AssetsSelf-Service Analytics Operationalize

Condition Monitoring

TriageInvestigate

Continuous Improvement

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

Trend characteristic, rule base logic, ML tools

False/true positive Failure mode Corrective action Escalation

Root cause analysis

The Best Intelligence isn’t Artificial. It’s Human Intelligence, Amplified.

Turn individual knowledge into shared enterprise intelligence Codify learnings and decisions for future benefit

Amplify Human Expertise

Go Faster & Farther Complete tasks in a fraction of the time

Increase your team’s impact

Trust in Transparent & Traceable Results

See fully documented work steps Build understanding through resource references

The AI Assistant Fits Right Into the SME’s Seeq Experience

“Able to jump in immediately with a

useful and accurate

suggested action” “The Seeq AI Assistant is

awesome! It recognizes what I’m trying to accomplish, troubleshoots

my code, and provides excellent python recommendations and

comments.”

“Completing tasks eight times

faster and without interrupting

other teams for help.”

“I was seriously stuck on

something Friday in Data Lab.

This Assistant has been

AMAZING…”

"The AI Assistant really helped break down and document much better than I could, what we did within that process.”

“It’s as if we’ve acquired those skills

ourselves, but we haven’t. It feels

like we’re cheating.”

“The biggest benefit has been the productivity boost. I like to call it the

fast-forward button on Analytics.”

Industrial Enterprise Monitoring Workflow

Scale Across AssetsSelf-Service Analytics Operationalize

Condition Monitoring

TriageInvestigate

Continuous Improvement

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

Detect when pump 123 is consuming more than 12kW and call it “Pump High Load.”

Display pump inlet and outlet pressures and associated power consumption.

Apply the pump model to every one of my pumps made by Flowserve.

Was there any downtime related to material shortage yesterday on the Acme product lines?

Compare operations by batch, site and shift for last six months.

Signals, Conditions, Scalars

Worksheets, Dashboards, Documents, Journals

Models

Vantage Rooms

AI Agents

The Insights Pyramid Which sites have the best performance for Product Y?

Serving all Levels of the Enterprise

Process Engineer

VP / CxO (Manufacturing)

Operations Manager

Line-of-Business Manager

IT Manager

Walk users through a use case & share

Serving all Levels of the Enterprise

Process Engineer

VP / CxO (Manufacturing)

Operations Manager

Line-of-Business Manager

IT Manager

Understand operation changes w/AI Analyst

Ecosystem connectivity & Extensibility

Easily Access &

Explore Insights

Walk through a Use Case

Walk users through a use case

Industrial Enterprise Monitoring Roadmap

A fresh approach for subject-matter- experts to templatize analytics

solutions for reusability and scaling

Scalable, Sustainable Analytics Model

Inputs Outputs 𝑓(𝑥)

𝑓(𝑥)

𝑓(𝑥) 𝑓(𝑥)

Industrial Enterprise Monitoring Roadmap

More flexible ways to create, manipulate and manage asset

hierarchies for the use cases you want, when you need it

Build-your-own hierarchy

Understand operations with help of an AI Analyst

Simple to complex

Ad-hoc and scheduled

AI Analyst

Add Tome

Ecosystem connectivity and extensibility

Connectivity to agents in the larger ecosystem via Model Context Protocol.

Extend Seeq Agents with custom tools to achieve your workflows.

Integration with Microsoft Copilot to access insights from Seeq.

Ecosystem connectivity

Easily Access & Explore Insights

Enterprise Insights

How Seeq magnifies and ensures your ROI

Seeq’s Value Difference

Value Discovery Value Execution Value in Product

Seeq is Deeply Passionate about Customer Value

$ $

Seeq’s Value Difference

Value Discovery

The Challenge: Tackling increased costs and reduced revenue

Production

2,000

4,000

6,000

8,000

10,000

12,000

14,000

0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00

Rate

E ff

ic ie

n c y B

tu /l

DemandProductsFeeds /Raw Material

Em is

si on

W as

U til

iti es

St af

Eq ui

pm en

CustomerSupplier

Costs

Revenue

Variation in feed quality

Poor energy performance

Unplanned Outages

Demand variations and constraints

Discovery

Value Improvement Potential using Seeq

Typical average: >>5%

Average reconciled

actual profit

Seeq Value #1

Increase value through improving value chain management

Can we minimize events or reduce the impact with Seeq?

Month

G ro

ss M

ar gi

n (%

o f t

he p

la n)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

85%

90%

95%

100 %

105 %

Planned profit

Improved planned profit with Seeq

Discovery

Value Improvement Potential using Seeq

Previous reconciled

actual profit

Reduced reconciled value gap Seeq Value #2

Improved Reconciled Profit

Month

G ro

ss M

ar gi

n (%

o f t

he p

la n)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

85%

90%

95%

100 %

105 % New Planned profit

Discovery

Seeq addresses the value creation KPIs

Production Efficiency KPIs – OEE availability, performance and quality improves Revenue/Profit

Supply Chain KPI - On Time in Full improves Profit

Improvement increases

profit

Productivity KPIs Maintenance KPIs

Reliability KPIs

Energy KPIs

Customer KPIs

Production KPIs

Discovery

Production Optimization with Seeq (Batch) – Value Walkthrough

ERP & Corporate Planning

Multiple Historians

Multiple Plant Assets & Basic Control / DCS

Planning • Improved Plan vs Actual • Improved planning model

Order/Recipe Management • Improved recipes (parameters

and procedures) • Improved Yield with improved

recipes • Improved KPIs (OEE, etc)

• Predictive Performance Calc

• Predictive Process/Quality Calc

• Emissions/Energy Calculations

• OEE

• Calculations, Statistics, Inferentials, ML Models

• Data Aggregation (Time, Assets),

• Contextualization

• Data Cleansing

Operations

QualityOrder/Recipe Execution • Improved Recipe Execution • Shorter cycle times • Improved deviations • Improved quality • Improved regulatory

compliance

Enterprise Monitoring • Improved real time near decision making dashboards • Improved decision making based on advanced analytics and predictions • Anomaly detection and alerting • Downtime Analysis • Energy Monitoring • Predictive Process deviations/improved compliance Analytics PlatformScheduling

• Improved Plan vs Actual • Improved scheduling

parameters: Cycle times, start up times, CIP, throughput, yield

Supply Chain

SME Optimized Business Processes

SME Implemented

Discovery

Maintenance Optimization with Seeq – Value Walkthrough

ERP & Corporate Planning

Multiple Historians

Multiple Plant Assets & Basic Control / DCS

Maintenance Planning - Improved downtime & cost forecasting - Improved Turnaround planning - Improved contractor management - Improved root cause certainty

Work Order Management - Improved work order prioritization - Reduce urgent and emergent work - Improved work order flow and backlog

• Predictive Maintenance Calc

• Predictive Performance Degradation

• Equipment Monitoring

• OEE, Availability, MTBF, MTTR

• Calculations, Statistics, Inferentials, ML Models

• Data Aggregation (Time, Assets),

• Contextualization

• Data Cleansing

Maintenance Execution - Improved performance tracking - Improved progress monitoring - Improved productivity analysis - Improved post-execution validation

Enterprise Monitoring • Track and Analyze equipment conditions (vibration, temp, pressure) • Detect equipment anomalies and find root cause • Equipment efficiency and health monitoring • Spare parts and inventory monitoring • Workforce and schedule monitoring • Maintenance Execution Monitoring

Analytics PlatformMaintenance Scheduling - Optimize work timing - Improved resource planning/levelling - Improved production coordination

Maintenance Planning

Maintenance Execution

Maintenance Notification

SME Implemented

Discovery

+ CMMS

Process Optimization with Seeq

ERP & Corporate Planning

Multiple Historians

Multiple Plant Assets & Basic Control / DCS

Problem

Solving

and

Operationalising

Problem

Discovery

Problem Monitoring

and

Alerting

SME Implemented

+ Enterprise

Systems

SME Optimized Business Processes

Automated Business Processes

Discovery

Navigating Value Discovery

Seeq’s Value Team and Value Services

8484

Seeq Value Consulting Team – Our Support

Self-service Support

• Value Papers tailored for specific industries, functions and customer strategies

• Supports self-service customer value assessments

Value Coaching

• Value conversations to extract and quantify value themes

• Offer guidance on how to calculate value

• Share use cases

• Grow customer understanding and capability for value generation

Value Consulting Service

• Value assessment service for customer

• On-site or virtual meetings to map Seeq value delivery to customer strategy and pain points

• Value calculations and report tailored to customer needs

Value Engineering Program

• Part of our Customer Success Packages

• 1-2 day workshop with customer leaders, technical and operations teams, together with Seeq value and technical experts to build full implementation and value delivery program

Discovery

8585

Seeq Value White Paper Value Benchmarks – for calculating value potential

Discovery

8686

Example Value Tools – A Seeq Value Inventory

Discovery

8787

Value Outcomes we see from our Engagements

Initiatives

Action Priorities Responsibilities Metrics /Value

Data & Digital Capability Needs

Novel Enhancements Existing Duplications

Data & Digital Technology Impact

Inhibitors Accelerators Enablers

Business Strategy

Real Espoused Defensive Expansive

Digital & Manufacturing Strategy

Resources, Users and Communities

Responsibilities Partners Champions

Architecture

IT/OT Landscape Cloud Setup and

Partners Standards

Corporate Structure

Business Units

Geographical Functional Partners

Stakeholder Engagement

Governance

Communication Program

Governance Structure

Managing the change

Technology Process Training Change Mgmt

Program Development

Priorities Resourcing Timeline Governance

Value Growth

Organisational Geographical Functional

Value Opportunities

Strategic Operational Functional Organisational

Value Roadmap

Discovery

Seeq’s Value Difference

Value Discovery Value Execution Value in Product

Seeq is Deeply Passionate about Customer Value

$ $

Seeq’s Value Difference

Value Execution

The Seeq Difference with Customer Success

RO I

A dedicated Customer Success Manager, averaging 16 years experience, collaborates with you and your Success Team building and executing a plan that empowers your workforce and creates business cases with meaningful impact.

Analytics Engineers, averaging 12 years process industry experience, guide and mentor you as you identify, develop, and scale use cases to maximize value realized.

Solution Architects, with IT/OT experience, advise on Seeq integrations to leverage your other infrastructure investments.

Major support response times of 4-hr, 24x7 versus 2 business days. Dedicated Support Engineer who knows your setup.

A team and a plan to achieve your goals

User Enablement and Use Case Sprints

Organizational Rollout Strategy

Evaluation Checkpoints

Seeq Success Plan Strategy

Success Workshop

Training Plan

Comms Plan

Connect Data

Awareness Session Training User

Workshop

Quarterly Business Reviews

Executive Business

Review

Success Planning Strategy Template

MOTIVATE ignite curiosity

LEARN analytics skills

APPLY transform your work

User Enablement and Use Case Sprints (Repeat for each site/functional group)

Organizational Rollout Strategy Evaluation Checkpoints

When

Why How What

Organizational Enablement

• Manage organizational change

• Create foundation for growth

• Assemble team to establish • Goals and metrics • Milestones • Stakeholder alignment • Value tracking methodology

• Success Workshop • Effectively manage change

• Training plan development • Gain analytics skills

• Communication plan • Best practices to facilitate

collaboration and awareness

• Prior to contract execution; Beginning of contract term

• Periodically as goals and team members change

Success Wor kshop

Tr aining Plan

Co mms Plan

Co nnect Data

Awareness Sessio n Tr aining User

Wor kshop

Quarterly Business Reviews

Executive Business

Review

When

Why How What

User Enablement & Use Case Sprints

• Accelerate adoption

• Enact change management • Conduct awareness and

training sessions ensuring effective use

• Optimize utilization • Develop use cases to

demonstrate quick value and drive engagement

• Align components of enablement and use case sprint to occur in order

• Repeat for each group of the organization • Evolve based on learnings from

previous sprints

• Motivated learners ready to apply their learnings

• Awareness regarding Seeq in the organization

• Higher adoption rates with proper training and support channels

• Rapid use case development

Reoccurring for each sprint or ”wave” of deployment

Success Wor kshop

Tr aining Plan

Co mms Plan

Co nnect Data

Awareness Sessio n Tr aining User

Wor kshop

Quarterly Business Reviews

Executive Business

Review

When

Why How What

Evaluation Checkpoints

• Ensure business and user needs are being met

• Detect and address opportunities promptly

• Celebrate achievements and continue to set milestones for future goals

• Establish regular cadence updates with key stakeholders • Determine effective format

• Tailor information to suit recipient’s organizational level

• Regular touchpoints within the organization

• Alignment on what is important

• Intentional communication including: • Progress in value accumulation /

use cases • Progress on training • Headwinds

Determine appropriate frequency depending on level in the organization

Weekly, Biweekly, Monthly, Quarterly, Annually

Success Wor kshop

Tr aining Plan

Co mms Plan

Co nnect Data

Awareness Sessio n Tr aining User

Wor kshop

Quarterly Business Reviews

Executive Business

Review

Q1 Q2 Q3 Q4 JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC

St ra

te gy ⬥

Kickoff / Success

Workshop

⬥ Quarterly Business

Review

⬥ Quarterly Business

Review

⬥ Quarterly Business

Review

⬥ Executive

Review

Ad op

tio n ⬥

User Workshop

⬥ User

Workshop

⬥ User

Workshop

M en

to rs

U se

C as

es Su

pp or

t ⬥ Install Remote Agents Connect Sprint 1 Data Sources

⬥ Connect

Sprint 2 Data Sources

⬥ Connect

Sprint 3 Data Sources

⬥ Connect

Sprint 4 Data Sources

User Enablement Sprint 2User Enablement Sprint 1 User Enablement Sprint 3 User Enablement Sprint 4

Use Case Sprint 2Use Case Sprint 1 Use Case Sprint 3 Use Case Sprint 4

* Customized based on customer needs – number of sessions, cadence, specific trainings, etc.

Seeq Mentors Cohort 1 Seeq Mentors Cohort 2

Example Seeq Success Roadmap

Differentiators to enable user adoption

Efficient Global Delivery

IT/Admin Engineer

Operator Data Sci

Analytics and Software Role-Based Learning Value Focused, Industry Relevant, AI-Driven

Foundations Analytics

Skills

Identif y

Cleanse

uantif y

odel redict

isualize

ournal

ublish

• Rollout at Scale – 25k+ people trained

• Native Language Support

• Partner Network

• Instructor-Led and eLearning Training

Hands-on Learning AI Assistant

"Seeq provides many excellent ways to learn and scale the use

of their product… The traditional interactive training is outstanding.”

- Process Control & Data Leader, Manager, Chemours

“Build it, they will come” did NOT work;

Go slow to go fast

Push-Pull, community-focused

approach

No one-size fits all Customize adoption approach to suit your needs and culture

Top-down approach with executive sponsorship

Seeq’s Value Difference

Value Discovery Value Execution Value in Product

Seeq is Deeply Passionate about Customer Value

$ $

Seeq’s Value Difference

Value in Product

Value in Product - Tools for Championing Success

Impact Reports Champions Dashboard

Impact Reports - Why Capture Impact in Seeq?

See value in your enterprise Replicate Wins

Value Governance Enhance Discussions

Manage the Value Project Drive Adoption Strategy

User Enablement

106106

Platform Utilization

Dashboarding and reporting with Organizer is increasing!

Opportunities: • Enabling Data Science team to

utilise SDL capabilities • Integration with BI tools

107107

AI Feature Engagement

The Key Takeaways

Everything we can to guarantee value/ROI

• We’ll do all we can to build a tangible value path for you • Tried and tested change management experience • We target lowest risk change path for technology adoption • Training is first class and always available • Nurturing value is built into the product • Manage value as a project portfolio • Empower your champions with a full picture of the change

From Data to Decisions Performance & Reliability Monitoring of Centrifugal Compressors

Sankar Kannan Head – Technical service

11 2© Indorama Ventures

Company Profile

Process Overview – Centrifugal compressor

Key Challenges in Performance & Reliability

Analytical & Diagnostic Approach

Tools, Techniques & Methodologies Applied

Implementation & Outcomes

AGENDA

11 3© Indorama Ventures

Company Snapshot – Indorama Ventures Limited (IVL)

Lifestyle Fibers

Home Care

Surfactants

Mobility Fibers

PET

Propylene Oxide

Hygiene Fibers and Non- wovens

Personal Care

Surfactants

32 countries

Presence in

*update as of Apr 2025

114 manufacturing locations *update as of Apr 2025

employees

25,000 about Consolidated revenues of

$15.4B (FY2024)

11 4© Indorama Ventures

Global Manufacturing Footprint

• 114 locations • 32 countries • About 25,000

colleagues

Indorama Ventures in numbers

*update as of Apr 2025

CPET FibersIndovida (Packaging)

Americas

EMEA

Brazil Mexico

Uruguay USA

Bulgaria Czech Republic Denmark Egypt France Germany Ghana Ireland Italy Isarael Lithuania

Luxembourg Netherlands Nigeria Poland Russia Slovakia Spain Tanzania Turkey UK

APAC

China India Indonesia Myanmar

Philippines Thailand Vietnam

Indovinya (Sp.Chemicals)

TPT Petrochemicals PCL (Branch 2)

One of the largest PTA producers in the world when it was commissioned in 2006. Supply raw material for IVL’s PET and polyester operations and also to external customers worldwide.

Compressor house

Process Overview - PAC

• Process Air Compressor (PAC) is a critical equipment in Purified Terephthalic Acid (PTA) production, the key raw material for PET.

• Compressor train is integrated with:

• 5 stage Integral centrifugal compressor

• Motor/Generator

• Gas expander

• Steam turbine all connected in series

SCHEMATIC - INTEGRATED CENTRIFUGAL COMPRESSOR

PTA process is Energy-Optimized, utilizing: • Surplus Waste heat from the process • Off-gas from reactor for power recovery in PAC train

Key Challenges in Performance & Reliability of Compressor

Challenge Monitoring KPI Seeq Utilization

Efficiency loss Power Consumption Actual vs. Expected Stage wise & Overall Model & Predict based on benchmark period

Organizer report to quantify the monetary loss Temperature rise Stage inlet/outlet temperatures, Delta-T trends

Flow / Pressure limitations

Pressure Curves vs. Design Values Real time operating point in performance curve

Sensitivity to Inlet conditions

Correlation of performance with inlet pressure, temperature API add-in for real time humidity data

Vibration / Imbalance issues

Rate of change in Vibration values to predict anomalies in advance. Auto alert notification for deviations

Tree map to identify areas of concernLubrication problems / Bearing wear

Rate of change in Journal & Thrust bearing temperatures

Analytics & Diagnostic Approach

Create Asset Group Identify Training Window Model & Prediction Efficiency Monitoring

• Asset group for compressor stages

• Standardize data structure

• Easier to manage & replicate the formulas

• Identify best operating period as reference

• Compare current performance Vs benchmark period

• Predict key variable values using training period

• Evaluate performance against predicted results

• Comparison - Actual vs Predicted

• Early detection of deviations

• Assess monetary impact ($)

Analytics & Diagnostic Approach

Performance Data Reliability Data

• Training window with steady operation & stable parameters.

Create Asset Group Identify Training Window

• Build Asset Groups to organize stage- wise compressor parameters

• Separate asset groups for Process and Reliability parameters

• Standardized parameter mapping across all compressor stages • Enables performance monitoring and predictive insights using

asset structure

After major overhaul for best equipment condition.

Excluding startup and transient data for model accuracy.

Focused on highest efficiency phase as training baseline.

Analytics & Diagnostic Approach

• “Model to Predict” feature to predict Stage Discharge Temperature.

• Normalized to operating conditions

• “Formula” to calculate Stage Efficiency from modeled temperature

Model & Prediction

Track and compare Actual vs Predicted Efficiency in real time

Analytics & Diagnostic Approach

Efficiency / Power Monitoring

• Track Actual vs Predicted efficiency / power through

scorecard metrics

• Highlight deviations beyond threshold limits using color-

coded indicators

• Power consumption deviation against predicted baseline

• Convert efficiency loss into monetary impact ($)

• Deliver financial insights to support operational decision-making and optimization

Power Loss

Monetary Impact

Tools & Techniques : Compressor Performance Curve

Extract Curve data Use No-Code add on Plot Digitizer tool to extract data points from compressor performance curves

Build Performance Curve Generate individual curves for each guide vane position by selecting data points within the Plot Digitizer.

Visualize in XY Plot Create Pressure vs Flow & Power vs Flow plots by adding the curves in f(x) option of XY Plot.

Discharge Pressure vs Air flow

Operating point

Power vs Air flow

Actual vs Expected power

4 Plot Operating Point Display live operating point over the reference curve

Tools & Techniques : Heat Map for Reliability Monitoring

Monitoring of Machine Values Alerts & Notifications

• Alerts are triggered when Anomalies are detected by capsules in machine parameters.

• Notifications are sent to concerned teams for early awareness.

• Early detection: Enables identification of deviations before alarm limits are reached.

• Proactive monitoring of machine performance.

• Monitoring based on Rate of Change (ROC) rather than prediction from benchmark period.

• Minor shift in baseline data after

maintenance or start / stop of machine.

• Formula Tool to define conditions for: • Step changes • Short-term rate of change • Long-term rate of change

• Conditions are created in Asset Group to replicate across all stages.

• Visualized via Heat Maps to highlight deviations at a glance.

Parameter Step Change Short Term ROC Long Term ROC

TB & JB temp +/- 5C in 2 min > 5 °C in 4D > 7 °C in 90D

Pinion Vibration X & Y +/- 9 µm in 2min >9 µm in 4D >14 µm in 90D

Displacement +/- 0.05 mm in 2 min >0.05mm in 4D >0.07mm in 90D

Stage 1 Stage 3

Stage 2 Stage 4

Stage 5

Low Code / No Code Reports

• Scheduled automated reports capture key

KPIs for compressor performance and

reliability.

• Scorecards and heat maps highlight areas

of concern at a glance.

• Asset selection enables quick access to

stage-specific performance trends.

• Quick links to Workbench allow deep-dive

analysis over custom date ranges.

• Consolidated reports provide a complete

view of all PAC train units – Compressor,

Steam Turbine and Gas Expander.

Tools & Techniques : Automated report – Seeq Organizer

Implementation & Outcomes : AIA Advantage Vs Traditional Monitoring

Data & Insight

Maintenance Strategy

Knowledge & Expertise

Decision Agility

Traditional Approach

• Manual tracking of KPIs • Decisions on manual observations • Limited visibility to historical events.

• Manual tracking of KPIs • Infrequent updates & delayed detection.

• Knowledge tied to individuals • Hard to retain or share.

• Manual data cleaning and report generation

• Slow & reactive • Incomplete or delayed information

Workforce Enablement

Focus Area Advanced Analytics Approach .

• Real-time KPIs. • Data integration from multiple sources • Advanced analytics for faster issue detection

• Predictive maintenance with early fault detection.

• Fast & data-driven • Proactive decisions through real-time insights.

• Automated reporting & alert notifications • Intuitive dashboards

• AI / ML powered data analytics • Easily replicated to other entities.

12 6

Click to edit Master title style Click to edit Master subtitle style

Key Contribution by our Seeq Champions • Prachya C. – Process Engineer • Ratchanan A. – Process Engineer

When the data speaks for itself, You can drive Improvement

THANK YOU

Suradech K. & Asit A. Chevron Thailand E&P

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics

Outlines

• Overview of Chevron Thailand E&P

• Process Optimization: Upstream Sand Management

• Desander Hydrocyclone / Acoustic Sand Detector

• Turbine Reliability Analytics: Use Cases in IOC (Integrated Operations Center)

• Energy Efficiency Optimization

• Turbine Vibration Analysis

• Inlet Air Filter Prediction

About Chevron Thailand E&P

Offshore Concessions since 1981

• 2 Gas Central Processing Platforms

• 1 Oil Central Processing Platform

• 106 Wellhead Platforms

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

Sand Management

• Key Challenges: Erosion, Downtime, Operational Complexity •Our Journey: • Improve Equipment Reliability • Optimize Desander Performance • Use Data-Driven Techniques

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

Sand Management Locations

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

Suradech K. & Asit A.: Chevron Thailand E&P

Catch More Sand Reduce Pump Vibration !!! Reduce Downtime !!! Reduce Maintenance Cost !!!Desander Hydrocyclone

Hydraulic Models Review

Plitt Model (for Hydrocyclone)

- Focus On the Cut Size d50 Which 50% Of The Particles Are Captured.

Stairmand Model (for Hydrocyclone)

- Developed On Air Cyclones, But Its Concept Influence Liquid Cyclone Design.

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

Pseudo-Parameter Monitoring

Manufacturer’s Suggested Equation >>

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

Field Modifications

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

Suradech K. & Asit A.: Chevron Thailand E&P

Field Modifications

Results

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

Before After Flow Rate

Differential Pressure

Variance

Results

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

57 days 90 days Catch More Sand Reduce Pump Vibration !!! Reduce Downtime !!! Reduce Maintenance Cost !!!

Pump Vibration

Suradech K. & Asit A.: Chevron Thailand E&P

Catch More Sand Reduce Pump Vibration !!! Reduce Downtime !!! Reduce Maintenance Cost !!!Acoustic Sand Sensor

Acoustic Sand Detector

- Require substantial training and competent personnel to interpret the results

- Does not need man onboard

- Can achieve accuracy up to +/- 25% with calibration

- Typically, one week time delay with manual data interpretation process.

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

Minimum Modification Option

Automation and ML with the Signal

Calibration Curve Requires Accurate Definition of Zero Trends

Involved Algorithms: - Multiple Filtering Methods(Agile, SG, MA, low

pass) - Changepoint Detection, Data Smoothening

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

Overall System Flow

Put The Equipment At The Right Location

Obtaining Signal To DCS/PI

Requires A Server To Run Python ML

- Show Visualization To The Users

- E-mail Alerts/Alarms

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

Real Use Cases in IOC (Integrated Control Center)

Turbine Reliability Analytics

IOC Next: Turbine Reliability Analytics

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

IOC Next: Turbine Reliability Analytics

IOCC Integrated Operation

Control Center

IOC Next !!! Autonomous Control &

Analytics.

2022 2025

IOC Scrum Cross Functional

Team Meeting

2021

Consolidates All 3 Operation Control Rooms (400km away) Across Gulf of Thailand Into One Control Central Location in Bangkok HQ Office

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

IOC Next: Production Optimization & Energy Efficiency

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

Typical Upstream Oil & Gas Process Flow Diagram

Energy Consumption Profile Across Chevron Thailand Facilities

Capacity Control Valve

Recycle Valve

Back Pressure Control Valve

Suradech K. & Asit A.: Chevron Thailand E&P

• Reducing Pipeline Compressor Discharge Pressure from 1,700 Psi to 1,300 Psi

• Reduce Fuel Consumption

• GHG Reduction: 4,500 Tons Of CO2/Year

IOC Next: Production Optimization & Energy Efficiency Evolving Operating Philosophy: From Fixed Back-Pressure Control to Adaptive Dynamic Control

Back Pressure Control Valve

Suradech K. & Asit A.: Chevron Thailand E&P

• Reduce %Opening or Fully Close of Recycle Valve & Capacity Control Valve

• Maintaining Production Targets without Loss or Liquid slugging.

• Reduce Turbines Fuel Consumption

• GHG Reduction: 4,300 tons of CO2/year

Lowering Differential Pressure from 15-17 PSI to 10–12 PSI Across Inlet Separator & Compressor Suction Scrubber

IOC Next: Production Optimization & Energy Efficiency

Capacity Control Valve

Recycle Valve

Suradech K. & Asit A.: Chevron Thailand E&P

Vibration Shut Down Set Point: 3.0 IPS Vibration Alarm Set Point: 2.5 IPS

Vibration Standard Deviation Limit: 1.0 IPS

Please analyze… “What’s wrong with the gas turbine engine’s vibration?"

#VibrationSignal.aggregate(stddev(), periods(StdDev_Duration), durationKey())

Dynamic Vibration Analysis: 15-Minute Standard Deviation Windows for Real-Time Monitoring

IOC Next: Predictive & Analytics: Anomaly Detection Gas Turbine Vibration Monitoring System

IOC Next: Predictive & Analytics: Anomaly Detection

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

Gas Turbine Vibration Monitoring System

• Early Warning System: Converted potential costly failure into proactive success

• Optimized Maintenance: Shifted from reactive to predictive, reducing downtime

• Data-Driven Insights: Continuous monitoring with advanced analytics

• Prevented Catastrophic Failure: • Asset Loss • Production Loss

IOC Next: Predictive Analytics & Autonomous Notifications Dynamic Condition-Based of GOT Gas Turbine Air Inlet Filter

SeeQ Predictive Analytics & Real-Time Forecasting: Proactively Predict Differential Pressure Trends And Schedule Maintenance Six Months Ahead

Transforming All of Air Inlet Filter Maintenance from Time-Based to Condition-Based.

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

IOC Next: Predictive Analytics & Autonomous Notifications Dynamic Condition-Based of GOT Gas Turbine Air Inlet Filter

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

Current Value

Filter Change

Out Notification

Predict Change Out Setpoint

6-month detection

Filter Change Out

Set Point

High Alarm Set Point

• Eliminating Unnecessary PM Tasks, Saving Material Costs And Reducing Man-Hours. • Leverage SeeQ Alerts Function ‘SeeQ Write Data Back’ To Send Filter Change-Out Notifications

Directly To External Applications.

#FilterDiffSignal.forecastLinear(trainingDuration, forecastDuration) (#Pre-Alert Signal.validValues() > #FilterC/O_SetPoint).grow(prealertPeriod)

IOC Next: Driving Excellence Through 4 Key Focus Elements

Energy Efficiency & GHG monitoring

Autonomous Notifications & Control

Production Optimization

Predictive Analytics & Anomaly Detection

Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Suradech K. & Asit A.: Chevron Thailand E&P

Safer, Faster and More Effective with Innovation

Suradech K. & Asit A.: Chevron Thailand E&P

Thank you!

Suradech Kongkiatpaiboon Sr. Process Engineer

Asit Apornsupavit Lead Machinery Engineer

Default Section Slide 1 Slide 2 Slide 3 Slide 4 Slide 5

Tech Curve Intro Slide 6 Slide 7

Nick + Sharlinda Slide 8 Slide 9 Slide 10 Slide 11 Slide 12 Slide 13 Slide 14: Scaling, operationalise and manage by exception Slide 15 Slide 16 Slide 17 Slide 18 Slide 19

Tech Curve Presentation Slide 20

TPC Presentation Slide 21 Slide 22 Slide 23: TPC Supply Chain Diagram Slide 24 Slide 25 Slide 26 Slide 27 Slide 28 Slide 29

Break 1 - Filler Slide Slide 30 Slide 31 Slide 32

PTTEP Presentation Slide 33 Slide 34 Slide 35 Slide 36 Slide 37 Slide 38 Slide 39 Slide 40 Slide 41 Slide 42 Slide 43 Slide 44 Slide 45 Slide 46 Slide 47 Slide 48

Joanna Presentation Slide 49 Slide 50 Slide 51: The AI Assistant Fits Right Into the SME’s Seeq Experience Slide 52: Industrial Enterprise Monitoring™ Workflow Slide 53 Slide 54 Slide 55 Slide 56: Walk through a Use Case Slide 57: Walk users through a use case Slide 58 Slide 59: Industrial Enterprise Monitoring™ Roadmap Slide 60: Industrial Enterprise Monitoring™ Roadmap Slide 61: Industrial Enterprise Monitoring™ Roadmap Slide 62: Understand operations with help of an AI Analyst Slide 63: AI Analyst Slide 64 Slide 65 Slide 66: Ecosystem connectivity Slide 67 Slide 68: Easily Access & Explore Insights Slide 69: Enterprise Insights

Filler Slide - Lunch Break Slide 70 Slide 71 Slide 72

Paul's Presentation Slide 73: Seeq’s Value Difference Slide 74: Seeq’s Value Difference Slide 75: Seeq’s Value Difference Slide 76: The Challenge: Tackling increased costs and reduced revenue Slide 77: Value Improvement Potential using Seeq Slide 78: Value Improvement Potential using Seeq Slide 79: Seeq addresses the value creation KPIs Slide 80: Production Optimization with Seeq (Batch) – Value Walkthrough Slide 81: Maintenance Optimization with Seeq – Value Walkthrough Slide 82: Process Optimization with Seeq Slide 83: Navigating Value Discovery Seeq’s Value Team and Value Services Slide 84: Seeq Value Consulting Team – Our Support Slide 85: Seeq Value White Paper Value Benchmarks – for calculating value potential Slide 86: Example Value Tools – A Seeq Value Inventory Slide 87: Value Outcomes we see from our Engagements Slide 88: Seeq’s Value Difference Slide 89: Seeq’s Value Difference Slide 90: The Seeq Difference with Customer Success Slide 91: A dedicated Customer Success Manager, averaging 16 years experience, collaborates with you and your Success Team building and executing a plan that empowers your workforce and creates business cases with meaningful impact. Analytics Engineers, Slide 92: Success Planning Strategy Template Slide 93: Organizational Enablement Slide 94: User Enablement & Use Case Sprints Slide 95: Evaluation Checkpoints Slide 96: Example Seeq Success Roadmap Slide 97: Differentiators to enable user adoption Slide 98 Slide 99: Seeq’s Value Difference Slide 100: Seeq’s Value Difference Slide 101: Value in Product - Tools for Championing Success Slide 102 Slide 103: Impact Reports - Why Capture Impact in Seeq? Slide 104 Slide 105: User Enablement Slide 106: Platform Utilization Slide 107: AI Feature Engagement Slide 108: The Key Takeaways Slide 109: Everything we can to guarantee value/ROI Slide 110

Indorama Presentation Slide 111: From Data to Decisions Performance & Reliability Monitoring of Centrifugal Compressors Slide 112 Slide 113: Company Snapshot – Indorama Ventures Limited (IVL) Slide 114: Global Manufacturing Footprint Slide 115: TPT Petrochemicals PCL (Branch 2) Slide 116: Process Overview - PAC Slide 117: Key Challenges in Performance & Reliability of Compressor Slide 118: Analytics & Diagnostic Approach Slide 119: Analytics & Diagnostic Approach Slide 120: Analytics & Diagnostic Approach Slide 121: Analytics & Diagnostic Approach Slide 122: Tools & Techniques : Compressor Performance Curve Slide 123: Tools & Techniques : Heat Map for Reliability Monitoring Slide 124: Tools & Techniques : Automated report – Seeq Organizer Slide 125: Implementation & Outcomes : AIA Advantage Vs Traditional Monitoring Slide 126 Slide 127

Chevron Slides Slide 128: Navigating Offshore Challenges: Sand Control and Turbine Reliability Analytics Slide 129: Outlines Slide 130: About Chevron Thailand E&P Slide 131: Sand Management Slide 132: Sand Management Locations Slide 133: Desander Hydrocyclone Slide 134: Hydraulic Models Review Slide 135: Pseudo-Parameter Monitoring Slide 136: Field Modifications Slide 137: Field Modifications Slide 138: Results Slide 139: Results Slide 140: Acoustic Sand Sensor Slide 141: Acoustic Sand Detector Slide 142: Automation and ML with the Signal Slide 143: Overall System Flow Slide 144: IOC Next: Turbine Reliability Analytics Slide 145: IOC Next: Turbine Reliability Analytics Slide 146: IOC Next: Production Optimization & Energy Efficiency Slide 147: IOC Next: Production Optimization & Energy Efficiency Slide 148: IOC Next: Production Optimization & Energy Efficiency Slide 149: IOC Next: Predictive & Analytics: Anomaly Detection Slide 150: IOC Next: Predictive & Analytics: Anomaly Detection Slide 151: IOC Next: Predictive Analytics & Autonomous Notifications Slide 152: IOC Next: Predictive Analytics & Autonomous Notifications Slide 153: IOC Next: Driving Excellence Through 4 Key Focus Elements Slide 154

Closing Slides Slide 155

Seeq Summit Pattaya Master Slide Deck

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