Oil & Gas Digital Twin Conference

CONFERENCE SESSIONS

Explore Previous Conference Sessions

Hundreds of conference sessions were presented each day at the O&G Data Driven Digital Twin Conference. As we work on developing the 2025 agenda, filter the sessions to find those that align with your role and interests.

Edition 2025 / May 13-14, 2025
Edition 2024 / May 02-03, 2024
Edition 2023 / May 16-17, 2023
Edition 2022 / May 11-12, 2022

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Day 1 :

Advanced Data Analytics for Business Growth – to Oil and Gas (O&G) Industry

Sree Muktevi: Regional Vice President, Yash Technologies Gopal Krishnaswamy: Asst. Vice President (Analytics Thought Leader), Yash Technologies

Using Digital-twins to Optimize Heat Exchanger Networks and Monitor Operations

Greg Magness: Regional Sales Manager, HTRI Heat Transfer Research, Inc.

We first show how digital twin software fits into existing data workflows, and how it can be used to optimize exchanger cleaning schedules
Then we delve into a case study where a digital twin was used to select an optimal turnaround cleaning schedule based on total costs, including CO2 impact.
Finally, we explore other applications for a digital twin, and pending features currently in development.

Patenting Internet of Things (IoT) and AI inventions in the Oil & Gas industry

Ryan phelan: Registered Patent Attorney and Partner, Marshall, Gerstein & Borun

Powering the Future of Energy Markets with Innovation

Mehmet Ucansoy: Director, Information Technology,EXIST Hayri Simsek :Manager of Product Strategies at EPİAS, EXIST

Comprehensive Product Portfolio – Covering Spot Gas, Future Gas, Day-Ahead Market, Intra-Day Market, Power Futures, Renewable Energy Guarantees, and more.
Tailor-Made Solutions – Offering SaaS & on-premise deployments, customized to local regulations and market needs.
Cutting-Edge Technology – Backed by 200+ experts, utilizing Latest Best Practices-Technologies, Blockchain and Proven Quality with CMMI 3 for robust solutions.
Scalable & Reliable Architecture – Implementing Microservices & Cloud-Native Applications for high-performance energy market solutions

Harnessing Data for Smarter Operational Excellence: Driving Safety, Reliability, and Profitability.

Salman Khan: Managing Director Digineox Consulting

The Space Economy is the 5th Industrial Revolution.
Just as oil fueled the 4th Industrial Revolution, so too will "rare earth" minerals mined from asteroids and meteors fuel the economy of the 5th Industrial Revolution.
This presentation will outline the crucial role that digital twins, AI and autonomy play in successfully launching expeditions to capture Quadrillion dollar resources in microgravity.

Building Smart: A Modular Path to Digital Twin Implementation

Nadine Tribur: Senior Director, Construction, Projects, & Assets,FTI Consulting

Modular Digital Twin Strategy: Scalable implementation that drives early wins and manageable complexity
Start Small, Scale Smart: Begin with basic modules and expand with predictive capabilities as value grows.
The Power of Connection: Integrating data across the asset lifecycle.
Maximizing ROI, Minimizing Risk: Achieve fast ROI with pilot projects while setting up for long-term efficiency.

AI-Driven Mobile Suite: Revolutionizing Oilfield Service Operations

Michael Maltsev: CEO,riger® – Oilfield Services ERP

Smart Manufacturing 4.0 (Focus on Data, Digital twin, Sustainability, NetZero) driven by Digital Innovations

Chandra Pulleti: Director Value Enhancement Program, Americas, Ingenero

Leveraging Applied AI based Digital Solutions for achieving Sustainability/Net Zero targets in Oil and Gas
Centralized datahubs, Real time seamless data access, High Fidelity Digital twins
Machine Learning algorithms for Predictive Maintenance and Run-length/Cycle-time optimizations
Gen AI Powered Chatbot tailored to Oil and Gas: “INGIE”

Enhancing Asset Integrity and Performance in Oil & Gas Operations Using Performance Digital Twins

Phani Shakkari: Principal Data Analyst,bmtglobal

Performance Digital Twins for Offshore Assets – Digital replicas integrating real-time sensor data with design criteria, industry standards, and operational KPIs to enhance asset integrity management and decision-making
Real-Time Data Integration & Insights – Combines environmental (wind, wave, current) and structural response sensors (strain, motion, GPS) to provide actionable engineering insights for safety, reliability, and performance optimization.
Use Cases & Applications – Supports real-time condition reporting during hurricanes, post-event integrity assessments, operational decision-making, and continuous asset monitoring to enhance offshore asset resilience and efficiency.
Advanced Technologies & Scalability – Leverages automated data processing, machine learning, and visualization tools to analyze vast sensor data streams, extending asset life and reducing operational risks in offshore environments

Data-driven Virtual Flow Meter

Masoud Alfi: Data scientist and senior analytics engineer, Oxy

The Tech Worked Beautifully — Until the Execs Got Involved How to Scale Digital Twins & AI Without Losing Your Mind (or Budget)

Ludmila Pirogova: Managing Partner & CEO, NXTFrontier Group

Diagnose the Hidden Cracks in ScaleUse the G.R.I.D.S.™ Framework to reveal five critical disconnects where Digital Twin ROI breaks down — from governance blind spots to architectural misfires.
Bridge the Gaps That Kill MomentumApply the S.T.A.R.T.™ Readiness Model to realign trust, ownership, and strategic framing — before friction turns innovation into inertia.
Walk Away With a Scorecard — and a MirrorGet the S.T.A.R.T.™ Scorecard and the option for a 1:1 Executive readiness debrief — for leaders ready to align, act, and turn results into recognition.

Digital Transformation, from the edge to the Cloud

Thomas Peters: Founder,Imagery Business Systems, LLC Michael Hotrum: CEO, Imagery Business Systems, LLC

Real Time Well Engineering with Generative Artificial Engineering Intelligence (GenAeI): At Speed, At Scale, At Edge, in Real Time

Robello Samuel: Chief Technical Advisor & Senior Fellow, Halliburton

It is not just drilling ahead with digital transformation but with data, ML, AI, automation, and people converging to autonomics making the well construction in self-configuring, self-diagnosis, self-healing, self-optimizing and self-managing state.
Digital well program consists of engineering formalism through engineering microservices, plus interpretation of data and thus providing the reaction link between the mathematical formulation and elements of the physical world.
The talk will provide the context and the requirements of engineering microservices coupled with GenAeI models for the new paradigm of well construction at scale, at speed and at edge.

Day 2 :

Harnessing IoT and Digital Twins for Predictive Maintenance and Sustainable Operations.

Sree Muktevi: Regional Vice President,Yash Technologies Krenal Chauhan: Sr. Technical IIoT Architect, Yash Technologies

From Data to Decisions: HTRI Digital Twin Solutions for Heat Exchanger Performance Monitoring, Optimization, and Troubleshooting

Fred Hendrix: Group Lead, Software Development, HTRI Heat Transfer Research, Inc.

HTRI is a trusted research and software provider in the oil and gas processing industry for computer simulation of heat transfer equipment
HTRIconnect™ integrates near real-time plant data with heat exchanger simulations to realize digital twins of air coolers, economizers, and furnaces, as well as plate-fin, spiral plate, and shell-and-tube heat exchangers.
Explore applications of digital twins in realistic scenarios to estimate fouling that affects heat transfer performance and tube metal temperatures that cause creep failure in operation.

Digitalization Drives Turnaround and Plant-Based Project Excellence

Brett Schroeder: Co-Founder and CEO, AP Networks

Clean Energy for Data Centers - Small Modular Nuclear Reactors (SMR)

Saeed Mehmood: Program Manager – Commissioning and Quality, Tesla

Benefits of SMR’s for Data Centers and AI servers – Our next tier of life Artificial General Intelligence (AIG)
Achieving Cost Reduction at Scale: Lessons from France's Model for Building These Reactors
Safety Challenges associated with projected increased density of nuclear reactors within civic locations

Rapid Technical Analysis Digital Twin Technology

Garry Davis: President and CEO, BOP Risk Mitigation Services, LLC

Optimizing Natural Gas Compression: Utilizing a Digital Twin to Revolutionize Compressor Control

Zachary Bennett: Product Marketing Manager,DETECHTION

Operators managing compressor fleets face challenges with dynamic field conditions, limited asset visibility, strict environmental regulations, & costly downtime. Traditional solutions often rely on fragmented systems & manual processes, leading to inefficiencies & suboptimal performance.
This session explores how Dynamic Package Control, achieved with Digital Twin technology running on edge devices, addresses these challenges. Attendees will gain insight into the evolution of compressor management, from reactive maintenance to predictive insights & autonomous operation
We will discuss the current challenges, the limitations of existing approaches, and the vision of an ideal state where edge-enabled Digital Twin models enhance control and optimize performance.
Learn how this approach extends operating ranges, prevents failures, reduces emissions, and supports sustainability, ultimately transforming compressor management into a streamlined, efficient process

Digital Transformation for Equipment Health in a Refinery Setting using a Digital Infrastructure and Analytics to Inform Decisions

Preston Johson: Business Development Leader, Cutsforth

Improving Safety, Efficiency, and Sustainability with Digital Twins in Oil & Gas

Keshav Sundaresh: Senior Director of Digital Transformation, Altair

Understand the key benefits of implementing digital twin technology in oil and gas operations
Learn how digital twins can address specific safety, efficiency, and sustainability challenges
Discover real-world examples of successful digital twin implementations in the oil and gas industry
Gain insights into the future of digital twin technology and its potential impact on the oil and gas sector

From Crude to Code: How to Find the Right Tech Talent for Your Data-Driven Transformation

Andrea Craig: Principal, Client Solutions, BairesDev LLC

How digital twins help companies scenario plan in times of uncertainty

Jason Hehman: Vertical Lead for Industry 4.0, TXI

Work Smarter with Digital Twins: Navigate Operational Uncertainty with a Practical, Scalable Framework
Plan Through Complexity: Use digital twins to manage shifting inputs, workforce challenges, and production needs—even amid disruption.
Start Small, Deliver Value: Launch high-impact use cases that drive momentum without big budgets or full alignment.
Adapt with AI: See how AI is making digital twins more responsive, usable, and decision-ready

The Digital Twin. It’s not just for breakfast anymore

James Haw:Vice President of Automation and Digital Strategy, Operations Technology Specialists, LLC

If a plant’s lifecycle were a day, breakfast would be construction. A poor breakfast leads to bad choices at lunch and dinner
Transformations are painful and expensive, but don’t require luxury; they can start with existing tools in any company’s kitchen
Getting the digital twin right from the start can prevent costly transformations and accelerate performance to first-quartile levels.

Implementing Digital Twins in the Oil and Gas Industry: Challenges and Opportunities

Edson Bouer:
Managing Director, Accenture

Introduction to the concept of Digital Twin: Explanation of what Digital Twins are and how they can be applied in the Oil and Gas industry
Use cases and benefits: Practical examples of implementing Digital Twins in Oil and Gas operations, highlighting the benefits in terms of efficiency, safety, and cost reduction.
Challenges and solutions: Discussion of the main challenges faced in implementing Digital Twins and the solutions adopted to overcome them.

Day 1 :

Operation excellence & Digital transformation go hand-in-hand

Arun Kumar: General Manager (Operation Excellence & Engineering), HPCL-Mittal Energy Limited

AI-driven optimization in real-time, across oil and gas operations

Linnea Russell & Greg Fallon: Asset Performance Product Manager & CEO , SLB & Geminus.AI

Optimizing complex production and process systems requires predictability in real-time
Physics-informed AI (PiAI) is a breakthrough AI model builder that fuses physics-based simulation and process data, with models built in hours not months
Advisory control enables operators to enhance profitability and reduce carbon footprint in real-time
The approach is highly flexible and portable—applicable to myriad use cases suitable even when data sets are sparse

Uncomplicate Liquid Cooling: Save Power & Drive Digital Twin Performance with Self-Contained Liquid Cooling

Dr. Bernie Malouin : Chief Executive Officer, JetCool

Microconvective Liquid Cooling: Overcome thermal challenges in digital twin computations using single-phase direct liquid cooling technology.
Efficient Liquid Cooling Deployment: Explore JetCool's innovative, self-contained liquid cooling systems on Dell PowerEdge servers, reducing server power consumption by up to 15%.
Futureproof Server Infrastructure: Implement a phased liquid cooling strategy with Dell PowerEdge servers, transitioning from self-contained to facility-ready setups.

Data informed decision making: how to let data and intuition work in a great marriage.

Stephan Vlieland: Hiring Manager, Shell

Did you know that 58% of software companies base their regular business decisions on intuition alone?
Do you agree that these companies are endangering the future of their existence by NOT incorporating objective data in their decision making process?
How you can improve your teams in a sustainable manner by leveraging metrics?
The importance of metrics, which ones to choose as the most effective set in your context and how to get started with collecting all necessary data.
How to make more effective decisions by letting data and intuition work in harmony.

Current state of the Mexican natural gas network

Carlos Tapia: Chief Executive Officer and Owner, Balam Energy

The future of digital twins in orbital Spaceport construction and microgravity mining operations in the 5th Industrial Revolution.

Samson William & Samson Williams : serial entrepreneur and accidental investor & Blockchain, Deep Tech and Space Economics, Univercity of New Hampshire

The Space Economy is the 5th Industrial Revolution.
Just as oil fueled the 4th Industrial Revolution, so too will "rare earth" minerals mined from asteroids and meteors fuel the economy of the 5th Industrial Revolution.
This presentation will outline the crucial role that digital twins, AI and autonomy play in successfully launching expeditions to capture Quadrillion dollar resources in microgravity.

The Digital Twin. It’s not just for breakfast anymore.

James Haw: Vice President of Automation and Digital Strategy, Operations Technology Specialists, LLC

If the lifecycle of a plant could be compressed into a single day, engineering, and constructing that plant would occur over breakfast. And as they say, breakfast is the most important meal of the day. To take this analogy a step further, what is eaten for breakfast can potentially a�ect how lunch and dinner goes. In other words, a terrible breakfast could lead to a terrible day - lunch and dinner are had through bad choices.
This goes on, and eventually a transformation is needed. And like all digital transformations, they are painful and expensive. And this “breakfast” doesn’t have to be at The Four Seasons. It can be prepared in the average company’s own kitchen, using tools likely already owned and used
Getting the digital twin right in the beginning and using it the way it is meant to be used - a key component in today’s Operations Technology - can prevent a costly digital transformation later. It has the capability to push the facility to first-quartile performance much faster than ever expected or envisioned.

The challenges of Green Field vs Brownfield DT

Alberto Iniesta Serrano : Director – Worley Customer Solutions, Worley

Leveraging Digital Twins for Private Networks in Oil & Gas

MaNazim Choudhury : Director Market development, ibwave

Insertion of Artificial Neural Network Algorithms into Digital Twins for Process Monitoring

Silvio Cesar Godinho Teixeira : Company man in Buzios, , Petrobras

Companies rely on various equipment to produce goods and services, but degradation over time can lead to failures. Maintaining equipment in good condition is crucial to ensure production performance and prevent additional costs, downtime, and environmental damage. Maintenance, aiming for availability, reliability, and safety, is essential. However, many maintenance models face challenges by considering only the health of components without information about system reliability. The increase in production data can be an advantage, and predicting failures through a neural network trained with operational data can be valuable support for

Advanced digital twin technology from the nuclear sector – Applicability in the oil&gas.

István Szőke’ :Research Manager of the Applied Physical Sciences department, Institute for Energy Technology

The presentation explores HADRON lab's pioneering efforts at IFE, emphasizing AI, data, and robotics for safety in nuclear and other critical industries.
Ongoing and upcoming European projects and working groups will be showcased, reflecting IFE's cutting-edge research.
Advanced trends in digital twin and robotics innovation promoted by the DigiDECOM conference, hosted by IFE as an international center, will be highlighted.

Day 2 :

Generative AI : Experiences in business applications for Procurement & SupplyChain

Lovleen Chadha: Founder & CTO at qapp.ai

Gen AI Potential : Look beyond drafting emails and images. Gen AI can do much more for day to day tasks like Market intelligence, Contract Analytics and Autonomous Negotiations.
Data confidentiality concerns : Are you comfortable sending your data & queries to cloud-based AI models ? Laptop based locally running AI models are a potential solution.
Experiences from real experiments : I’ll share one of the following usecases:
Market intelligence : Comparison of outputs from 4-5 models (Cloud vs Laptop, Large model vs small model)
Autonomous Negotiations : Negotiations between two BOTs.

Making a Business Case for Developing an E-Governance Solution for Process Safety Management (PSM) Compliance

Dheeraj Kumar Narang : Technical lead, Digital Manufacturing Services, University of Science & Technology, PA

This presentation will describe the key issues faced by both the government regulatory bodies and process plant facilities, with the current non-digital (manual) method of PSM implementation, audit, and compliance. Recent modernisation initiatives of safety regulations undertaken by federal regulatory bodies such as OSHA and EPA in the United States are explained in the context of achieving the PSM compliance effectively and efficiently. The presentation will also report the outcome of a study on detailed comparison between OSHA’s 1992 regulatory impact analysis study and 2023 information collection requirement burden hour and cost estimate and will report the estimated the total economic burden of PSM compliance on the existing and future PSM covered facilities in the United States. The presentation will also unveil the idea of an e-governance solution that will potentially eliminate all the efficiency and effectiveness concerns faced by regulatory bodies and process plants in achieving a successful PSM implementation and comprehensive regulatory compliance in the United States of America.

Inspection and IMR Transformation using Generative AI

John Cadigan : Director of Projects, Enaimco

Using AI to create an optimized Life of Field plan
Enaimco Operational Twin - Use cases driving IMR and Life of Field optimization
Enabling electric utility innovations with smart metering, microgrid management, and wildfire mitigation through LoRaWAN solutions
Enaimco Vision for the Future

Data to Digital Twin in Oil and Gas Industry

Vinayak Kharche: Head Of Information Systems and Automation, Adani Petrochemicals

Revolutionizing Oil & Gas Operations: Unleashing the Power of Digital Twins with IAPM

Matteo Dariol: Business Development and Sales Manager, Bosch

The Digital Twin Revolution: Explore the transformative potential of digital twins in the oil & gas industry, and how they enable real-time monitoring, predictive maintenance, and improved decision-making.
IoT-Driven Data Insights: Learn how Internet of Things (IoT) data sources are harnessed to create a comprehensive digital replica of your assets, providing unparalleled insights into operations, safety, and Efficiency.
AI-Powered Asset Management: Discover how Artificial Intelligence (AI) supercharges your asset management strategies, optimizing maintenance, reducing downtime, and enhancing the ROI of your oil and gas assets with IAPM.

Innovations in Productivity Maximizing Digitalization Strategies.

George Perrett : Operational Excellence Director, Peri USA

Leveraging Digital Twin and Generative AI to gauge their impact on operational efficiency and productivity

Manish Grover : Executive Director (Strategic IS & IS), Indian Oil

Using Generative AI in Brownfield Engineering Projects in the Upstream Oil & Gas Sector

Emmanuel Haizel : General Manager – Engineering & Projects, Mansa Engineering

In recent years, we have seen rapid advancements in fields such as artificial intelligence (AI), predictive analytics, and machine learning. While these technologies hold great promise for improving our lives and making
The future
Benefits for Brownfield Operations
Risks (Opportunities/Threats)

Revolutionizing Industry: The Autonomous Process Plant and Digital Twin Integration

Brad Carlberg: Consulting Control Systems Engineering, BSC Engineering

Automates plant operations with Digital Twin technology linking process and control models
Optimizes plant areas using basic regulatory (PID), advanced regulatory (Cascade, Ratio, Feedforward), or Advanced Process Control (APC)/Model Predictive Control (MPC0
Enhances data collection with smart sensors, ensuring proper maintenance of plant assets
Integrates equipment and process data to navigate the best production path, revolutionizing process design

Using AI / ML and Data Analytics to Optimize the STO (Shutdown, Turnaround , Outage) Work Process and Performance

Brett Schroeder: CEO, AP-Networks

STO events have large business impact on an asset due to the cost of the event, the lost profit opportunity while the asset is offline, and the potential for safety and environmental impacts during the event.
Many of industry’s leaders have adopted a standard STO work process that contains key elements to deliver high degrees of STO readiness.
Experience shows that the critical success factors for achieving desirable STO outcomes involves both the quality of the work process and the quality of its implementation.
AI/ML techniques help us better understand large and highly complex data to help organizations make better decisions and optimize their work process to derive greater value and achieve better STO performance (quality of the work process)
This presentation will provide real life examples of how we have used AI/ML to improve STO process and outcomes for oil and gas companies.

Digital twins in manufacturing operational excellence

Michal Ukropec : CEO, Twinzo

Day 1 :

High-Octane Cybersecurity

Ashish Thapar: Vice President & Head – Cybersecurity, NTT Ltd

Digital Twins for Real-Time Process Modeling and Optimization of Oil and Gas Operations: Enhancing Efficiency and Productivity

Iwan Jones & Thouheed Gaffoor : Technology Manager – LiquidsTechnology Manager, Basetwo AI

Using faster surrogate models to simulate oil and gas processes in real-time to improve efficiency and productivity
Key success factors that enable real-time optimization, such as establishing digital infrastructure, picking the right modelling approach, etc
Evaluation of existing gaps in tools and capabilities in the industry to enable scalable real-time optimization

10 key learnings on building and operating digital solutions

Kjell Eriksson : Vice President Assurance , DNV

In 2021, DNV launched a recommended practice on how to build robust digital twins (DNV-RP-A204).
The overarching recommended practice is complemented by more detailed methodologies on data quality, data management, data-driven models and sensor systems.
We have since the launch carried out a number of projects for leading oil, gas and energy system operators, tech. solutions and platform providers. In the presentation we will reflect on what we have observed and share 10 key learnings that will benefit both development and operations of digital solutions.

Digital Twin for Carbon Management in Offshore Oil & Gas Platform

Subrata Bhowmik: Principal Engineer – Innovation McDermott International, Ltd

Digital twin hotspots – Key application areas where the digital twins are being adopted the most.

Mohammad Hasan : Analyst – IoT Software, Cloud and Digital Twin, IoT Analytics

Why is it important to understand these digital twin market hotspots? – Understanding the nuances of different digital twins and activity hotspots helps vendors focus their efforts and end users pick the most value-generating initiatives
The 6 most common digital twin applications of digital twins today – They are applicable to all sectors in general and Oil & Gas is no exception. Based on an analysis of 100 case studies from different sectors, the top applications or market hotspots include-
Suggestions for digital twin service providers and end users

Accelerating Towards Net-Zero with Simulation-based Digital Twins

Anchal Jatale: North America Energy Team Lead, Ansys

Brownfield Digital Twins and Asset Digitization

Iniesta Alberto : Director – Worley Customer Solutions, Worley

Asset Information Management
1d/2d Non-Intelligent Datasets Digitization
3D Capture Technologies – Laser Scanning and modeling
Relevance of Real-time data
ERP – CMMS Data as a foundation for enhanced asset reliability
Operations Digital Twin Integration& Contextualization layer

Extended reality in the oilfield: enabling our virtual twin journey

Crispin Chatar: Drilling Optimization Champion, SLB

Our software innovation center has been monitoring new and emerging technologies in this space for the past 8 years
The result of years of research, investigation into latest technologies and proving the use cases for our industry has resulted in fit for purpose designs with key collaborators allowing us to utilize gamification for training, collaboration, data visualization, Operations, virtual twin of worksites and increases in safety and efficiency
This Presentation will be about lessons learnt and key points to consider when utilizing gamification and extended reality to deliver these solutions.

Human & Machine in IR 4.0

Anupam Ghosal: Information Technology Specialist, Saudi Aramco

Reduce Security & Compliance Complexity in Multi-Cloud Scenarios

David DeLorge: Lead Enterprise Cloud Architect, BPX Energy Inc

The Opportunities and Challenges in Revolutionizing product development & maintenance.

Abdulmalik Halilu: Director, Planning, Research and Statistics, NCDMB

High-frequency algorithms harness the power of digital signal processing for Condition Based Monitoring

Keith Holdaway: Advisory Industry Consultant, SAS

Day 2 :

Digital Twin for FCC Unit in a refinery

Nikhil Chauhan: Chief Growth Officer and President, Algo8 Inc

Upgrading Digital Twin from Anecdotal Value to Strategic Value – A case for focusing on Mega Use case

Romesh Mahajan: Sr. Project & Program Manager, Shell

In many cases, the value from Digital Twin is articulated around the unconnected use cases. Mainly driving productivity and efficiency gains but lacking insightful decision making
A learning from the Digital Twin journey in last 2 years shows that there is much higher value potential of Digital Twin when we focus on work flows and end to end processes to drive “Gap to Potential” via insightful decision making
Digital Twin can be envisaged as a single entry point or system of engagement and a top visualization layer of all the applications underneath.

Using online simulation to create a real-time digital twin for pipeline and network operations

John Anderton : Assistant Manager, Indian Oil Corporation Limited

A simulation model using advanced state estimation techniques can provide a highly accurate digital twin that that can be used as a powerful decision support tool for pipeline operations.
Managing linepack, tracking gas quality, maintaining security of supply and intra-day contingency planning are just some of the challenges facing controllers in today’s dynamic markets. Using a digital twin can provide the right information at the right time to enable operational decisions to be made with confidence

Using digital twin to drive Project Efficiency and decision-making

Peter Paul: Senior Fellow Information Management, Fluor Corporation

Gains with the use of digital twin in operational and maintenance processes

Silvio Teixeira: Supervisor, Petrobras

Accessing Data Through Interactive Digital Twins

Matthew Zimmermann: Chief Executive Officer, Beast Code

A three-dimensional digital twin can be used as an interface to rapidly access information aggregated from multiple sources. This could be data pulled from multiple Product Lifecycle Management (PLM) tools, parametric readings and suggestions from Condition Based Maintenance apps, and more.
The digital twin can support iterative modernization of IT systems. As industry adopts new technologies, the digital twin can be the interface to push/pull data to/from legacy and future applications. For example, maintaining business processes while migrating from a homegrown app to a commercially available PLM.
The digital twin can be re-used across lifecycle activities. During design it can be used to communicate the physical and functional behaviors of the real-life platform. It can be reused to create interactive training capabilities as well as support maintenance activities later in the lifecycle.

Future of data driven Digital Twins

Tim Bartlett: Leading Engineer Technology Management, Equinor US

Construction of a Digital Tool for Increasing Oil Recovery in New and Existing Assets

Geoffrey Thyne : Chief Technology Officer, Engineered Salinity

Wettability is the major control on oil recovery
Wettability is a function of the oil and brine chemical composition in petroleum reservoirs
Sufficient data on the relationship between wettability and oil and brine chemical composition allows development of a deterministic system of equations.
This deterministic system can be used to develop software that adds significant value to existing data.

Hydrocarbon Flow Digital Twin: What is Beyond Calibrating Wells and Network Models ?

Ahmad Shammari: PIPESIM Product Champion, SLB

“Digital Twin” is a term that gained popularity in the past decade and is currently used by different businesses and organizations around the world to describe a virtual representation of a physical asset by relying on realtime data and/or algorithms to be converted into a form of visualization to replicate the shape, process or behavior of the physical system. Using this definition, we can specifically describe the Hydrocarbon Flow Digital Twin (HFDT) as a virtual representation of the oil and gas production asset utilizing field measurements, real-time data and simulation models to provide a comprehensive real-time simulation of the hydrocarbon flow behavior in wells and pipeline networks
Several HFDT solutions are available and used today by different O&G companies; with different levels of granularity, visualization tools, complexity and purpose. However, almost all HFDTs share a common basic foundation: hydraulic simulation models with continuous update and calibration.
In this presentation, you will learn the different HFDT types and levels of implementation, starting from an Excel sheet, until the most sophisticated production surveillance dashboard produced by the major O&G NOCs, operators and services companies. What are the basic foundations, insights, challenges and the latest advancements and where is the trend going in the coming decade

Emerging Cognitive Computing: Machine learning at the edge for the oil and gas industry

Ivan Scattergood: CTO, OctaiPipe

Traditionally, data is moved from extremely abundant devices & centralised into the cloud for AI. This is expensive, causes privacy risks, increases latency, depends too much on constant device connection.
OctaiPipe, is a ML Ops platform designed to implement Federated learning on IoT devices. Its innovative approach to training machine learning models at the edge reduces the need to centralise data.
This massively reduces the cost of data transfer, increases Cyber security, compliance and it lowers legal risks including the GDPR & Cyber Resilience Act.

Status of the Enterprise Augmented Reality (AR) Ecosystem and What Can We do to Improve it!

Mark Sage: Executive Director, AR for Enterprise Alliance

Using Data Integration to build digital twins without compromising data privacy

Alexander Alten: CEO and co-founder, Databloom AI

Federated learning allows organizations to combine data from different sources, improving the accuracy of models. This is especially important for digital twin models, which can be used to predict the performance of real-world assets
Organizations can keep control over their own data while still being able to collaborate on machine learning projects, which will help reduce the risk of data breaches and other security issues.
Cost-effective: Businesses can reduce the costs associated with data storage and processing by combining information from different sources to create more accurate models.

Importance of Digital Transformation in the Energy Transition

Carlos Vitale : Director – Strategy & Marketing, Baker Hughes

How can we leverage AI to improve inspection and testing of assets across the O&G value chain… and energy sector as a whole?
How can we leverage AI/Analytics to improve productivity across different functions?
How can we leverage AI/Analytics/Digital Twins to ramp up capacity for green energy and reduce waste?
Case study: Digital Twin of a Lithium Ion battery production line… challenges and opportunities. why is it important for the energy industry?

Day 1 :

Information Model and Digital Twin - Creating Value from Data

Vinayak Kharche: Head Of Information Management, Mundra Petrochem

Introduction - What is Digital Twin?
Plant life cycle and use of digital twin
Digital twin Information Model
Key Enabling Technologies/drivers
Digital Twin Maturity
Improved value & Insight using Digital twin
Implementation Challenges

The Digital Asset – The Foundation for “Analytics”, Digital Transformation, OpEx, and Decarbonization

Craig Harclerode : Global O&G and HPI Business Development Executive, AVEVA

Relationship to the digital twin and discuss the importance of and best practices in accelerating the journey through data, information and intelligence and the role of the digital asset and digital twin
The digital asset will be positioned as the nexus for delivering business and social value from “analytics”, digital transformation, operational excellence, and decarbonization strategies and programs

Real Time Completion Surveys and Analysis

Atheer Alattar : Lead Data Scientist , TIBCO

Overcoming Complexities of Deploying Additional Advanced AI/ML Analytics

Russ Sagert: Director Business Development: Energy, Manufacturing, Natural Resources, Retail NetApp

IoT Edge virtualization: combining VMs & Containers
5G implications on latency, throughput, and cost of deployment
Cost effective centralization of the Data Lake and Compute: Use of Cloud services
Making the environment resilient: clustered edge, cloud disaster recovery

Beartooth: Applying Digital Twin to Advanced Nuclear Fuel Cycles

Kaleb Houck: Digital Twin Research Scientist, Idaho National Laboratory

Oil & Gas Retail sites – Digital Transformation

Stelios Panaretos: IT RETAIL MANAGER, Motor Oil Hellas

Day 2 :

Sustainable Digital Twinning: Why is it Time to think now, for the Future

Pankaj Srivastava: Joint General Manager – IT , Nayara Energy

Production Process Digital Twins – Real Value Mandates Modelling Rigour

Tom Ralston & Wim Moyson: Digital Process Engineering Business Development, MySep

Real-time, Model Based Digital Twin for Energy and Emissions Management

Carlos Ruiz: Product Manager, Energy Management Visual MESA, KBC

Process plants need to consider how the available energy vectors, either traditional or renewables sources, can be produced, distributed, mixed and used by integrating them within or reformulating existing energy systems. The objective is to reduce both costs, and GHGs emissions. Selecting which energy source should be used at any given time depends on having data related to all the possible options. Data values could fluctuate in time, depending on power price, weather conditions, renewable sources availability, etc.
For large-scale O&G plants, energy normally accounts for 50% of operating expenses. Consequently, reducing energy use by 10% can often improve margins by 5%. As companies seek to maintain profits and reduce emissions, energy optimization is one of the first places to look.
In a renewable dominated scenario, due to the variability of the climate factors impacting the power generation, energy storage mechanisms should be available to capture the surplus and be used as a backup when renewable generation is expected to decline. A decision is to be taken, in real-time, about when to fill or deplete the storage and when to activate internal power production. A great challenge for the person or group in charge of optimally managing the energy system is the change in traditional mind set and optimization objectives. This kind of analysis cannot be done manually to the extent and with the necessary speed for a large and complex facility, especially when renewables are involved. Using a real-time, model based, Digital Twin approach, can consider both the sources and uses of energy, making it possible to optimize selections well beyond conventional energy and emissions reduction efforts.

How to Achieve Efficiency in asset lifecycle development and operations by digital twin

Wassim Ghadban: Vice President, Global Innovation & Digital Engineering Kent PLC

The shocks of COVID-19 combined with growing momentum to transition to a low carbon future, accelerates the need for Oil & Gas companies to ‘supercharge’ their digital agendas.
The need to build new and modify existing plants into efficient, connected and sustainable facilities of the future is moving at a faster pace than ever before. In the push to net zero, it is imperative to design, build and operate plants more efficiently and cost-effectively is the new norm.
There is a direct correlation between efficiency and sustainability.
Digital solutions are a key enabler to achieve both and deliver the plant of the future

Optimization of Facilities using Auto-Calibrated Hybrid-Based Digital Twins

Saad Kisra: Global Head of Process Simulation , Schlumberger

AI-Based Intelligent Data Loss Incident Response Plan

Rafiq Khurshid: IT Specialist, Saudi Aramco

AI-Based Intelligent Data Loss Incident Response is a solution to provide automated response to Data Loss incidents by collecting, correlating and analyzing large amounts of security incidents data from across diverse sources, including all data exfiltration channels, corporate asset data, and alerts from other security systems
It’s based on highly advanced big data analytics platform empowered with Artificial Intelligence & Machine Learning security analytics models to transform Data Loss Prevention (DLP) from traditional data centric monitoring to intelligent and proactive monitoring

Industrial Cybersecurity – A Catalyst for Digital TransformationIndustrial Cybersecurity – A Catalyst for Digital Transformation

Arthi Vasudevan : Senior Product Manager, Cybersecurity – Nexus Controls, Nexus Controls LLC

Security – a building block to enable Digital Transformation
Risk based approach to focus investment
Security framework implementation
Sustainable solutions to adapt to emerging trends
Security data enrichment & Digital Transformation for predictive maintenance
Leveraging Digital Twins, AI & ML for cybersecurity

Brownfield Digital Twins - A crash course

Petteri Vainikkka : Vice President of Product Marketing, Cognite

Combine existing OT/IT/ET/visual data to build a value-generating, extendable, and open digital twin of any legacy assets
Hands-on demo of secure data integration, contextualization, and operations (DataOps) best-practices for brownfields
Examples of hard ROI digital twin use cases such as production optimization

Condition Based Maintenance: Technological Solutions for Effective Implementation

Tihomir Kezic & Jude Iyinbor: Operational Excellence Director, Global Process Owner for new Collaborative, Bureau Veritas Group

Digital Twins for Smart Buildings to Unlock your Business Potential Based on Real Customer Projects, not just Theory

Brett Vogt & Nichole Killingsworth: Director at Project Consulting Services, Project Consulting Services

What are the benefits of digitizing energy infrastructure construction?
Why is it important to take advantage of digital data captured during construction for the creation of a digital twin?
What does digitizing energy infrastructure construction look like?
Where do I start to move my organization forward?
What predictions are possible now?

Day 3 :

Leveraging New Age Digitalization Solutions in Oil&Gas, Refining and Petrochemical Industries to Achieve Sustainable Manufacturing

Ranjit Panchal: Director – Marketing , Ingenero

Sustainable practices in Oil&Gas, Refining and petrochemical industries is gaining immense importance and these practices can be seamless integrated into business operations and improved through the application of digital solutions.
Effective use of digital solutions utilizes digital technologies to convert data to Augmented Intelligence that enables closer to real-time access to decision quality information facilitating improvements in existing manufacturing units for greater sustainability
Digital Twin and predictive models using Advanced Analytics enable better identification of energy savings opportunities and productivity improvements, both of which impact the carbon footprint and hence sustainability and allow more innovative design changes
Ingenero’s Sustainability Program, I-SSPDE, integrates edge computing with advanced analytics utilizing the full potential of Industrial Internet of Things (IIoT). By combining latest smart technologies and tools, I-SSPDE acts as a force multiplier and allows manufacturers in the Oil & Gas, Midstream, Refining, Petrochemicals industry, to advance their energy management, safety modeling and automation processes.

Real-time Hydrocarbon Blending Optimization Using Virtual Analyzers

Misha Askerka: Director, Analytics, Validere

Midstream crude oil facilities often lack information on their product quality, which leads to either overly conservative/unoptimized or risky blending programs
One way companies can address this is with digital twin type solutions that can accurately predict unknown product quality properties and automatically optimize operations in real-time. Using probabilistic approach to optimization allows companies to:
Once midstream companies implement these digital twin controls, they can increase blending terminal profits by blending closer to the targets while reducing the shut-in risk by carefully accounting for measurement uncertainty.

Process Expertise and Digital Technology at the service of our Customers: a Real-Time Digital Twin for Snamprogetti™ Urea Performance Service

Giuseppe Trefiletti:Digital Transformation Manager, Honeywell

Digital Technology allows process licensors to propose Innovative customer engagement models offering flexibility and a personalized experience, opening up new revenue, cost saving and reliability enhancing opportunities for plant operators. Saipem, in partnership with Honeywell, now offer a new service based on a digital twin solution for plant performance optimization, mixing the most advanced digital technology provided by Honeywell with Saipem‘s Urea Process expertise.
The Digital Twin for Snamprogetti™ Urea Performance Service focuses on process performance optimization, improvement of productivity and energy efficiency, reduction of carbon emissions. The solution will allow customers to gain insights on deviation from optimal performance, to identify opportunities and issues rapidly, to access alerts and actionable recommendations both through digital solution and/or Saipem expert guidance
The Digital Twin Solution consists of a SaaS Offering, based on Honeywell FORGE technology and Snamprogetti™ Urea process models, and Saipem expert support services to customer plant operators.

Employing Combined Subsurface and Facility Digital Twins to Optimize Production and Reduce Carbon Footprint of Oil and Gas Assets

Gerardo Muñoz:Product Marketing Manager, Aspen Technology

Practical digital twins that span reservoir and facility models and data to maximize asset performance
Exploit existing data and employ hybrid models to integrate AI into predictive power of the digital twin
Identify opportunities for carbon emission reduction in producing assets
Case studies

Disrupting Physical Assets into Smart Digital Entities

Jordi Breda:Founder & CEO ,TicTAP – Simply Connect

How we reduce employee operational costs by endowing physical assets the capability to interact with them bi-directally
Centralize all the services related to an asset, from the asset itself. Interconnect existing systems such as ERP's, AR's, active IoT, etc. and make them available from the asset itself
We make it happen in 2 simple steps and 1 easy action, with no need to change any existing infrastructure
Simply Connect

How will investments in digital twin capabilities pay off?

Alan Coughtrey:Tech-option

“Many thanks to you the incredible team for organizing the event. Watching for 2 days was very insightful and your team efforts to organize everyone from around created the success”

Rafiq Khurshid

Information Security Solutions Specialist (PMP, CRISC, CISM certified) at Saudi Aramco

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