-    Learning from Dow’s approach to contract labor strategies 
-    Unlocking the value of Blockchain in aligning the workforce with ESG goals 
-    Before and after: Gaining insights into the benefits of technology innovation and the issues faced before implementation

-    Reviewing the cyber issues and data breaches brought about by IOT, AI, edge computing, and blockchain
-    Evaluating and developing connectivity plans that align with business goals 
-    Accessing regulatory requirements for data privacy and security
 

LoRaWAN deployments or friction points to legacy systems 
Brian Thigpen, IIOT Product Owner, Chevron

Edge SCADA Provisioning and Management
Oliver Wang, Industrial Computing, MOXA

SiteSync:  Delivering IIoT at Scale using LoRaWAN, MQTT Sparkplug B and Ignition
Jessica Williams, Controls Engineer, Sync Automation 

Panel discussion: Scaling up LoRaWAN ® for Oil & Gas Digitalization
LoRaWAN® is an ITU-approved cost-effective and quick to deploy Low-Power Wide-Area Network (LPWAN) that provides long-range data capture from constrained, often stranded, battery operated devices and sensors to cloud-based data platforms and On-Premise SCADA systems to enable data driven decision making and operational automation at scale.
Millions of LoRaWAN devices have now shipped globally, many that are hazardous rated sensors that digitize energy consumption, valve positioning, health of pumps and rotating machinery, pressure and temperature sensing, chemical tank level optimization, worker safety monitoring and tracking.
Panellists will discuss value of LoRaWAN applications now scaling globally in Oil & Gas segments and answer questions from the audience on performance, integration to legacy data platforms, lessons they learnt and the return on investment for Energy and Oil & Gas.

Moderator: Daniel Quant, Multi-Tech Systems

Panellists:
Brian Thigpen, IIOT Product Owner, Chevron
Michael Mayer, MD, Aloxy
Jim Jones, CMO, Riot Edge Solutions
Oliver Wang, Industrial Computing, MOXA
Chris Stoll, VP Product Management, Vutility
Sarah Sonnier, Data Scientist, Sync Automation

-    Overcoming compatibility issues related to outdated protocols 
-    Learning how to enable migration of data to new systems without losing vital information 
-    Integrating new connectivity systems without exposing vulnerabilities  
 

-    Highlighting the challenges of cellular IoT in remote network-constrained environments
-    Sharing actionable engineering strategies working in successful real-world deployments 
-    Striking the right balance between device-level efficiency and data security requirements  
 

-    Preparing against cyber threats to the security posture of organizations 
-    Reaping the benefits of AI and ML in cyber risk management strategies
-    Understanding potential attacks backed that may be supported by technology

-    Identifying the long-term vision between IoT and digital twins 
-    Illustrating how to operationalize effective data strategies for surface and sub-surface digital twins
-    Understanding how new devices at well level can be a game-changer
-    Understanding how operators can use these two technologies in tandem to translate complex assets and optimize efficiency

Web3 field automation has arrived! What efficiencies are here and now for field to leverage and embrace as we modernize the field. 

A demo of the commercially available chemical delivery solution created by the Blockchain for Energy consortium. 

Key Areas for discussion:

a. Embracing decentralization to bring cost savings and efficiencies that impact your bottom line

b. Generating real-time operational visibility for the field  

c. Providing transactional certainty and reducing friction between suppliers and consumers 

d. Automating cumbersome admin processes returning time to field personnel 

e. Improving the availability of data for corporate decisions and functions

Session delivered in partnership with Blockchain for Energy and their members 

-    How to define the most valuable use cases
-    How to gather legacy solutions with cutting edge technologies
-    First pilot results and proposed strategy to escalate to the whole portfolio.

-    Reducing the impact of losing experienced people (SMEs) on operations and maintenance
-    Ensuring best practice knowledge capture using a knowledge automation platform 
-    Identifying and closing knowledge skill gaps in the workforce 
-    A practical use case on standardizing onboarding and the impact this has on P&L and safety performance
 

PHI is a publicly traded provider of helicopter transportation services to clients in industries including oil & gas. PHI uses digital representations of equipment processes to bolster the allocation of resources in ongoing efforts to drive efficiency and safety. These "digital twin" representations are now powered by AI and yield rich, data-backed opportunities. However, for many organizations, the challenge remains to tackle the opportunities and iterate toward success systematically. This talk addresses that issue and introduces a solution, Motivee, which PHI Health has implemented to extract measurable value from AI-enabled digital twin efforts.

-    Guiding the industry in designing deployment plans for digital twins
-    Reviewing the readiness and needs of assets
-    Aligning internal and external stakeholders and discovering available solutions
 

Digitalization must lead to value; ideally, one can get it early and keep adding to it. In this session, we will demonstrate how a Digital Twin Knowledge Graph created for existing assets is at the heart of solutions that deliver value immediately, with the option to scale to other assets in the future.

Ceritas, and Red Trident will be discussing two case studies of how HBOM and component level analysis can be leveraged to improve OT cybersecurity and improve operational uptime. Each example, one from the upstream sector and one from the LNG space provides unique but highly transferable lessons and best practices that can be utilized by OT operators across the energy sector. Leveraging Hardware Bill of Materials (HBOM) vulnerability analysis and taking basic remediation steps critical infrastructure can be secured before there is an attempted breach lowered the attack surface of both organizations. This talk will discuss the setup, data requirements, implementation process, timeline, and both immediate and lasting results of these two HBOM deployments.

•    The need for precision in measuring methane emissions in marginal, orphan, idle, and abandoned wells
•    The role of measurement and surveillance in methodologies used to calculate carbon credits
•    Comparing and contrasting the methodologies and measurement strategies
•    Analytics for both measuring and calculating carbon emissions, carbon credits
•    The role of blockchain and registries

-    Showcasing innovations such as LoRaWAN communication which unlock a new equilibrium between price and performance
-    Understanding why major players implement digital twins in partnership with IoT
-    Highlighting the Shell Energy and Chemicals Park Rotterdam proactive approach to reducing downtime and hazards by implementing wireless I-IoT sensors
 

-    Introducing the emerging IoT trends, their impact on the industry and implications for key stakeholders
-    Presenting use cases that have enabled the successful implementation of sensors
-    Reviewing solutions available for the oil & gas industry
 

This presentation will piece together the available systems and solutions pushing the boundaries of the oil and gas industry in an era of fast-paced change, increased resource demand, and the pressing need to prove ESG compliance. 

-    Understanding the Current landscape of IoT sensor
-    Determining measurements sensors target and these fit into the organization structures 
-    Identifying changes needed to guarantee successful implementation
 

-    Discovering how IoT can help your company's ESG performance 
-    Understanding how to quantify the impact of oil & gas operations on the environment
-    Accelerating sustainability through IoT and monitoring air and water quality, detecting leaks, and spills
 

Graph data management platforms provide an unequaled ability to unify and mobilize data sourced from across the enterprise. Knowledge graphs enable comprehensive analyses of business-critical entities and the relationships between them at scale. In the energy industry, knowledge graphs underpin intelligent applications supporting Digital Twins, Supply Chain, Logistics, Network Optimization, Preventative Maintenance, Data Discovery, IoT, and Generative AI. Learn how to leverage an enterprise knowledge graph as an analytics system of record to power your next-generation intelligent applications and services.

This use case will include a detailed review of IIoT level solutions and pressure solutions from Chevron.

- Guardians of the Realm against Digital Monsters 
- Edge Fortifications: Building Cyber Castles 
- Magic Items for Defense: Cutting-Edge Technologies 

•    Safety Enhancements: Real-time improvement of risk identification and mitigation
•    Human Efficiency: Automating routine tasks and supporting intelligent data-driven decision-making
•    Emissions Reduction: Leveraging intelligent control for energy optimization, emissions, and footprint reduction
•    Remote and Autonomous Operations: Enabling remote monitoring and autonomous control, reducing the need for on-site presence, and paving the way for more efficient, resilient systems
 

• Overview of recent research into the business case for adopting digital twins for complex facilities based on academic literature and formal interviews with owner-operators
• Presentation of a model for understanding how to measure value derived from insights from complex process facility digital twins from various perspectives
• Highlights from a real world case example were a digital twin model was used to successfully mitigate a major delay to construction and commissioning of a complex facility asset

The future of controls strategy development will migrate from a costly, manual, error prone onsite process to an iterative software defined, collaborative process with autonomous testing and deployment. Come envision the possibilities of control loop development and deployment enabled by Red Hat.

-    Gathering and processing oil rig subsea data using edge computing solutions to minimize latency
-    Modelling the data, adding context, and saving to a local historian
-    Transforming data using edge computing and publishing it to a unified namespace

The Blockchain for Energy Technology Committee offers guidance on cybersecurity, technology integration, and seamless connectivity. 

- IT Cyber Security Engineer Ozzie provides expertise in safeguarding critical infrastructure from emerging cyber threats. 
- Dirk-Jan shares insights on how interoperability can transform energy systems. 
- Lisandro focuses on innovation in mixed technology using Digital Twins, Artificial Intelligence, and IoT. 
- Krisinha, a Software Engineer, highlights the intricacies of developing, testing, and deploying blockchain applications.  

• Exploring the relationship between Smart Contracts and Blockchain
• Understanding business interaction through the digital ledgers
• Navigating the interconnected platforms to ensure seamless integrated ways of working
• It all comes down to data

•    Addressing and mitigating the risks across the blockchain ecosystem and digital identity systems in the oil and gas industry
•    Integrating blockchain-based digital identity systems with existing infrastructure, legacy systems, and industry standards
•    Fostering collaboration among industry stakeholders to verify the identity and authenticity of suppliers, contractors, and subcontractors and reduce redundant verification processes

-    Overcoming the challenges of building a permissioned network to support decentralized applications using Hyperledger Fabric between O&G companies
-    Developing decentralized applications for an E&P Oil and Gas Consortium
-    Exploring the blockchain potential for the energy transition
 

• Discussing the limitations of traditional data historians for centralizing and sharing industrial data
• Centralizing data across multiple sites
• Integrating AI and ML tools for analytics
• Sharing data with internal and external stakeholders
• Future-proofing data systems by integrating open-source technologies

-    Determining the impact of connected mobile ecosystem on workforce productivity and efficiency  
-    Understanding the challenges of managing diverse mobile devices and applications and how to address them
-    Aligning business objectives, technology requirements, and regulatory compliance 
-    Promoting employee engagement and mobile-first culture within organizations

Oil and gas operators gather increasing amounts of digital information from their assets through IoT data, visual digital twins, mobile imagery, and other data helpful in determining the physical condition and operating performance of their site's assets. This interactive presentation will demonstrate how innovative energy operators harness their digital data's power through effective visual data management and analytics to improve asset insights and strategic plant oversight to improve TAR and capital project planning processes, leading to reduced costs and schedule risk while improving worker safety.  

An overview of a practical approach to how an organization considers third-party risks manages ongoing relationships, anticipates, and mitigates disruption or incidents related to external entities.