Why Predictive Maintenance in Oil & Gas Digi Conference

At a time when the oil and gas industry faces more uncertainty than ever before, data is your most valuable asset. Predictive and prescriptive asset maintenance allow you not only to improve asset productivity, but to better understand your business as well. By leveraging IoT and AI, you can see what is happening, what has happened, and what is likely to happen, enabling you to enhance safety, reduce costs, improve efficiency and increase productivity.

Yet while some oil and gas businesses are taking advantage of predictive technologies in some form, most are not capturing the significant value it offers. The Predictive Maintenance: Oil & Gas DigiConference, is the meeting place for the region’s industry influencers and decision makers when it comes to all things around the future of maintenance.

From new technology innovations, integration and legacy assets to workforce education and effective data capture, join your peers and other thought leaders as we dive into the critical issues which could enable you to transform the way you plan and execute your maintenance strategies.

150+

Attendees

50+

Decision makers from the oil and gas sector

15+

Speakers and Panellists

5+

Media Partners

10+

Countries Represented

Speakers

Abdullah Al Dhafer

Manufacturing – Operational Excellence Division Head, Yasref

Abhay Bhargava

Senior Director – Industrial Practice Middle East South Asia, Frost & Sullivan

Dr. Ali Al Shehhi

Manager, Business and Operations Department, Digital Unit

Arnab Bhattacharya

Director, Deloitte

Andrei Sleptchenko

Ass. Professor, Department of Industrial and Systems Engineering, Khalifa University

Andrew Worthing

Maintenance Management Systems Team Lead, PDO

Awad El Siddig

Team Leader, AI & Analytics, ITD – Information Technology Division, ADNOC Distribution

Lee Johnson

Senior Manager, Maintenance Management Systems, PDO

Saeed Mubarak

Founder, The Road to the Digital World, Chairman, SPE Digital Energy Technical Section

Steven Young

Maintenance Team Leader, SNOC

Syed Adnan Ali

Former Project Management, IT Service Management and Enterprise Architect, Qatar Petroleum

Who Will Attend Predictive Maintenance in Oil & Gas Digi-Conference?

Chiefs, Heads and Engineers from the following departments:

  • Information Technology
  • Operating Technology
  • Preventative & Predictive Maintenance
  • Maintenance
  • Data Analytics & Data Science
  • Inspection
  • Asset Integrity
  • Asset Management
  • Digital Transformation
  • Shutdowns & Turnarounds
  • Process Information and Automation
  • Plant Management
  • New Technology
  • Transformation, Continuous Improvement and Operational Excellence
  • Business Continuity Planning

Why get involved?

Get in front of your target market

Get access to key oil and gas stakeholders involved with ongoing and upcoming predictive maintenance in the region and get insight into their plans to invest in new technologies and spot opportunities.

Raise your brand awareness

Opportunity to position your brand as one of the leading companies in the sector to help stakeholders and project owners achieve their targets

Increase your competitiveness

Learn about the challenges faced by the region’s key organisations and identify how you can provide them with customised solutions to help them overcome them

Generate strong leads

Learn about maintenance requirements of key oil and gas companies and influence decision makers and stand a chance of being shortlisted for upcoming projects

Who Should Exhibit & Sponsor?

API Technology Solution Providers

Core Digital Banking

Network and Application Security

Data Integration and Analytics Service Providers

Conference Program

TIME CONFERENCE PROGRAM
10:00 Welcome remarks
10:05 Panel discussion – Overcoming current barriers to successful predictive maintenance implementation

  • Integrating asset management and predictive maintenance technologies
  • Building your business case and roadmap for the transition from preventive maintenance to effective predictive maintenance
  • Upskilling your workforce for the future of maintenance
  • Adding effective data analytics and utilisation into your operations
  • Combining remote support and predictive maintenance to create a comprehensive view of equipment in all environments
  • Assessing predictive maintenance strategies and technologies for your rotating and static assets

Steven Young, Maintenance Team Leader, SNOC
Abdullah Al Dhafer, Manufacturing – Operational Excellence Division Head, Yasref
Abhay Bhargava, Senior Director – Industrial Practice Middle East South Asia, Frost & Sullivan

10:55 Keynote presentation – Where can predictive maintenance help your competitive advantage?
11:10 Technical presentation – Successful integration of predictive maintenance technologies in brownfield assets

  • Improving overall equipment effectiveness and extending the remaining useful life of ageing assets
  • Paving the way for brownfield IoT success through the introduction of state-of-the-art sensors and connected devices, from seismic and corrosion to wearables and remote support
  • Evaluating scalable IIoT and digitalisation solutions for your brownfield assets

Andrew Worthing, Maintenance Management Systems Team Lead, PDO
Lee Johnson, Senior Manager, Maintenance Management Systems, PDO

11:30 Innovation technology session one
This session will highlight latest technologies in predictive maintenance. The session consists of 10-minute back-to-back presentations from experts in the industry who will provide insights and case studies on the successful application of a variety of predictive maintenance innovations.

  • Industry insight 1
  • Industry insight 2
12:00 Panel discussion – Advanced analytics: taking maintenance operations to the next level

  • Building data that you can trust, understand and utilise for effective maintenance planning
  • The role of advanced analytics in reducing asset failure, shutdowns and production interruption
  • Monitoring asset health and performance easily in the cloud
  • Cutting downtime, costs and wasted resources through real-time data analysis
  • Capturing and democratising data through advanced sensors and real-time dashboards to break down silos and reduce response times

Awad El Siddig, Team Leader, AI & Analytics, ITD – Information Technology Division, ADNOC Distribution
Saeed Mubarak, Founder, The Road to the Digital World, Chairman, SPE Digital Energy Technical Section
Arnab Bhattacharya, Director, Deloitte
Andrei Sleptchenko, Ass. Professor, Department of Industrial and Systems Engineering, Khalifa University

12:55 Innovation technology session two
This session will highlight latest technologies in predictive maintenance. The session consists of 10-minute back-to-back presentations from experts in the industry who will provide insights and case studies on the successful application of a variety of predictive maintenance innovations.

  • Industry insight 1
  • Industry insight 2
13:25 Technical presentation – How 4IR technologies are transforming the business of asset reliability

  • Leveraging the 4th industrial revolution to enhance efficiencies, optimise performance and unlock value
  • Maximising the potential automation opportunity to enhance the operation and management of assets
  • How to predict and prevent asset failure with machine learning
  • Visualising your assets in real-time through the adoption of Digital Twins
  • Incorporating 3D printing into your maintenance planning for more efficient solutions

Dr. Ali Al Shehhi, Manager, Business and Operations Department, Digital Unit, ADNOC

13:45 Close of Conference

Conference Format

Knowledge Partner

Sponsorship Opportunities

We have a diverse range of sponsorship opportunities available. A member of the sponsorship team will work with you to create a bespoke package to suit your business objectives. For more information email partnerships@gmevents.ae or call +971 4 568 7800

Primary Free of charge
Solution Provider 200 USD + 5% Tax 210 USD