Plenary Session 2

Plenary Session 2: The Digital Engineer Wednesday, 28 March 11:00 to 12:45, Polar Room Moderator: Jim Crompton, Manager of Upstream IT Architecture, Chevron Speakers: Deanna Alaniz, Upstream Learning, BP Dr. Iraj Ershaghi, PE Dept Head / Digital Engineer Specialist, University of Southern California Nathan Tabb, Machinery Support Centre Deployment Coordinator, Chevron Roy Borkhoche, Reservoir Engineer, Baker Hughes
Plenary Description As we move into the second decade of intelligent energy, it has become obvious the competencies required need to be the technical and IT mix we might call a “digital engineer”. As we change the way we operate our business and as the knowledge base continues to shrink across the Upstream, a new breed of engineer will need to emerge to meet the challenges ahead. We’ll discuss some of the challenges and mitigations, such as restrictions of today’s processes and mindsets, understanding what is truly possible, designing and developing new methods of enhanced decision-making, automating workflows, and then demonstrating value from integrating those workflows. We’ll have a few viewpoints offered addressing our needs going forward, then conduct an open panel discussion with Q&A.
Expectations for Next Generation of Decision Making: “Two teams working as one” between field and office Network with other locations and organisations to access true experts Increase scope and degree of processes managed Automatic solution generation based on historic experience Rapid-response think tanks to respond to new situations Ability to model effect of decisions Re-invention of competencies, roles and positions
What skills do we need to respond to the challenges? (“Digital Engineer”) Future solutions will require us to change the way we use and relate to information and technology: Integrated reservoir and surface facility optimisation Real-time data queries for applicable lessons learned Smart monitoring and predictive analysis Virtual, collaborative communities of expertise for decision making Highly mobile access to information Simplified, standardised, integrated and highly automated workflows and petrotechnical work environments Common data architecture

Plenary Session 2: The Digital Engineer

Wednesday, 28 March 11:00 to 12:45, Polar Room

Moderator:
Jim Crompton, Manager of Upstream IT Architecture, Chevron
Speakers:
Deanna Alaniz, Upstream Learning, BP
Dr. Iraj Ershaghi, PE Dept Head / Digital Engineer Specialist, University of Southern California
Nathan Tabb, Machinery Support Centre Deployment Coordinator, Chevron
Roy Borkhoche, Reservoir Engineer, Baker Hughes

Plenary Description

As we move into the second decade of intelligent energy, it has become obvious the competencies required need to be the technical and IT mix we might call a “digital engineer”. As we change the way we operate our business and as the knowledge base continues to shrink across the Upstream, a new breed of engineer will need to emerge to meet the challenges ahead. We’ll discuss some of the challenges and mitigations, such as restrictions of today’s processes and mindsets, understanding what is truly possible, designing and developing new methods of enhanced decision-making, automating workflows, and then demonstrating value from integrating those workflows.

We’ll have a few viewpoints offered addressing our needs going forward, then conduct an open panel discussion with Q&A.

Expectations for Next Generation of Decision Making:

“Two teams working as one” between field and office
Network with other locations and organisations to access true experts
Increase scope and degree of processes managed
Automatic solution generation based on historic experience
Rapid-response think tanks to respond to new situations
Ability to model effect of decisions
Re-invention of competencies, roles and positions

What skills do we need to respond to the challenges? (“Digital Engineer”)

Future solutions will require us to change the way we use and relate to information and technology:

Integrated reservoir and surface facility optimisation
Real-time data queries for applicable lessons learned
Smart monitoring and predictive analysis
Virtual, collaborative communities of expertise for decision making
Highly mobile access to information
Simplified, standardised, integrated and highly automated workflows and petrotechnical work environments
Common data architecture