Engineering, Digital Systems & Technical Studies
Design, software and engineering-support enquiries with named deliverables and agreed responsibility boundaries. Existing data, software ownership and integration requirements shape the scope.
Concept, FEED and detailed engineering
Concept engineering defines and compares project approaches, FEED develops a selected design basis and detailed engineering produces specified construction or procurement deliverables. Each stage has different inputs and maturity requirements.
New projects, modifications and equipment packages use discipline-specific or integrated engineering support. Scope depends on the project stage and existing design information.
Specify deliverable lists, disciplines, design responsibility and review process. Procurement support and site services should be identified separately.
Process safety and reliability studies
Process-safety studies examine defined hazards and protective arrangements, while reliability studies evaluate specified performance and availability questions. Their methods and deliverables depend on the project's decision needs.
Design reviews and operating-asset assessments use studies such as HAZOP or reliability analysis where appropriate. Good design and operating data are essential inputs.
Define study boundaries, methodology, participants and outputs. Action closeout and engineering implementation are separate responsibilities unless included.
Automation integration and commissioning
Automation integration connects control functions, interfaces and software within a defined system architecture. Commissioning verifies specified functions and supports the agreed transition to operation.
Control-system upgrades, plant modifications and new installations use these services. Existing versions and operational constraints affect migration planning.
Define functionality, interfaces, tests and handover records. Hardware supply, licensing, programming and site support should have separate boundaries.
Asset data, monitoring and digital integration
Asset-data and digital-integration services organize information and connect systems for specified operational uses. Monitoring implementations collect selected signals and present them within an agreed data and application architecture.
Maintenance, production and engineering teams use these services for asset registers, historians and defined analytics. Available data quality affects achievable deliverables.
Specify data sources, ownership, interfaces and outputs. Platform licensing, engineering and ongoing operation should be identified separately.
Reservoir modelling and interpretation services
Reservoir modelling and interpretation services use subsurface data to develop agreed technical representations or study conclusions. The work combines defined assumptions, data quality assessment and specialist analysis.
Exploration and field-development decisions use studies addressing particular geological or production questions. Available well, seismic and fluid data shape the scope.
Define study objectives, models, software environment and review requirements. Data preparation, interpretation and updates may be separate work packages.
Technical training and competency support
Technical training develops specified knowledge or skills for a defined audience. Competency support adds agreed assessment or documentation relevant to the activity, equipment or discipline involved.
Industrial teams use training during onboarding, equipment changes and professional development. Participant experience and task requirements determine suitable course depth.
Specify objectives, participants, format and assessment needs. Any required certification must be named and verified for the actual course or provider.