Introduction
The programme “Operational Data Analysis to Improve Performance” develops professional practice in Oil and Gas. It connects the subject with workplace challenges by examining existing evidence and practices and choosing methods appropriate to the organization and its available resources.
The learning progresses from data analysis and decision support to maintenance planning, work orders, and execution measurement, with practical work on procedure analysis and work simplification, the oil and gas value chain and operations, process safety, barriers, and management of change. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Turn available data into documented analysis that supports a specific professional decision in an application related to “Operational Data Analysis to Improve Performance”.
- Redesign a procedure to reduce delays and rework while maintaining controls.
- Analyze an oil and gas value chain process and connect performance to reliability and safety.
- Analyze an operational hazard scenario and review barriers and change control responsibilities.
- Build a maintenance plan and work order connecting asset criticality, resources, and documentation.
Learning areas
1. Data Analysis and Decision Support
- Frame an analytical question linked to a specific decision, and define the unit of measurement, time period, and data needed to answer it.
- Check data quality for completeness, accuracy, consistency, and duplication, and document cleaning steps and limitations on reliance.
- Select appropriate comparisons, indicators, and charts, and distinguish statistical correlation from causal explanations of results.
- Interpret results in the work context, test assumptions and unusual values, and present alternatives and their associated uncertainty.
- Prepare an analytical report containing the finding, recommendation, data source and date, review owner, and next follow-up step. The application examines a case related to “Operational Data Analysis to Improve Performance”.
2. Procedure Analysis and Work Simplification
- Define the procedure's start, end, owner, inputs, and outputs, and collect data on processing time, waiting, and rework.
- Map the actual workflow between roles, identifying approvals, handovers, bottlenecks, and duplicate data entry.
- Analyze the value added by each step and the controls it provides, and propose combining, removing, or running steps in parallel with reasons for the choice.
- Document the improved procedure with clear authorities, forms, timelines, and standards, and review its effects on beneficiaries and delivery teams.
- Test the procedure on a limited case, measure time, errors, and output quality, and document adjustments and the rollout plan.
3. The Oil and Gas Value Chain and Operations
- Understand the links between exploration, development, production, processing, and transportation, and define process boundaries, participants, and intended outputs.
- Read a training process diagram, identifying material and energy flows, measurement points, critical equipment, and their relationship to product quality.
- Analyze production, downtime, losses, and resource consumption data, distinguishing measurement problems from process or equipment problems.
- Define coordination requirements among operations, maintenance, safety, and contractors, and document handovers and changes under facility procedures.
- Prepare a process improvement proposal covering hypotheses, controls, resources, and review criteria, using a training case without unauthorized field operations.
4. Process Safety, Barriers, and Management of Change
- Identify sources of hazardous materials and energy and process boundaries, distinguishing process safety from individual occupational safety in the case presented.
- Analyze the sequence, causes, and consequences of a hazardous event, and identify preventive and mitigating barriers and evidence for verifying their readiness.
- Review work permits, isolation, and coordination among parties under facility procedures, and identify hold points requiring specialist approval.
- Prepare a change request identifying its rationale, risks, and effects on documents, training, and emergencies, with technical review before implementation.
- Conduct a tabletop exercise involving a hypothetical barrier failure or leak, and document escalation and response actions, lessons, and the subsequent verification plan.
5. Maintenance Planning, Work Orders, and Execution Measurement
- Inventory assets and build a hierarchy, coding system, technical data, and maintenance history, classifying criticality by safety, service, and cost.
- Select a mix of preventive, condition-based, and corrective maintenance, connecting the decision to failure modes, data, and manufacturer instructions.
- Plan the work order's scope, resources, materials, time, isolation, and permits, and define readiness conditions before scheduling.
- Organize schedules, shutdowns, and equipment handovers between operations and maintenance, recording actual work, causes, parts, and time.
- Analyze backlog, recurrence, plan compliance, and reliability, and propose documented adjustments to maintenance tasks and their frequency.
Practical outputs
- A dashboard and decision memo explaining the data, assumptions, and alternatives.
- An improved procedure map, service profile, and acceptance criteria for implementation.
- An oil operations process map, requirements matrix, and operating indicators.
- A register of risk scenarios and barriers, and an operational change review plan.
- A maintenance plan, work schedule, work order card, and monitoring indicators.
Who should attend
- Engineers, technicians, supervisors and operations staff whose work relates to the programme subject.
- Managers and teams working in oil and gas, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “Operational Data Analysis to Improve Performance” within their organizations.
Prerequisites
- Working familiarity with the programme field and the ability to discuss a professional case or challenge.
- Confirm the suitability of your experience and any specialist prerequisites with the Union before participation.
Conclusion
The programme “Operational Data Analysis to Improve Performance” brings together concepts, case review and a practical application. Participants prepare steps that can be adapted to their responsibilities and organizational resources, with an indicator to follow application and review results after returning to work.
Participation arrangements and any special requests are specified in the confirmation issued by the Union.