Introduction
The programme “Using Predictive Analytics to Reduce Accidents” develops professional practice in Oil and Gas Safety. 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 reliability, predictive maintenance, and failure analysis to the oil and gas value chain and operations, with practical work on data analysis and decision support, process safety, barriers, and management of change, occupational safety, risk assessment, and prevention. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Analyze asset failure and condition data to define a justified warning and maintenance intervention in an application related to “Using Predictive Analytics to Reduce Accidents”.
- Turn available data into documented analysis that supports a specific professional decision.
- Analyze an operational hazard scenario and review barriers and change control responsibilities.
- Prepare a work risk assessment and prevention and response plan based on the hierarchy of controls.
- Analyze an oil and gas value chain process and connect performance to reliability and safety.
Learning areas
1. Reliability, Predictive Maintenance, and Failure Analysis
- Define the asset's function, functional failure, and usage context, and assess the effects of failure modes before selecting a maintenance task type.
- Organize fault, downtime, repair, and condition reading histories, checking the quality of timestamps, classifications, and record completeness.
- Analyze trends, vibration, temperature, or other appropriate condition indicators, linking alerts to documented thresholds and specialist technical review.
- Distinguish correlation and prediction from proof of a failure's cause, and assess false and missed alarms and warning lead time before intervention.
- Design a condition monitoring pilot for a training asset, with escalation criteria and documentation of the maintenance decision, and verify the intervention's effect on reliability. The application examines a case related to “Using Predictive Analytics to Reduce Accidents”.
2. 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.
3. 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.
4. Occupational Safety, Risk Assessment, and Prevention
- Identify task hazards, exposed people, and site conditions, gathering information from observations, records, and equipment instructions.
- Estimate the risk level and select appropriate controls from elimination, substitution, engineering controls, administrative controls, and personal protective equipment.
- Review work procedures, permits, isolation, communication, and supervision according to the task, and define responsibility for stopping unsafe work.
- Analyze an incident or near miss using facts and evidence, examining systemic causes and failed controls beyond blaming individuals.
- Prepare a tabletop emergency exercise and an inspection, awareness, and follow-up plan, assigning field execution to qualified personnel under approved procedures.
5. 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.
Practical outputs
- A failure mode analysis, condition monitoring plan, and alert and review rules.
- A dashboard and decision memo explaining the data, assumptions, and alternatives.
- A register of risk scenarios and barriers, and an operational change review plan.
- A task risk assessment and an inspection, training, and response plan.
- An oil operations process map, requirements matrix, and operating 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 safety, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “Using Predictive Analytics to Reduce Accidents” 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 “Using Predictive Analytics to Reduce Accidents” 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.