Element 09 · IOGP 510
Monitoring, Reporting and Learning
Purpose
To define how performance, events, weak signals and lessons are captured, reported and learned from. This is also where findings originate that feed into the MoC process in Element 5.
The challenge it forces
"A weak Element 9 reveals itself in two ways: the organisation either doesn't know it has a problem, or it knows but the information cannot travel to a decision-maker. The deeper test: when this element produces a finding, does it actually trigger an MoC? If not, the framework is leaking."
What lives here
- ·KPI frameworks and performance dashboards (Engineering KPI Framework, Supplier KPI Framework, HR KPIs)
- ·Non-conformance and failure reporting (Technical Failure Reporting, Incident & Near Miss Reporting)
- ·Lessons-learned systems (Lessons Learned Register, Offset Well Reviews)
- ·Trend and reconciliation reporting (Reserves Reconciliation, Production vs Forecasting Analysis, Spend Analysis Dashboard)
- ·Action tracking
- ·Engagement and exit feedback (Engagement Surveys, Exit Interview Process)
What does not live here
- →The targets the KPIs measure againstE1 Commitment
- →The MoC process itself — findings here feed into MoC, but the process lives inE5 Risk
- →The independent challenge of the dataE10 Assurance
By department
IOGP 510 source content
IOGP statement
Successful implementation of an OMS depends on clearly understanding whether or not risk controls/barriers are functioning well and operations are delivering planned performance. This requires vigilant monitoring, accurate and complete reporting, and insightful analysis.
IOGP expectations
- 1.Processes monitor, measure, verify, validate and record characteristics of operations and products.
- 2.Incidents, events and non-conformances are reported, recorded, classified and investigated.
- 3.Processes learn from incidents and implement remedial actions (with application of MoC as appropriate); verify closure of actions.
- 4.Processes establish leading and lagging KPIs.
- 5.KPIs are regularly reviewed for meaningful information; data quality is reviewed.