Energy Industry Process Mining

Process Mining for the Energy Industry

A work order in the energy industry can pass through operations, maintenance, planning, procurement, and compliance before the work is complete. Each team may record its part in a different system, leaving you without a single view of the full process. Process mining brings timestamped events together so you can see where permits, inspections, approvals, and handovers add waiting time, and where the work itself takes longer.

Why are long energy processes hard to understand?

Energy processes can span several systems and involve handovers over months or years. A work order may move between teams, require a permit, wait for an inspection, and return for more information. Each system shows only part of the journey.

Documents and diagrams describe how a process should work, but they can become outdated as work changes. People know the steps they handle, but may not see what happened before or after. That makes it hard to tell whether a delay came from active work, a queue, a missing approval, or a repeated handover.

Process mining uses event data from the systems that record the work to reconstruct the actual flow. You can compare process paths, see where cases wait, and investigate differences across sites, teams, or process types. Learn how process mining works.

Which processes do energy companies investigate?

Start with a process that has a clear operational question and timestamped records. In energy operations, that could include:

• Work orders, from creation and planning through approval and completion
• Permits, including review, approval, and release
• Inspections, including scheduling, completion, and follow-up
• Procurement steps that hold up planned work
• Handovers between operations, maintenance, engineering, and compliance

The focus is process flow, not equipment reliability. You can identify where work waits or repeats, then validate possible causes with the teams that manage the process.

See what data you need to build an event log for your analysis.

How do you separate waiting time from working time?

Consider a work order that takes 54 hours from creation to completion. Its event log shows 4 hours of recorded work and 50 hours between activities. That changes the question: instead of assuming the task itself is too slow, you can investigate the queues and handovers that account for most of the elapsed time.

For example, check how long the order waited for planning, a permit decision, or an inspection. Compare cases that took different paths, and look for steps that were repeated or sent back for correction. These figures illustrate how to read a case timeline; your results depend on the timestamps and activities captured in your data.

What can process mining reveal about handovers?

A handover can create a queue, trigger a request for missing information, or send work back to an earlier step. By tracing each work order through its recorded events, you can see how often these paths occur and how much time they add.

Compare cases by site, team, work type, or other available attributes. This can help you distinguish a recurring process issue from an isolated delay and give process owners evidence to discuss with the teams involved. For a practical approach to reviewing process paths, see how to analyze your process.

How can you assess a process change?

Once you understand the current flow, document the intended process and use ProcessMind’s process simulation to compare scenarios. For example, you could examine what might happen if an approval path changed or scheduling rules were adjusted.

Simulation helps you assess possible effects on process timing and workload before deciding whether to make a change. It does not make the change or guarantee a particular result. Its value comes from making assumptions explicit and comparing them with the process data you have.

What data do you need to get started?

You can start an analysis in ProcessMind with an existing work-order or permit log. You need a case identifier to connect events to the same process instance, activity names to show what happened, and timestamps to establish when each event occurred. When available, attributes such as site, team, or work type can help you compare cases.

You do not need new instrumentation to analyze a timestamped work-order log. Your results reflect the events captured by your source systems, so check whether the log covers the process steps you want to understand. See the process mining data requirements.

Start with one work-order or permit flow

Choose a process with a focused question, such as where work orders wait for approval or how often permits return for correction. Review the event data, check the main process paths, and validate your findings with the people who manage the work.

If your scope includes utility operations, see the utilities use case for another industry perspective.

Analyze a work-order or permit flow