Asset performance is often assessed from operating history, management feedback and high-level KPIs. During an acquisition, handover or investment decision, this can leave an important question unanswered: what is the real performance potential of the asset?
Onsieve combines engineering models with operating data to establish expected performance, measure actual performance and quantify the gap between the two. The analysis can then test how performance changes under different operating and maintenance conditions.
What the Analysis Can Show
- Actual versus expected production and efficiency
- Performance losses and their causes
- Degradation and performance trends
- Impact of maintenance frequency and equipment condition
- Effect of operating variables such as pressure, flow, temperature and recovery time
- Forecast performance under alternative operating conditions
- Potential production, efficiency and revenue improvement
From Performance Data to Investment Decisions
The objective is not simply to identify that an asset is underperforming. It is to determine why, by how much, and what can realistically be recovered.
A model can test scenarios before changes are made: more frequent cleaning, different operating pressures, improved maintenance practices, changes in flow or recovery time, or other variables relevant to the asset.
This provides owners and investors with a quantified view of current performance, achievable performance and the measures required to close the gap.
Typical Applications
- Acquisition and technical due diligence
- Asset handover and acceptance
- Investment and refinancing decisions
- Performance improvement programs
- Portfolio benchmarking
- Underperforming asset investigation