Production Surveillance in Under Five Minutes.
As a producer, it is important to be able to quickly narrow focus to specific assets requiring additional attention and prioritize efforts to achieve optimal performance. In this short blog, I will demonstrate a quick and powerful workflow I have often utilized as a Production Engineer. This workflow will help you zone in on those assets requiring additional TLC.
- How is corporate production this week? How does it vary from the prior week?
- Which assets are contributing to any weekly variance?
- Are these assets underperforming compared to a theoretical capability?
HOW IS CORPORATE PRODUCTION THIS WEEK? HOW DOES IT VARY FROM THE PRIOR WEEK?
As a starting point I must know how current production compares to the prior week production. The chart below shows corporate total production for the week along with the variance from the prior week. Is there a positive or negative variance? Is that variance expected, or unexpected?
Figure 1: Corporate Total Weekly Production Summary with weekly variance
- Separate the different Y axis’s by clicking the icon with the two arrows pointing towards one another in the quick bar.
- Add Chart data in a tabular form by clicking the Data Viewer icon in the Quick Bar.
Group the corporate total weekly production by Area or Facility to get an overview of how each area is performing and contributing to total production. In Figure 2a, I have grouped corporate production by area, you can see my highest contributing asset to total production is ‘Wabasca River’.
Figure 2a: Weekly Production Summary by Area in ‘Group by Variable’
- ‘Group By Variable’ will show you all groups with a single Variable within a chart.
- ‘Group by Group’ will show you all Variables for a single Group within a chart.
Figure 2b: Weekly Production Summary by Area in ‘Group by Group’
- When you’re not able to utilize VERDAZO live in those weekly production meetings, try exporting the Group by Group Chart image(s) to PDF for a handy hard copy reference.
Once I have gained insight into the weekly production summary by area, where might I go from here?
WHICH ASSETS ARE CONTRIBUTING TO ANY WEEKLY VARIANCE?
To investigate this further I will make use of a very useful feature in VERDAZO which allows a user to drill intro contributing data then sort the tabular data AND Chart scroll order!
With a simple double click on any data point in the Chart I am taken into the tabular data tab. Simply double click again to drill into to the Contributors Tab. Sort the contributing data by a left mouse click on any column header, this sort order is maintained in the Chart and Membership explorers even when you close the table tab and go back to the Chart.
Referring to Figure 3 below, in the period starting Dec 10, 2015 the highest weekly wellbore rate variance is negative 335 BOE/day. Variance variables can also be configured to return percent or total volume variance.
Figure 3: Weekly Contributor Data Sorted by Variance in Gross Total Production (BOE/day)
- Transpose the data in the table via right mouse click to make viewing and sorting the data easier
Well this is a fantastic start! I’ve now isolated assets with the highest weekly variance for further investigation but let’s keep going…
One of the most useful features in VERDAZO to further investigate assets for additional review is the ability to run any asset from one Chart into another. For example, I know the negative 335 BOE/day variance well has a progressive cavity style pump. I’m going to run this well into the “PC Pump Analysis” Chart to further investigate total fluid rates, fluid levels, torques, pump speed and pressures etc.
Figure 4: Run a Select Asset or Grouping of Assets from one Chart into another
- To run an asset or grouping of assets into another Chart right click on the asset from either the chart legend, or any entry in the Table Tab and select one of the “Run Chart” menu options.
- To run an asset into another Chart, the Chart you would like to run from the current Chart must be saved in the same folder within the chart explorer.
ARE THESE ASSETS UNDERPERFORMING COMPARED TO A THEORETICAL CAPABILITY?
“How does weekly production compare to theoretical capability?”
To gain insight into this question that is so frequently asked, I will utilize a Chart within VERDAZO that returns a capability value for each wellbore based on client customized logic.
The stacked grey bars in Figure 5 below represent actual production where the colored stacked bars on top of the actual production represent lost production by downtime type. The black line represents the capability for this particular asset or grouping of assets. You can see that in late April and early May of 2015, there is a significant amount of lost production due to ‘Third Party Unscheduled’.
Figure 5: Weekly Production vs Capability (BOE/day
Utilize the drill down capability within VERDAZO to further investigate and prioritize particular assets that may be underperforming versus their capability.
Figure 6: Contributor data sorted by Lost Production – Controllable (BOE/day)
- Create a User Calculated Variable to break down the lost production into Controllable vs Uncontrollable. Sort the data on the ‘Lost Production – Controllable (BOE/day)’ to gain insight into underperforming wells due to ‘Controllable’ downtime.
Contact your VERDAZO rep for additional assistance and guidance with setting up calculated variables within VERDAZO.
Figure 7: Using the UCV’s in a Chart – Controlled Lost Production & Uncontrolled Lost Production
That wraps up this short blog on slicing and dicing your data in VERDAZO to isolate those assets that may require additional care and attention. Stay tuned for a follow up blog in early 2021 on well review best practices and asset optimization.
By Colin Rae, P.Eng, Business Intelligence Analyst – VERDAZO Analytics
Contact a VERDAZO Business Analyst or firstname.lastname@example.org for information on the newest release, best practices and date integration opportunities.
ADDITIONAL RESOURCES AND RELATED BLOGS
1All data contained in this blog sourced from VERDAZO Field Data Capture Demo