There are almost always new challenges with well completions. The answer is in managing, assessing, and creating strategies and scaling solutions for these challenges. One of the crucial aspects that completion operations tackle is accurately identifying and measuring non-productive time (NPT).
There are numerous factors and scenarios that could stop or slow down completion progress. Considering that time and cost are two of the most crucial success factors, reducing NPT significantly impacts overall spending.
We can group the process into two main parts (Wireline and Fracking). In order to view the wireline and fracking activity in real-time and, of course, to make changes if necessary, we need powerful and automated visualization.
Completion Engineers require a tool with an interactive interface for data streaming that they can use for monitoring and decision-making.
FracSol TWM enables this automated, unmanned tracking and measurement system, where fracking, as well as the wireline actions, are acquired, visualized, and calculated in real-time.
Track the breakdowns of your Fracking (Pressure testing, PAD, flush or pump off) and Wireline (Run in / Pull out of Hole and Static) activities. Stack and analyze per stage, well, or pad level.
FracSol TWM uses these breakdowns to automatically select certain sub-events and analyze the stage's activity to estimate NPT based on predetermined rules and machine learning algorithms.
We can identify and measure where operators lose most of their time, where they are gaining them back, and where they can optimize to achieve the most efficiency.
The workflow can then be stacked up, each sub-activity can be outlined and reveal areas that are going smoothly, where they are moving promptly, and where they aren't.
Right then, these unproductive times could be mitigated and planned more carefully for future pads and wells.
Automated frac and wireline detection give your team instant access to the instant completion events, delivering timely information to the engineering team.
This will give your team the power to instantly assess wireline status, verify P&P placement, rapidly perform lookback analysis, prevent pumped-off or stuck guns, and cut swap over periods to accelerate completions.
In conclusion, engineers can easily track and view KPIs across wells, enabling them to rapidly identify best practices and continuously improve completion performance in real-time.
Pattern recognition-enabled learning process will empower and assist to discover regularities and classifying them into various categories for further decision-making.