Without truly examining and considering data received as a result of tiered automation strategies, surveillance becomes nothing more than a “just-in-case” backup plan, which can provide no preventative protection. But by implementing innovative business solutions, then thoroughly analyzing the implications of all data and acting on the conclusions, your business can experience transformed operations.
By integrating data management software with your newly implemented surveillance, you can turn raw data into actionable information and easily track the impact of small changes in operations. This will improve production planning and help in scheduling proactive maintenance. Access to this information, together with a means to decipher its implications, enables informed decisions based on what is happening in the field and creates a platform for effective remote collaboration and problem solving.
The diagnostic capabilities of technologies like Coriolis provide simple methods for analyzing data such as flow measurement. The system can reconcile tank volumes with liquid volumes to check for over measurement, avoiding loss of gas and preventing royalty disputes. One operator estimated that using flow data dump cycle analysis to minimize gas lost to flare resulted in a recovery of $72,000 per day in gas revenues, from 1,200 wells in a field.
Accurate flow measurement is the only way to really account for fiscal and custody transfer applications. The meter must maintain a specified level of accuracy to comply with industry standards and regulations, and the only way to ensure optimal performance is through routine calibration and proving.
Fiscal Data Analysis
Every little bit makes a huge difference when it comes to fiscal impact. Even 0.1 percent uncertainty in a metering system can result in a $1,000 loss per day if undetected, a miscalculation that could be easily corrected with meter diagnostics. Analytical tools add assurance of meter performance, saving time and resources that would otherwise be lost.
In addition to losses from erring meters, plants operating without real-time automation suffer from longer periods of downtime when machinery does break down. Instead of a profit, plants see valuable earning potential go to waste as workers try to identify the problem and then to fix it, not to mention costs for emergency repair service teams.
Real-time optimization takes information gathered from the field to the control rooms, where it can be validated across several visualization fields, stored for easy access, and analyzed to ensure optimal performance. If necessary, actions can be taken based on this information analysis that can streamline workflow and enable smooth management and control of operations.