Instrol provides expert analysis of measurement risk and financial exposure to ensure that reported oil and gas quantities comply with regulatory standards. We offer comprehensive support for maintaining compliance and ensuring accuracy in the measurement and reporting of gas and liquid hydrocarbons.
With over 17+ years of experience in uncertainty analysis, our engineers have worked across a wide range of systems, metering configurations, and fluid types.
Instrol follows a standardized and rigorous procedure for uncertainty analysis. We begin by identifying all potential sources of uncertainty within each measurement system. When a defined algorithm governs the relationship between input variables, we apply it directly; otherwise, we use primary assessment methods such as the Root Sum Square (RSS) approach to determine overall uncertainty.
When algorithms are present, we calculate the sensitivity of each uncertainty component using either Partial Derivative or Finite Difference methods. These values are then combined using the RSS method to produce the final uncertainty result.
To ensure precision, our results are numerically verified through Monte Carlo Simulation-based Uncertainty Analysis. This step ensures alignment within 0.01% of the RSS results, offering clients a high degree of confidence in the accuracy and reliability of our findings.
