Automated Well-test Validation
Petroleum Development Oman (PDO), is a leading exploration and production company in the Sultanate of Oman, delivers the majority of the country’s crude oil production and natural gas supply.
PDO was facing a major challenge in the well testing process. The current process of manually validating well tests was time-consuming and prone to errors. The client needed a more efficient and accurate solution to automate the validation process of checking for well testing.
To ensure the quality of oil exported to international markets meets international standards, many tests must be conducted across the value chain. These tests leverage remote sensing devices to measure gross volume (M3); water-cut; pressure among others.
Unfortunately, from time-to-time sensors fail and/or require re-calibration. Therefore, for a short period of time their results may be incorrect (invalid). Therefore, a team the HQ were tasks with classifying whether a test should be considered reliable (valid) or unreliable (invalid). As you can imagine, this is a labour-intensive and error-prone approach.
PhazeRo developed an Automated Well-Test Validation solution that uses advanced data analytics and machine learning algorithms to automate the validation process of checking for well testing. The solution integrates with the client's existing software systems to extract relevant data and applies machine learning models to detect anomalies and inconsistencies in the data. The solution has significantly reduced the time and resources required for well test validation, resulting in more accurate and reliable data.