A dataset of tests in a multiphase experimental plant simulating oil and gas transportation system

The dataset contains measurements collected from an experimental plant configured to simulate an oil and gas transportation system. It includes data recorded under a variety of operating conditions, ranging from normal steady-state behavior to anomalous scenarios such as leakages, obstructions, and deliberate changes in working parameters. These conditions were designed to reflect realistic challenges encountered in actual oil and gas operations. The dataset offers a detailed representation of the system dynamic behavior across different scenarios. It is suitable for developing and testing machine learning models for predictive maintenance and anomaly detection. In control theory, it can support the design and validation of advanced control strategies aimed at maintaining operational safety and efficiency. Furthermore, the dataset facilitates a deeper understanding of the processes governing oil and gas transport, making it a valuable resource for simulation, modeling, and process engineering applications.