Predictive Data Mining Techniques for Production Optimization

This paper presents an approach, how predictive data mining models can be used to enhance and accelerate production of hydrocarbon reservoirs. The whole knowledge discovery process, combined with the automation of the data-flow bears significant potential for improving the current production practice. Predictive data mining models can perform different tasks. When they are applied automatically (i.e. scheduled after the acquisition of new data), they can reduce the workload of the knowledge workers significantly. These models act as gatekeeper, looking at the quality of data, as well as behavioral changes of wells or whole production systems.