Data Mining Analytics for Geothermal Power Plants

Abstract

In a geothermal power plant information is constantly collected from sensors and measurement parameters during operation. Data from wells, pipelines, separators, production parameters, and reiniection parameters correlate directly with the behavior of the power plant and the level of power production. For this collection of data an extensive operational database is usually required. With the recent increase in data mining and analytics techniques, several alternatives are available in the market that can be adapted for a geothermal power plant, however in this paper, a cost effective approach into data acquisition, storage, analyse and modelling is described. This type of models can be adapted into many different streams of data, be it automatic data acquisition, manual data acquisition or a mix of both and can produce a fairly accurate description of the power plant and field operation.