This paper highlights the results of a test campaign for a tool designed to predict the short-term trends of energy-efficiency indices and optimal management of a production plant. The developed tool represents a step toward digital transformation of production plants through the integration of data analytics and machine-learning methodologies with expert domain knowledge.
Introduction
The tool, called the Energy-Efficiency Predicting and Optimizing Digital-System Tool, was developed as an in-house product for the purpose of helping operators select a series of corrective measures and optimized management actions for an oil and gas production plant. The entire procedure relies on the definition of several key performance indicators (KPIs). The KPIs represent a combination of process parameters useful for understanding, summarizing, and comparing the performance of entire plants or individual equipment units. Comparing the actual KPI vs.
