Find out what the impact of artificial intelligence in the petrochemical industry is

Find out what the impact of artificial intelligence in the petrochemical industry is

You are interested in a digital enterprise of the 21st century, if so, join us on the path of digital transformation and take advantage of fully intelligent solutions supporting the achievement of operational excellence and effective management of production processes and resources. Chemical and petrochemical plants are characterized by a multitude of technological installations, the complexity of production processes and a large variety of end products. Despite this diversity, the common goal is to run processes in the safest, most efficient and cost-effective way possible. Chemical installations are equipped with a number of critical machines and devices: industrial furnaces, reactors, columns, tanks, silos, compressors, blowers, dryers, centrifuges, pumps, extruders, heat exchangers, chillers, evaporators and many more. ReliaSol helps chemical industry professionals understand how predictive maintenance can contribute to solving everyday problems. To achieve superior business goals, all these devices must work reliably, because the failure of a single device often cascades the operation of entire technological lines, and thus – the operation of the entire plant or even a group of plants.

What are the key benefits for the industry?

Increase in the availability of installations and devices as a result of predicting potential unplanned downtime of technological installations and individual machines, as well as implementing solutions to avoid emergency situations. Identification and elimination of the root causes of failure. Early warning of the risk of deterioration of the quality of finished products or of the quality of semi-finished products in serial production. Multi-criteria and comprehensive optimization of the production process control, flexible response to changes in production parameters, raw materials or business parameters (e.g. costs of raw materials and semi-finished products). Maintaining the level of production stocks and spare parts at an economically reasonable level. Gathering expert knowledge in knowledge bases and its effective use in decision-making processes. Forecasting the demand for energy and / or utilities such as steam, gas, water.