Odour control is a central issue in any oil refinery. No matter what the details, none of the odours produced can be considered ‘pleasant’. To make it worse, they can be detected over large distances. Ortelium collects, visualises and analyses data from IoT and human sources to provide refineries with intelligence on the impact of past,current and future operations, for smarter decision-making right now.
Inevitably, refineries have plenty of scope for unpleasant emissions, which can affect a wide area. Those odours with the greatest potential impact are typically generated by operations involving the handling and storage of crude or heavy oils, such as oil storage tanks and tanker/vessel loading operations.
By inserting process parameters of these operations into Ortelium, the system provides data intelligence on how the odour disperses into the environment, and provides recommendations on how to adapt operations to reduce or even prevent alert situations.
Visit Ortelium – Oil Tanking & Storage to find out more on how dynamic modelling and forecasting helps operators to optimise their loading processes while taking care of their environmental footprint and complying with regulatory policies
Another common culprit forodour nuisance is the treatment of site wastewater contaminated with oil.
With Ortelium you can collect citizen observations via a dedicated Smartphone app or directly via theOrtelium web platform, allowing you to monitor and analyse the causes offrequently occurring odour nuisances. Not only that, with Ortelium’s backtracking capabilities refinery operators can make their environmental impact distinguishable from other industrial emissions in the area.
Visit Ortelium – Wastewater treatment to find out more on how Ortelium helps wastewater treatment facilities to foster good neighbourly relations and boost the value of their complaints and observations procedure.
Ortelium allows you to combine the dynamic real time dispersion modelling and forecasting with citizen observations, but also with sensor systems, such as H2S, NOx, SO2 or PM sensors to detect and quantify key substances of potential sources of air quality and odour nuisance, to establish a more meaningful picture of the environmental situation.