Lineær mikset modell for kompressor data med en applikasjon

Abstract

StatoilHydro is the operator of the Åsgard oil and gas field outside of Trøndelag, Norway, where large compressors for injection, recompression and export of natural gas are installed. The facility transports and stores up to 36 millions $Sm^3$ of gas every day. If the compressors are not optimally operated, large values are lost. This paper describes how to use linear mixed models to model the condition of the compressors. The focus has been on the 1- and 2- stage recompression compressors. Reference data from Dresser-Rand have been used to make the model. Head and flow data are the modelled, and the explanatory variables used are molweight, rotational speed and an efficiency indicator. The paper also shows how cross validation is used to give an indication of how future datapoints will fit the model. A graphical user interface has been developed to do estimation and plotting with various models. Different models are tested and compared by likelihood methods. For a relatively simple model using three explanatory variables reasonable predictions are obtained. Results are not so good for very high rotational speeds and high molweights.