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By the evolving application of technology in the oil and gas fields, the volume of gathered information through the dynamic surveillance gets enormous. The importance is lying not only in the regular storage and standalone usage of such a big volume of data but also analyzing and integrating them in the light of alternative sources of data in order to turn the data to valuable field performance information. It is aimed to investigate role of the real time (bottom hole temperature gauges and distributed temperature sensor) and dynamic surveillance (PBU/PFO, production test results etc.) data in effectively managing ACG field. The case study has been carried out by integrating various sources of surveillance data (well test, DTS, PBU) with flowing bottomhole temperature and pressure in order to show the response of production wells to offset producers as wells as water injection and gas injection wells. It has been observed that the reservoir pressure change impacts on the GOR trend which in turn is reflected on the FBHT by means of Joule-Thomson effect. Analyzed Azeri filed examples shows that the change in FBHT is dependant on the rate of change of the reservoir pressure as well as the gas saturation. Also, there are several Azeri field examples that confirm the observed FBHT and FBHP fluctuations is the informer of the instability in the lift performance as a result of GOR decline. Along with above study, investigation of correlation between FBHT and measured GOR from an Azeri production well revealed that there exists a flow regime dependent linear correlation between these parameters. Such a correlation is applied in Azeri wells to predict the &lsquo / real-time&rsquo / GOR in the production wells.