The steam injection is a perfect alternative for increasing heavy oil production. The conventional monitoring obtains a temperature profile by running a wireline log across the desired interval, and then using a conventional correlation to forecast in the future. The conventional technique is called the heat mining tool (HMT). A sector model was developed to determine a correlation between the alteration temperature in the reservoir and steam flood parameters such as steam quality, and stream rate. The simulation model encompasses an inverted 7-spot pattern. The numerical model is synchronized with the actual temperature data in the field by history matching technique. The model’s correlation is to forecast the coldness trend in the pattern. The first sand layering is the main injection target with an injection period of 10 years from 2009 to 2019. The model is utilized to observe the steam distribution, steam flow path, and the rate of temperature decline. In addition, the model’s correlation is compared to the HMT to analyze the dissimilarity. From the management perspective, it is an opportunity to have an alternative method for reservoir management. The model has a close boundary effect. Hence the pseudo wells inserted techniques are used to reach the history matching synchronization. The pseudo well-A delivers the oil influx into the pattern between wells #2 and #4. Meanwhile pseudo well-B conveys steam to region between wells #3 and #5. The simulation result shows that the steam injection rate affects significantly into the reservoir temperature alteration compared to the steam quality.