To investigated the per capita demand and water consumption pattern using Ardino acquisition system and flow meter sensor. The water flow sensors were installed in the outlet pipe from water storage tank to hostel. The Ardino flow meter records the water flow for every moment. Also the student attendance on daily basis were also recorded each day during the survey period. The survey results were analyzed using Microsoft Excel 2016 and Minitab 18. The study results shows that the per capita consumption varies considerably each day the average per capita consumption was found 99.65 ± 21.79.There was a strong correlation found between the number of student available per day and the total water consumed in LPD having The R2 value was 0.8978.which shows that the students are the major consumer and the other categories of water consumption uses very low amount.There was no correlation found between the per capita water consumption in LPD and the maximum and minimum temperature humidity wind speed. There was no effect of humidex found on water consumption per capita LPD.The average water consumption pattern per capita per day shows some random peaks in the graph which mean that there is difference in routines of students. They have different class, sleeping, and wake up timing. The two major peaks observed one in morning time and one in evening time the water consumption. The morning peak between 08:00 to 09:00. While the evening peak starts from 13:00 to 14:00.the morning peak is higher than evening peak but the evening peak is broader than morning peak.Three types of peaking factors were calculated from the study data which are for 15 minutes, hourly and daily factors. In 15 minutes water consumption interval per capita per day average highest peaking factor found in the morning between 8:45 and 9:00 which was 3.0 and in average hourly peaking factor the highest peak factor found between 13:00 and 15:00 which was 2.4.while in average week days water consumption per capita per day the average consumption was high on the Saturday having peak factor of 1.15.

Perforating a gas well efficiently requires applying technological advances to carry out a safe operation without compromising well productivity. In this paper, is discussed the application of a pre- job plan methodology called perforating well on paper to the perforation operation of SITRA 3-4. This methodology involved tension simulation, perforating gun and charge selection, conveyance hardware optimization, best underbalance value selection, as well as modeling of gun shock, gun movement and reservoir behavior when shooting multiple zones with different pressure regimes. Simulation methodology was performed as well real time during the perforating job to optimize static and flowing underbalance without compromising the safety of the operation and maximizing production gains.