Groundwater research for drinking purpose was very important to be done at ITERA campus and its surroundings. It is caused the area is very close to social activities, especially for students. The hydrogeochemical analysis was done with integrating Piper diagram plotting result, X-Y plotting result for some cations and anions, and Gibbs diagram plotting result. Groundwater assessment for drinking purpose referred to Peraturan Menteri Kesehatan Republik Indonesia No. 492/MENKES/PER/IV/2010. There were 14 samples that were taken from nine dig wells and five drill wells. The groundwater facieses were dominated by Facies Na-HCO3-Cl (35,71%) followed by Facies Na-Cl (21,43%), Facies Na-HCO3 (21,43%), Facies Na-SO4-Cl (14,29%), dan Facies Ca-Mg-HCO3 (7,14%). Generally, Groundwater hydrogeochemical of research area shows that groundwater chemistries are controlled by minerals weathering, evaporation, and precipitation. There are eight wells that not proper for drinking and six wells that proper for drinking. Integration lab result, stratigraphic analysis, and depth aquifer show that groundwater that proper for drinking comes from confined aquifer while that not proper for drinking comes from unconfined aquifer
Lampung is one of the provinces which have hot spring resource. One of the unique hot springs in Lampung is Cisarua hot spring. Its location is far from volcanic which makes researcher curious with the system of hot spring from Cisarua. Based on the geology map, the location of hot spring is in Lampung Panjang Fault. The aim of this research is to know about type, zone and distribution of hot spring. The method used in this research is magnetic method with combined geochemistry. From geochemical analysis, the type of hot spring in Cisarua is bicarbonate water. It correlates with outflow and shallow zone. Based on 3D modelling of low magnetic anomaly, distribution of hot water is in Center and Southeast research area. Hot water is interpreted by low anomaly.
The technology of digital rock physics (DRP) allowed to predict the physical properties in core data sample, for example to predict value of porosity of data sample. This research applied the digital rock physics technique to predict the microporosity in sandstone sample: Fontanebleau Sandstone. The data are digital images from Fontanebleau Sandstone with high resolution scanned from micro tomography CT-Scan processing. The result of image processing shown in 2D and 3D image. From the data, the value of microporosity Fontanebleau Sandstone are beetwen 6% - 7%. This result confirmed by the quartz cemented sample of Fontanebleau Sandstone. The scale and sub-cube give the different value of microporosity which is indicated the scale influence to value of porosity value. So the simplest and best way is to average the all result from sub-cubes.
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