TY - JOUR AU - Nugroho, Dwiharso PY - 2023 TI - INSIGHT ON IDENTIFYING LOW RESISTIVITY PAY ZONES FOR SANDSTONE INTERVALSIN SOUTH SUMATRA AND SANGA SANGA BLOCK, INDONESIA. JF - Bulletin of Geology; Vol 7 No 1 (2023): Bulletin of Geology KW - N2 - Abstrack - in most development fields low resistivity pay zones (LRPZ) are not the main targets. Challenge is on identifying it and define their reservoir petrophysical properties beside the classic analysis on genetic of the LRPZ. It is important to note that most LRPZ genetically are caused by reasons that are directly linked to the petrophysical parameters as main constraints on defining the reservoir (petrophysical) properties. It have consequences that the petrophysical parameters for LRPZ should be defined exclusively before running the well log analysis for the whole well. This paper focuse on proposing simple methods to predict the LRPZ using the basic well logs data also share some decisions that have been made in South Sumatra and Sanga Sanga Block  result in a quite success story relatedly. The first method is simple petrophysical analysis using basic wireline log data which done by applying a certain cut off and exercising the cut off on some wells in the basin wise well test data to get field wise references in the same basin/subbasin (in this case is South Sumatra Basin). The second method is identifying and analyzing LRPZ using well-known MRGC (Multi Resolution Graph-Based Clustering) that normally is used on electro facies and rock type analysis and has never been used on defining LRPZ. This study proved that these two methods performed well as LR pay zone prediction and significantly adding new pay zones for increasing chance to get additional reserves and production. UR - https://buletingeologi.com/index.php/buletin-geologi/article/view/296