RESERVOIRS CHARACTERIZATION, COMPARTMENTALIZATION AND 3D STATIC CARBONATE RESERVOIR MODELLING OF âKAYLAâ FIELD, PARIGI FORMATION, NORTH WEST JAVA SUBBASIN, JATIBARANG BASIN
Kayla Field is one of the gas fields located in Jatibarang Subbasin, West Java province, with the coordinates of 108,250BT-118,50BT dan 6,440LS-6,560LS. Kayla Fields is a development stage field and has an area about 375 km2. The study was conducted at A,B,C and D intervals of Kayla Field with total...
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Format: | Final Project |
Language: | Indonesia |
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Online Access: | https://digilib.itb.ac.id/gdl/view/44149 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Kayla Field is one of the gas fields located in Jatibarang Subbasin, West Java province, with the coordinates of 108,250BT-118,50BT dan 6,440LS-6,560LS. Kayla Fields is a development stage field and has an area about 375 km2. The study was conducted at A,B,C and D intervals of Kayla Field with total of 7 wells. Objectives of the study are to conduct reservoir characterization, define reservoir compartmentalization, and build three dimensional geological model in estimating gas reserves. The methods used consist of facies and stratigraphy sequences analysis, geological modelling, reservoir compartments analysis, and estimation of initial gas reserve.
Mudlog description analysis conducted at research’s intervals resulted in 3 lithofacies with facies associations of distal middle ramp, proximal middle ramp, and proximal inner ramp as reservoirs. Interpretation on lithofacies and facies associations shallow marine depositional environment with northwest– southeast trending of sedimentation. Reservoir quality of proximal inner ramp facies is slightly better than distal inner ramp and proximal middle ramp as the ratio of shale’s percentage is higher at lagoonal clastic. Reservoir heterogenities which contolled by facies changes and normal fault are are also affecting reservoir compartmentalization of the research’s intervals. Integration between multi-attribute map, reservoir connectivity analysis using pressure data and fluid contact evolution help in defining reservoir compartmentalization. As the result, 12 regions of hydrocarbon accumulation with significant fluid contacts are identified within research’s intervals.
Three dimensional static reservoir modelling consist of structural, facies, and petrophysical modelling were performed in order to determine reservoir geometries, property distributions, and hydrocarbon reserves estimation. From the calculation process, the initial gas in place is 76.6 bcf at intervals A, 161.8 bcf at intervals B, 210.7 bcf at intervals C, and 162 bcf at interval D.
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