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Trafo Field is one of gas potention field in eastern Indonesia, Paleocene age, 140 km2area. Purpose of this research is to understand geological subsurface of this <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <...

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Bibliographic Details
Main Author: (NIM: 12009012); pembimbing: Dwiharso Nugroho, S.T., M.T., FETTY
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/18487
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Trafo Field is one of gas potention field in eastern Indonesia, Paleocene age, 140 km2area. Purpose of this research is to understand geological subsurface of this <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> field also to perform optimization calculation of gas reserves through sedimentationstratigraphic <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> analysis, petrophysical, and reservoir modeling of the field. Research interval can be divided into 6 units litofacies based on core analysis, they are conglomeratic coarse sandstone, massive sandstone, paralel-ripple laminated sandstone, mudclast supported sandstone, sandstone-mudstone intercalation, and grey mudstone. Litofacies are then grouped into four facies associations, namely distributary channels, sheet sand lobes, channel complex, and basin plain. Lateral ditributiontof this facies associations derived from identification of stacking patterns cycle and stratigraphic patternand bounded by 7 time horizon starting from Upper <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> Cretaceous to Upper Paleocene. Through petrophysical analysis, shale baseline in each well, variation of porosity in each zone, and water saturation property can be obtained. Potential reservoir laidon distributary channel, channel complex, and sheet sand lobes with the thin beddedin each zone interval. Reservoir modeling based on fine-grained turbidite system which was built by 24 fault sticks depthfrom seismic interpretation, 7 zones with dominancy of sheet sand lobes reservoir. <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> From tornado plot, uncertainty in the calculation of gas reserves (GIIP) strongly influenced by water saturation factor and through 3 methods good distribution derived from stochastic and interpolation methods with gas reserves 2.64 TCF. From quality control histogram, stochastic method results better normal <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> distribution because it uses data analysis.