KARAKTERISASI RESERVOIR MENGGUNAKAN METODE INVERSI IMPEDANSI AKUSTIK SEISMIK DAN NEURAL NETWORK PADA LAPANGAN “SADONO”, LAPISAN Z-16, FORMASI CIBULAKAN, CEKUNGAN JAWA BARAT UTARA; RESERVOIR CHARACTERIZATION USING SEISMIC ACOUSTIC IMPEDANCE AND NEURAL NETWORK IN “SADONO” FIELD, Z-16 LAYER, CIBULAKAN FORMATION, NORTH WEST JAVA BASIN

ALQAD SADONO, RADEN DIDA HUTAMA RUSTIANA, Sismanto

2016 | Skripsi | FMIPA

Z-16 layer is the indicated target zone of Cibulakan Formation that contains hydrocarbon. However, the analysis of accoustic impedance inversion and neural network have not been done in this zone. The analysis is used to find out target zone and to determine the next development wells. The study used 3D seismic post-stack time migration data, well data and checkshot data. The inversion method used is model-based inversion. The inversion result in the form of pseudo acoustic impedance volume which were analyzed and used as an input to the neural network method. By using analysis of probabilistic neural network, it was obtained pseudo volume neutron gamma ray. In this study, the acoustic impedance values obtained in the target zone have range of values 8800 - 11200 ((g / cc). (m / s)), gamma ray value amounted to 51 - 56 GAPI and neutron porosity value amounted to 7.2 % - 8 %. Facies of the Z16 is reef build up with carbonate platform type shelf rimmed which is located in the southeast area of research. From the results of the study, point SDN-5 and SDN-6 are recommended as development well locations.

Kata Kunci : acoustic impedance inversion, neural network, gamma ray, porosity, facies