Penerapan Metode Principal Component Proximity Transform dan Geostatistik untuk Pemodelan Penyebaran Volume Shale sebagai Pencitraan Karakteristik Reservoir pada Seismic 3D  

Oleh:

Islami, Nur

Jenis: Article from Journal - ilmiah nasional - terakreditasi DIKTI
Dalam koleksi: Makara Journal of Technology vol. 15 no. 2 (Nov. 2011), page 147-152.
Topik: Geo-Statistic; PCPT; Reservoir; Seismic; Volume Shale
Fulltext: Penerapan Metode Principal Component Proximity Transform.pdf (604.44KB)

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Perpustakaan Pusat (Semanggi) Nomor Panggil: MM64.4 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Application of Principal Component Proximity Transform and Geo-statistics Methods for Volume Shale Distribution as Reservoir Characteristic Imaging in Seismic 3D. Principal component proximity transform (PCPT) technique was used to predict the content of volume shale into seismic data in reservoir modeling framework. The goal in this research is to get the volume shale imaging in three dimensions and allow for reservoir modeling. The reservoir modeling requires an integrated quantitative and qualitative data sources collected separately, such as well and seismic data. Integrating PCPT and Geo-statistic methods can generate the detail information for characterization of reservoir’s properties. Finally, it shows that the model was valid with correlation coefficient of 0.986 between volume shale in the well and predicted volume shale in the seismic. Reservoir zone can be found with low level of volume shale (<0.5) that it was visualized by color dark-gray.

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