Pradana, Dimas Rahfaditya (2017) Analisis Sebaran Reservoir Batupasir “Dakota” Dan Reservoir Shale “Niobrara” Menggunakan Metode Seismik Inversi Dan Geostatistik, Studi Kasus Lapangan “Teapot”, Wyoming, USA. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Untuk melakukan prediksi sebaran reservoir, dapat digunakan beberapa pendekatan yang dianalisis melalui hubungan dengan parameter fisis dari reservoir itu sendiri. Dengan adanya data seismik, data sumur, serta data pendukung lainnya, kita dapat memperoleh informasi kondisi bawah permukaan secara detail. Penelitian kali ini bertujuan untuk memprediksi sebaran reservoir batu pasir Dakota dan batu shale Niobrara pada lapangan teapot, hak milik RMOTC dan U.S.Department of Energy, berdasarkan pada karakter parameter fisis dari masing-masing batuan. Dengan mengkombinasikan antara metode inversi Model-Based dengan analisis geostatistik Metode Kriging dan Collocated Co-Kriging, diharapkan mampu memberikan informasi persebaran litologi dengan baik, dan mampu mengatasi permasalahan kondisi batu pasir Dakota yang Under Tuning Thickness dan Shale Niobrara yang merupakan jenis Unconventional Reservoir. Hasil yang didapat merupakan sebaran batupasir formasi Dakota dan sebaran batu shale potensial gas yang ditentukan berdasarkan parameter fisisnya, dan disajikan dalam bentuk peta. Berdasarkan hasil analisis metode inversi dan geostatistik, lokasi rekomendasi yang memilki litologi dan parameter fisis batuan baik dari batu shale Niobrara memiliki parameter nilai impedansi akustik rendah, dengan kisaran nilai 26500-27000 ft/s*g/cc, dan nilai saturasi air rendah dengan kisaran nilai 0.4-0.6%. Untuk daerah formasi batu pasir Dakota, diketahui lokasi rekomendasi yang memiliki litologi dan parameter fisis baik adalah daerah dengan nilai gamma ray rendah, dengan kisaran nilai 80-114 API, kemudian nilai densitas rendah, dengan kisaran nilai 2.38-2.48, kemudian nilai Vp rendah dengan kisaran nilai 11000 ft/s-11600 ft/s, serta nilai porositas total dengan kisaran nilai 31-33 %.
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To predict the reservoir distribution, several approaches can be analyzed through the relationship with the physical parameters of the reservoir itself. With seismic data, well data, and other supporting data, we can obtain detailed subsurface condition information. This study aims to predict the distribution of Dakota sandstone reservoir and Niobrara shale on the teapot field, copyrights of RMOTC and U.S.Department of Energy, based on the character of the physical parameters of each rock. Combining Model Based Inversion Methods with the Kriging and Collocated Co-Kriging geostatistics methods, it is expected to provide good information of lithology distribution, and able to overcome the conditions of Under Tuning Thickness in Dakota sandstone and Unconventional Reservoir in Shale Niobrara. The results obtained are the distribution of Dakota formation sandstone shale gas potential determined by its physical parameters, presented in map form. Based on the analysis of inversion and geostatistics method, the location of recommendation that has lithology and rock physiological parameters of Niobrara shale are low acoustic impedance parameter value, with range value 26500-27000 ft / s * g / cc, and low water saturation value with range Value 0.4-0.6%. For Dakota sandstone formation areas, it is known that the location of recommendations with lithology and physical parameters is either an area with a low gamma ray value, with a range of 80-114 API values, then a low density value, with a range of values of 2.382.48, then a low Vp value with Range of values 11000 ft / s-11600 ft / s, and total porosity value with a range of values 31-33%.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSGf 622.159 2 Pra a-1 |
| Uncontrolled Keywords: | Inversi, Geostatistik, Reservoir, Collocated-CoKriging |
| Subjects: | Q Science > QE Geology > QE601 Geology, Structural |
| Divisions: | Faculty of Civil Engineering and Planning > Geophysics Engineering > 33201-(S1) Undergraduate Thesis |
| Depositing User: | Dimas Rahfaditya Pradana |
| Date Deposited: | 26 Oct 2017 06:49 |
| Last Modified: | 05 Mar 2019 02:31 |
| URI: | http://repository.its.ac.id/id/eprint/42069 |
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