KARAKTERISASI RESERVOIR PADA LAPANGAN �S�, FORMASI TALANG AKAR 2_1, CEKUNGAN JAWA BARAT UTARA DENGAN MENGGUNAKAN METODE INVERSI IMPEDANSI AKUSTIK DAN ATRIBUT DEKOMPOSISI SPEKTRAL
Acoustic impedance inversion and seismic attribute analysis are used to identify the sandstones distribution, the porosity, and the facies depositional of the study area. The results from this analysis can improve the success ratio in determining area of hydrocarbon prospects so, the production of r...
محفوظ في:
| المؤلفون الرئيسيون: | , |
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| التنسيق: | Theses and Dissertations NonPeerReviewed |
| منشور في: |
[Yogyakarta] : Universitas Gadjah Mada
2014
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://repository.ugm.ac.id/131789/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=72293 |
| الوسوم: |
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| الملخص: | Acoustic impedance inversion and seismic attribute analysis are used to identify the sandstones distribution, the porosity, and the facies depositional of the study area. The results from this analysis can improve the success ratio in determining area of hydrocarbon prospects so, the production of resources energy of oil and gas can be developed.
The data that are used in this study are the Post Stack 3D seismic data, the well data, the checkshot data, and the FMI data (Fullbore Formation MicroImager). Acoustic impedance inversion method which is used in this research is sparse � spike. The porosity value can be derived from this inversion. The used of spectral decomposition attributes proved very effective in identifying the depositional environments and facies supported by the FMI data to identify the sedimentation direction.
The results of this research show that the acoustic impedance value in sandstones [7500 - 8800 ((g/cc) . (m s))] has high porosity value (9-15 %). Then from the seismic attribute analysis it can be understand the facies depositional environment that form mouth bar. Furthermore the direction of depositional, which is Northwest � Southeast, can be determined from FMI analysis. It is also supported by gamma ray log which have cylindrical and bell -shaped . The results of the analysis from its parameters can be correlated with the opportunities method to determine the location of the next development wells. From this analysis, there are five recommended wells as the next development wells, those are well A - 1 , well A - 2 , well A - 3 ,well A - 4 and well A � 5. |
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