PONGPALITA, THERESIA KURNIASARI (2012) IDENTIFIKASI KARAKTERISTIK RESERVOAR KARBONAT FORMASI BATURAJA MENGGUNAKAN SEISMIK INVERSI BERBASIS MODEL DAN ATRIBUT SEISMIK PADA LAPANGAN “LITHA” CEKUNGAN SUMATERA SELATAN. Other thesis, UPN "Veteran" Yogyakarta.
Preview |
Text
ABSTRAK.pdf Download (84kB) | Preview |
Abstract
ABSTRAK
Batuan karbonat di area cekungan Sumatera Selatan sangat potensial
mengandung hidrokarbon. Penelitian dilakukan dengan menggunakan metode
seismik inversi model based digabungkan dengan pengolahan atribut seismik
untuk mengetahui karakteristik reservoar karbonat Formasi Baturaja pada
lapangan “Litha” Cekungan Sumatera Selatan. Penelitian ini menggunakan data
seismik 3D post stack, 1 data sumur, 1 data checkshot, dan 2 data horizon.
Langkah-langkah pengolahan data meliputi pembuatan crossplot, ekstraksi
wavelet, pembuatan sintetik seismogram, well seismic tie, picking horizon,
pembuatan model awal, analisa inversi, tahap inversi, pengolahan atribut seismik,
slicing peta kemudian melakukan interpretasi data.
Peta hasil inversi AI dan Atribut Seismik disayat horizontal untuk
mengetahui daerah prospek dan persebaran reservoar hidrokarbon pada lapangan
“Litha” berdasarkan nilai AI dan porositas. Hasil slicing peta inversi menunjukkan
nilai AI berkisar antara 9613-11609 (m/s)*(g/cc), sedangkan hasil slicing peta
atribut didapatkan nilai AI berkisar 6150 – 13274 (m/s)*(gr/cc) dengan nilai
porositas berkisar antara 15% - 35%.
Kata kunci: Inversi seismik, Atribut seismik, Hidrokarbon, Porositas
ABSTRACT
Carbonate rocks in the area of South Sumatera basin is potentially contain
hydrocarbons. Research conducted by using a model-based seismic inversion
method combined with seismic attributes to determine the reservoir
characteristics of carbonate Baturaja Formation on the "Litha" field South
Sumatera Basin. This study uses a post-stack 3D seismic data, 1 checkshot data, 1
well data, and 2 horizon data.
The processing data steps is making crossplot, wavelet extraction,
makeing synthetic seismograms, seismic well tie, picking horizon, building initial
modeling, inversion analysis, inversion process, seismic attribute processing,
slicing the map and then interpreting the data.
AI inversion result maps and Seismic Attributes are sliced to determine the
distribution of reservoir and hydrocarbon prospects in the "Litha" field based on
the value of AI and porosity. The slice of inversion maps show AI values are
between 9613-11609 (m / s) * (g / cc), while the results of seismic attribute maps
slicing obtained AI values ranging from 6150-13274 (m/s)*(g/cc) with a porosity
value of 15% - 35%.
Keywords: Seismic Inversion, Seismic Attribute, Hydrocarbons, Porosity
| Item Type: | Thesis (Other) |
|---|---|
| Subjek: | Q Science > QC Physics |
| Divisions: | x. Faculty of Engineering, Science and Mathematics > School of Physics |
| Depositing User: | Eko Suprapti |
| Date Deposited: | 08 Aug 2016 02:22 |
| Last Modified: | 08 Aug 2016 02:22 |
| URI: | http://eprints.upnyk.ac.id/id/eprint/5012 |
Actions (login required)
 |
View Item |