Karakterisasi Reservoir Karbonat Formasi Tuban Menggunakan Inversi Seismik Impedansi Akustik Dan Analisis Multiatribut Pada Lapangan CC, Cekungan Jawa Timur Utara

Tazkiya, Calista Shifa (2026) Karakterisasi Reservoir Karbonat Formasi Tuban Menggunakan Inversi Seismik Impedansi Akustik Dan Analisis Multiatribut Pada Lapangan CC, Cekungan Jawa Timur Utara. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Formasi Tuban di Cekungan Jawa Timur Utara merupakan salah satu target eksplorasi reservoir karbonat yang memiliki kompleksitas tinggi akibat heterogenitas fasies pengendapan. Penelitian ini bertujuan mengkarakterisasi distribusi impedansi akustik (AI) dan porositas efektif (PHIE) pada Lapangan CC untuk mengidentifikasi zona prospek hidrokarbon. Penelitian dilakukan menggunakan inversi seismik model-based untuk memperoleh volume AI dan seismic multi-attribute analysis berbasis stepwise regression untuk memprediksi distribusi PHIE. Hasil well-seismic tie memberikan nilai koefisien korelasi rata-rata sebesar 0,74 sehingga data seismik memiliki kesesuaian yang baik dengan data sumur. Hasil inversi menunjukkan bahwa reservoir dengan porositas tinggi memiliki nilai AI rendah (<10.000 (ft/s)(g/cc)) dan tersebar pada bagian utara hingga barat laut struktur carbonate build-up. Model multiatribut menghasilkan koefisien korelasi sebesar 0,716 dengan tingkat galat 4,76%. Hasil prediksi menunjukkan porositas efektif sebesar 20–25% pada bagian utara dan barat Lapangan CC, sedangkan bagian selatan hanya berkisar 5–12%. Sebaran tersebut sejalan dengan interpretasi bahwa bagian utara carbonate build-up berkembang sebagai zona reef crest hingga upper reef flank yang mengalami pelarutan sehingga membentuk vuggy porosity. Integrasi inversi AI dan analisis multiatribut menunjukkan dua area prospek utama dengan kualitas reservoir yang lebih baik dibandingkan bagian selatan.
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The Tuban Formation in the North East Java Basin is one of the major carbonate reservoir exploration targets but exhibits high complexity due to the heterogeneity of depositional facies. This study aims to characterize the distribution of acoustic impedance (AI) and effective porosity (PHIE) in the CC Field to identify prospective hydrocarbon zones. A model-based seismic inversion was applied to generate the acoustic impedance volume, while seismic multi-attribute analysis based on stepwise regression was used to predict the distribution of effective porosity. The well-seismic tie produced an average correlation coefficient of 0.74, indicating good agreement between the seismic and well data. The inversion results show that high-porosity reservoir zones are characterized by low AI values (<10,000 (ft/s)(g/cc)) and are mainly distributed in the northern to northwestern part of the carbonate build-up. The multi-attribute model achieved a correlation coefficient of 0.716 with a prediction error of 4.76%. The predicted effective porosity ranges from 20% to 25% in the northern and western parts of the CC Field, whereas the southern part is characterized by lower porosity ranging from 5% to 12%. This distribution is consistent with the interpretation that the northern carbonate build-up represents the reef crest to upper reef flank, where dissolution has enhanced the development of vuggy porosity. The integration of acoustic impedance inversion and multi-attribute analysis successfully identified two main prospective zones with better reservoir quality than the fragmented carbonate reservoir in the southern part of the field.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Formasi Tuban, Inversi Seismik, Multi-Attribute Analysis, Porositas Efektif, Tuban Formation, Seismic Inversion, Multi-Attribute Analysis, Effective Porosity
Subjects:	Q Science > QE Geology > QE539.2.S4 Seismic models
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geophysics Engineering > 33201-(S1) Undergraduate Thesis
Depositing User:	Calista Shifa Tazkiya
Date Deposited:	21 Jul 2026 06:14
Last Modified:	21 Jul 2026 06:14
URI:	http://repository.its.ac.id/id/eprint/136053

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