Karakterisasi Reservoir Karbonat Formasi Minahaki Di Sulawesi Tengah Menggunakan Inversi Impedansi Akustik Dan Multi-Atribut

Shatara, Mirza Al (2026) Karakterisasi Reservoir Karbonat Formasi Minahaki Di Sulawesi Tengah Menggunakan Inversi Impedansi Akustik Dan Multi-Atribut. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Eksplorasi hidrokarbon di Cekungan Sulawesi Tengah, khususnya pada reservoir karbonat Formasi Minahaki, memerlukan karakterisasi reservoir yang komprehensif akibat heterogenitas porositas yang dipengaruhi proses diagenesis. Penelitian ini bertujuan mengidentifikasi persebaran Acoustic Impedance (AI) dan porositas, mengevaluasi hubungan AI dan porositas menggunakan metode multi-attribute, serta menentukan zona pengeboran optimal. Data yang digunakan berupa data seismik 3D post-stack dan log sumur dari WELL-3, WELL-6, WELL-14, dan WELL-15. Metode yang diterapkan meliputi interpretasi inversi seismik Acoustic Impedance (AI), analisis sensitivitas AI dan porositas, serta multi-attribute analysis. Hasil inversi menunjukkan nilai AI relatif rendah sekitar 20.000–21.000 ((m/s)(g/cc)) yang diinterpretasikan sebagai zona reservoir berpori. Analisis sensitivitas memperlihatkan hubungan negatif kuat antara AI dan porositas dengan nilai korelasi lebih dari 0,75. Prediksi multi-attribute menghasilkan model porositas dengan cross-correlation sebesar 0,858829 dan validation error terendah sebesar 0,070314, serta model saturasi air (water saturation) dengan cross-correlation sebesar 0,872. Hasil prediksi menunjukkan zona porositas tinggi (25%–30%) yang berasosiasi dengan nilai Sw rendah (<0,40) terkonsentrasi di bagian tengah area penelitian, mengindikasikan reservoir yang dominan terisi hidrokarbon gas, sedangkan nilai Sw tinggi (>0,70) pada bagian tepi menunjukkan zona yang tersaturasi air. Integrasi atribut Sweetness, RMS Amplitude, AI, peta porositas, dan distribusi Sw menunjukkan zona prospek utama berada pada bagian tengah area penelitian, khususnya pada daerah tinggian.
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Hydrocarbon exploration in the Central Sulawesi Basin, especially in the carbonate reservoir of the Minahaki Formation, requires a comprehensive reservoir characterization due to porosity heterogeneity influenced by the diagenesis process. This study aims to identify the distribution of Acoustic Impedance (AI) and porosity, evaluate the relationship between AI and porosity using multi-attribute methods, and determine the optimal drilling zone. The data used are in the form of post-stack 3D seismic data and well logs from WELL-3, WELL-6, WELL-14, and WELL-15. The methods applied include the interpretation of Acoustic Impedance (AI) seismic inversion , AI sensitivity and porosity analysis, and multi-attribute analysis. The inversion results showed a relatively low AI value of around 20,000–21,000 ((m/s)(g/cc)) which was interpreted as a porous reservoir zone. Sensitivity analysis showed a strong negative relationship between AI and porosity with a correlation value of more than 0.75. Multi-attribute prediction produced a porosity model with a cross-correlation of 0.858829 and the lowest validation error of 0.070314, as well as a water saturation model with a cross-correlation of 0.872. The predicted results showed a zone of high porosity (25%–30%) associated with a low Sw value (<0.40) concentrated in the center of the study area, indicating a reservoir that was predominantly filled with gaseous hydrocarbons, while a high Sw value (>0.70) at the edge indicated a water-saturated zone. The integration of Sweetness, RMS Amplitude, AI, porosity maps, and Sw distribution attributes shows that the main prospect zone is in the middle of the research area, particularly at high altitudes.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Formasi Minahaki, Inversi Impedansi Akustik, Multi-attribute, Porositas, Reservoir Karbonat.
Subjects:	Q Science > QE Geology 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:	Mirza Al Shatara
Date Deposited:	21 Jul 2026 01:14
Last Modified:	21 Jul 2026 01:14
URI:	http://repository.its.ac.id/id/eprint/135766

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