Hisyam, Muhammad Naufal (2026) Karakterisasi Reservoir Menggunakan Seismik Multiatribut Dan Inversi Seismik Model-based Dioptimasi Dengan Particle Swarm Optimization Pada Lapangan "Poseidon", Cekungan Browse, Australia Barat. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pemahaman terhadap karakteristik stratigrafi, struktur geologi, serta distribusi properti reservoir merupakan aspek penting dalam menentukan potensi hidrokarbon dan melakukan delineasi zona reservoir. Penelitian ini berfokus pada Lapangan Poseidon, Browse Basin, Australia, khususnya pada Formasi Plover sebagai interval reservoir utama. Karakterisasi reservoir dilakukan melalui metode inversi seismik model-based yang dioptimasi menggunakan Particle Swarm Optimization (PSO) serta analisis seismik multiatribut untuk estimasi effective porosity. Metode PSO diterapkan untuk mengatasi permasalahan non-uniqueness pada inversi seismik dengan melakukan pencarian global terhadap parameter inversi optimal, meliputi perubahan impedansi dan panjang wavelet. Hasil optimasi menunjukkan proses konvergensi yang efektif setelah 250 iterasi dengan parameter optimum berupa lower impedance change sebesar 39,35%, upper impedance change sebesar 132,64%, dan panjang wavelet sebesar 138 ms. Hasil inversi menunjukkan peningkatan kualitas model secara kuantitatif, ditandai dengan peningkatan nilai korelasi antara data observasi dan sintetik dari 0,908 menjadi 0,989 serta penurunan relative error dari 0,4189 menjadi 0,1479. Secara kualitatif, hasil inversi mampu menggambarkan distribusi P-Impedance rendah pada Formasi Plover dengan rentang 10.000–14.000 g/cc*m/s yang berasosiasi dengan zona batupasir berisi hidrokarbon. Distribusi anomali impedansi rendah berkonsentrasi pada area crestal bagian utara dan perkembangan terbatas menuju area flank, yang mencerminkan pengaruh struktur half-graben dan kompartementalisasi reservoir akibat aktivitas tektonik. Estimasi porositas efektif dilakukan menggunakan metode seismik multiatribut berbasis regresi statistik dengan seleksi atribut menggunakan stepwise regression. Model prediksi porositas menggunakan sepuluh atribut seismik terbaik dan menghasilkan nilai linear combination sebesar 0,606, korelasi antara porositas aktual dan prediksi sebesar 0,80, serta training error sebesar 0,0134. Hasil porositas menunjukkan zona reservoir utama berada pada area crestal dengan nilai porositas lebih dari 0,20 v/v, sedangkan zona prospek sekunder pada area flank memiliki porositas 0,15–0,20 v/v.
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Understanding the stratigraphic characteristics, geological structure, and distribution of reservoir properties is an important aspect in determining hydrocarbon potential and delineating reservoir zones. This study focuses on the Poseidon Field, Browse Basin, Australia, specifically on the Plover Formation as the main reservoir interval. Reservoir characterization was carried out through a model-based seismic inversion method optimized using Particle Swarm Optimization (PSO) and multi-attribute seismic analysis for effective porosity estimation. The PSO method is applied to overcome the problem of non-uniqueness in seismic inversion by conducting a global search for optimal inversion parameters, including changes in impedance and wavelet length. The optimization results showed an effective convergence process after 250 iterations with optimal parameters in the form of lower impedance change of 39.35%, upper impedance change of 132.64%, and wavelet length of 138 ms. Inversion results showed a quantitative improvement in model quality, characterized by an increase in the correlation value between observational and synthetic data from 0.908 to 0.989 and a decrease in relative error from 0.4189 to 0.1479. Qualitatively, the inversion results were able to describe the low P-Impedance distribution in the Plover Formation with a range of 10,000–14,000 g/cc*m/s associated with the hydrocarbon-containing sandstone zone. The distribution of low-impedance anomalies is concentrated in the northern crestal area and the development is limited towards the flank area, reflecting the influence of half-graben structure and reservoir compartmentalization due to tectonic activity. Effective porosity estimation was carried out using a multiattribute seismic method based on statistical regression with attribute selection using stepwise regression. The porosity prediction model uses the ten best seismic attributes and produces a linear combination value of 0.606, a correlation between actual and predicted porosity of 0.80, and a training error of 0.0134. The porosity results showed that the main reservoir zone was in the crestal area with a porosity value of more than 0.20 v/v, while the secondary prospect zone in the flank area had a porosity of 0.15–0.20 v/v.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Inversi Seismik, Particle Swarm Optimization, Seismik Multiatribut |
| Subjects: | Q Science > Q Science (General) > Q337.3 Swarm intelligence Q Science > QA Mathematics > QA9.58 Algorithms Q Science > QE Geology > QE539.2.S4 Seismic models Q Science > QE Geology > QE601 Geology, Structural |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geophysics Engineering > 33201-(S1) Undergraduate Thesis |
| Depositing User: | Muhammad Naufal Hisyam |
| Date Deposited: | 21 Jul 2026 10:19 |
| Last Modified: | 21 Jul 2026 10:19 |
| URI: | http://repository.its.ac.id/id/eprint/136103 |
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