Karakterisasi Reservoir Hidrokarbon Menggunakan Analisis Multiatribut dan Inversi Seismik Pada Struktur "MFA", Formasi Malacca, Cekungan Sumatra Utara Offshore

Adani, Muhammad Fayyad (2024) Karakterisasi Reservoir Hidrokarbon Menggunakan Analisis Multiatribut dan Inversi Seismik Pada Struktur "MFA", Formasi Malacca, Cekungan Sumatra Utara Offshore. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Formasi Malacca merupakan salah satu formasi penyusun utama Cekungan Sumatra Utara yang telah menjadi salah satu penghasil hidrokarbon di Indonesia. Pada Struktur "MFA" di Formasi Malacca, litologi reservoir didominasi oleh karbonat build-up dari batugamping yang memiliki tingkat heterogenitas porositas yang tinggi karena pengendapan karbonat dalam pori-pori batuan dan secara seismik konvensional sulit diinterpretasikan. Oleh karena itu, analisis dan karakterisasi reservoir di Struktur "MFA" Formasi Malacca sangat diperlukan melalui penerapan metode multiatribut dan inversi seismik untuk mengidentifikasi karakteristik dan persebaran reservoir karbonat build-up dengan resolusi yang tinggi. Data yang digunakan dalam penelitian ini meliputi data sumur, checkshot, horizon, marker, dan seismik 3D post-stack time migration. Berdasarkan analisis sensitivitas, parameter AI di setiap sumur pada daerah penelitian kurang baik. Untuk itu, diterapkan nilai cutoff laporan petrofisika dengan Vshale 0%, porositas >6%, dan water saturation <70% untuk memaksimalkan analisis sensitivitas. Setelah diaplikasikan nilai cutoff, crosscorrelation optimal antara parameter AI dan porositas diperoleh dengan nilai 0.626196 dan nilai error 0.109924. Selanjutnya, analisis pra-inversi dilakukan dengan membandingkan tiga metode untuk menentukan yang terbaik, dan terpilih metode inversi model based hard constraint untuk memperoleh persebaran impedansi akustik. Properti porositas reservoir pada Struktur "MFA" diprediksi menggunakan metode Probabilistic Neural Network (PNN) menghasilkan korelasi 0.739843 dan error 0.00667018 dengan atribut final apparent polarity. Hasil menunjukkan bahwa reservoir di Struktur "MFA" adalah batukarbonat dengan nilai impedansi akustik 5000-7000 (g*m)/(cc*s) dengan nilai porositas 14-19%. Persebaran reservoir pada Struktur “MFA” memiliki orientasi utara-selatan dengan ketebalan lapisan ± 33,02 meter, dan ditemukan 5 lokasi zona lead-prospect baru di daerah penelitian.
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The Malacca Formation is one of the main formations of the North Sumatra Basin, which has become one of the largest hydrocarbon producers in Indonesia. In the "MFA" structure in the Malacca Formation, the reservoir lithology is dominated by carbonate accumulation from limestone, which has a high level of porosity heterogeneity due to carbonate deposition in rock pores and is difficult to interpret conventionally seismically. Therefore, reservoir analysis and characterization in the "MFA" structure of the Malacca Formation are very necessary through the application of multi-attribute methods and seismic inversion to identify the characteristics and distribution of reservoir carbonate accumulation with high resolution. The data used in this study includes well data, checkshots, horizons, markers, and 3D seismic post-stack time migration. Based on the sensitivity analysis, the AI parameters in each well in the study area are not good. For this reason, the cutoff value of the petrophysical report is applied with Vshale 0%, porosity > 6%, and water saturation <70% to maximize the sensitivity of the analysis. After applying the cutoff value, the optimal cross-correlation between the AI and porosity parameters was obtained with a value of 0.626196 and an error value of 0.109924. Furthermore, pre-inversion analysis was carried out by comparing three methods to determine the best one and selecting the model inversion method based on hard constraints to obtain the distribution of acoustic impedance. The reservoir porosity properties in the "MFA" structure were predicted using the Probabilistic Neural Network (PNN) method, resulting in a correlation of 0.739843 and an error of 0.00667018 with the final pseudo-polarity attribute. The results show that the reservoir in the "MFA" structure is a carbonate rock with an acoustic impedance value of 5000–7000 (g*m)/(cc*s) and a porosity value of 14 - 19%. The distribution reservoir in the "MFA" structure has a north-south orientation with a layer thickness of ± 33.02 meters, and five new lead-prospect zone locations were found in the study area.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Cekungan Sumatra Utara, Inversi Impedansi Akustik, Probabilistic Neural Network, Reservoir Karbonat, Seismik Multiatribut, North Sumatra Basin, Acoustic Impedance Inversion, Probabilistic Neural Network, Carbonate Reservoir, Multiattribute Seismik
Subjects:	Q Science > QE Geology > QE538.5 Seismic tomography; Seismic waves. Elastic waves T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geophysics Engineering > 33201-(S1) Undergraduate Thesis
Depositing User:	Muhammad Fayyadh Adani
Date Deposited:	13 Aug 2024 08:36
Last Modified:	29 Aug 2024 02:08
URI:	http://repository.its.ac.id/id/eprint/114957

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