Prediksi Permeabilitas dan Distribusi Rock Type Berbasis Pore Geometry Structure pada Batuan Reservoir Karbonat Cekungan Jawa Timur Utara

Fadloli, Rifqi Fakhri (2024) Prediksi Permeabilitas dan Distribusi Rock Type Berbasis Pore Geometry Structure pada Batuan Reservoir Karbonat Cekungan Jawa Timur Utara. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Permeabilitas dalam formasi batuan sangat dipengaruhi oleh arsitektur sistem pori. Metode tradisional untuk prediksi permeabilitas, seperti memplot permeabilitas terhadap porositas dari Routine Core Analysis (RCAL), sering kali kurang memiliki justifikasi geologis yang mendetail, yang mengarah pada kesalahan. Penelitian ini bertujuan untuk mengembangkan model permeabilitas yang menggabungkan geometri dan struktur pori (PGS) serta tipe batuan berdasarkan analisis petrografi dan petrofisika. Penelitian ini berfokus pada batuan karbonat di Cekungan Jawa Timur, di mana dalam formasi karbonat, 60% cadangan minyak dan gas dunia ditemukan. Karena tingginya heterogenitas reservoir karbonat, identifikasi tipe batuan dengan kualitas penyimpanan hidrokarbon terbaik sangatlah penting. Persamaan Kozeny, yang didasarkan pada teori radius hidraulik, digunakan untuk menentukan flow efficiency dan eksponen self similarity, yang mencirikan struktur pori. Rock typing dilakukan menggunakan metode Self Organizing Map, sebuah teknik clustering berbasis neural network, untuk memodelkan tipe batuan berdasarkan PGS. Pendekatan ini mengatasi tingginya heterogenitas reservoir karbonat, membantu dalam evaluasi kualitas batuan di lapangan RFF. Analisis ini mengidentifikasi tipe batuan yang berbeda berdasarkan geometri dan struktur pori. Penelitian ini mengklasifikasikan empat tipe batuan: foraminiferal grainstone (RT-1), packstone (RT-2), intraclast floatstone (RT-3), dan intraclast-skeletal wackestone (RT-4). Metode SOM secara efektif menentukan distribusi tipe batuan di sumur yang tidak memiliki data core, memberikan model yang andal untuk memprediksi permeabilitas dalam formasi karbonat di lapangan RFF dengan akurasi 83,49%. Untuk prediksi permeabilitas, persamaan yang diturunkan dari rock typing PGS menunjukkan korelasi yang lebih tinggi (82,1%) dibandingkan dengan persamaan Timur (25%).
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Permeability in rock formations is significantly influenced by the architecture of the pore system. Traditional methods of permeability prediction, such as plotting permeability against porosity from Routine Core Analysis (RCAL), often lack detailed geological justification, leading to errors. This study aims to develop a permeability model that incorporates pore geometry and structure (PGS) and rock typing based on petrographic analysis. The research focuses on carbonate rocks in the East Java Basin, where in carbonate formations, 60% of global oil and gas reserves are found. Due to the high heterogeneity of carbonate reservoirs, identifying rock types with the best hydrocarbon storage quality is crucial. The Kozeny equation, based on hydraulic radius theory, is used to determine flow efficiency and self-similarity exponent, which characterize pore structure. Rock typing is performed using the Self Organizing Map method, a neural network-based clustering technique, to model rock types based on PGS. This approach addresses the high heterogeneity of carbonate reservoirs, aiding in the evaluation of rock quality in the RFF field. The analysis identified distinct rock types based on pore geometry and structure. This research classified four rock types: foraminiferal grainstone (RT-1), packstone (RT-2), intraclast floatstone (RT-3), and intraclast-skeletal wackestone (RT-4). The SOM method effectively determined rock type distributions in uncored wells, providing a reliable model for predicting permeability in the RFF Field’s carbonate formations with an accuracy of 83.49%. For permeability prediction, the equation derived from rock typing showed a higher correlation (82.1%) compared to the Timur equation (25%).

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Prediksi Permeabilitas, Pore Geometry Structure, Reservoir Karbonat, Rock Typing, Self-Organizing Map, Carbonate Reservoir, Permeability Prediction, Pore Geometry Structure, Rock Typing, Self-Organizing Map
Subjects:	Q Science > QE Geology > QE601 Geology, Structural
Divisions:	Faculty of Civil Engineering and Planning > Geophysics Engineering > 33201-(S1) Undergraduate Thesis
Depositing User:	Rifqi Fakhri Fadloli
Date Deposited:	08 Aug 2024 15:04
Last Modified:	08 Aug 2024 15:04
URI:	http://repository.its.ac.id/id/eprint/114494

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