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MENGGALI POTENSI RESERVOIR MINYAK YANG TERABAIKAN MELALUI EVALUASI THIN BEDS Putri Caesar, Athifa; Wihardjo, Lukas; Lestari; Wijanti, Puri; Kadarusman, Sunarto
Petro : Jurnal Ilmiah Teknik Perminyakan Vol. 12 No. 3 (2023): SEPTEMBER
Publisher : Jurusan Teknik Perminyakan Fakultas Teknologi Kebumian dan Energi Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/petro.v12i3.17377

Abstract

Penelitian ini bertujuan untuk menggali potensi reservoir minyak yang terabaikan melalui evaluasi thin beds. Thin beds, yang sering diabaikan dalam eksplorasi minyak, dapat menjadi sumber daya yang signifikan jika dikelola dengan baik. Metode evaluasi yang digunakan dalam penelitian ini melibatkan analisis petrofisika, pemodelan reservoir, dan teknik pemrosesan data seismik. Data dari sumur-sumur eksisting dan data seismik dikumpulkan dan dianalisis untuk mengidentifikasi dan karakterisasi reservoir yang potensial. Hasil penelitian ini diharapkan dapat memberikan pemahaman yang lebih baik tentang thin beds sebagai reservoir potensial dan memberikan kontribusi dalam pengembangan strategi eksplorasi minyak yang lebih efektif dan efisien.
Investigating Potential Neglected Oil Reservoirs Using a New Approach Putri Caesar, Athifa; Lestari; Wijayanti, Puri; Wihardjo, Lukas; Kadarusman, Sunarto
Journal of Earth Energy Science, Engineering, and Technology Vol. 7 No. 1 (2024): JEESET VOL. 7 NO. 1 2024
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jeeset.v7i1.18323

Abstract

This research aims to explore the potential of neglected oil reservoirs through thin layer analysis. In this condition, drilling data based on oil base mud are used for analysis so that the effect of drilling mud invasion can be minimized. With the complete Oil Base Mud Imager (OBMI) Log Imager, the results of petrophysical calculations are compared based on standard logs, standard logs with resistivity from oil base mud imager, and using square log modeling for gamma ray, density, neutron and resistivity curves. From modeling and analysis of a 15 ft thick oil layer, the results show that PhiSo*H increases significantly. Based on the calculation results for the high-resolution resistivity log input, the PhiSo*H value has increased by 25% compared to the standard log input. Meanwhile, square log input increases the PhiSo*H value by 235% compared to standard log input. These indicate that there are thin oil layers that are not detected when using standard log input.