STUDI WATERFLOOD PADA LAPANGAN X MENGGUNAKAN SOFTWARE CMG

Authors

  • Muhammad Haries Septiyawan Universitas Pertamina
  • Ajeng Purna Putri Oktaviani Universitas Pertamina

Keywords:

Laju penetrasi, rate of penetration, Machine Learning, multilayer perceptron (MPL), Mean Absolute Percentage Error (MAPE), generalisasi model

Abstract

Penelitian ini membahas metode waterflood, teknik pemulihan minyak dengan menginjeksikan air dari sumur injeksi ke sumur produksi. Tujuannya adalah memodelkan simulasi waterflood pada reservoir heterogen menggunakan software CMG, menentukan strategi optimal pengaturan sumur, dan menganalisis efektivitas waterflood dalam meningkatkan Recovery Factor (RF). Data simulasi diambil dari jurnal relevan, kemudian diuji dengan parameter sensitivitas BHP dan. Software CMG digunakan untuk memodelkan reservoir berdasarkan data seperti porositas, permeabilitas, tekanan, data PVT fluida, dan data sumur. Hasil simulasi menunjukkan RF tertinggi sebesar 36,95% dengan konfigurasi tekanan dasar sumur (BHP) injeksi 3000 psi, BHP produksi 2000 psi, dan laju injeksi 5000 bbl/hari. Optimasi dilakukan dengan mengubah nilai BHP injeksi dan produksi, menyesuaikan laju injeksi, serta menambahkan hydraulic fracture pada sumur produksi dan injeksi. Pemodelan menggunakan software CMG menunjukkan bahwa strategi optimasi efektif meningkatkan produksi minyak. Penelitian ini menyimpulkan bahwa waterflood dapat meningkatkan efisiensi pemulihan minyak dengan strategi optimasi yang tepat.

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Published

28-02-2025

Issue

Vol. 3 No. 01 (2025): SUBSURFACE

Section

Articles

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