PREDIKSI DISTRIBUSI SAND MENGGUNAKAN PEMODELAN GEOSTATISTIK

Authors

  • Elistia Liza Namigo Jurusan Fisika. FMIPA. Universitas Andalas, Indonesia

DOI:

https://doi.org/10.25077/jif.6.2.45-51.2014

Abstract

Gambaran distribusi fasies dan heterogenitas geologi yang representatif sangat diperlukan dalam pengelolaan aktivitas eksplorasi dan eksploitasi migas di bawah permukaan. Telah dilakukan pemodelan distribusi sand pada formasi Missisauga, lapangan Penobscot dengan menggunakan tiga algoritma berbasis grid yaitu Sequential Indicator Simulation (SIS) dan Truncated Gaussian Simulation (TGS) dan Multipoint Geostatistic (MPG). SIS dan TGS yang merupakan algoritma yang berbasis variogram, mampu menghasilkan model yang merepresentasikan korelasi spasial antar sumur dengan cukup baik namun belum secara optimal menangkap geometri fasies akibat sifat dari variogram yang hanya bisa memodelkan kontinuitas spasial antara dua lokasi pada satu waktu. TGS lebih unggul dibandingkan SIS pada aspek keterhubungan lateral dari sand channel dan distribusi fasies terlihat lebih well-ordered (sand-shalysand-shale).. MPG yang merupakan metode yang didasarkan pada data singkapan menawarkan korelasi lateral yang lebih baik.

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References

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Published

2014-09-10

How to Cite

Namigo, E. L. (2014). PREDIKSI DISTRIBUSI SAND MENGGUNAKAN PEMODELAN GEOSTATISTIK. JURNAL ILMU FISIKA | UNIVERSITAS ANDALAS, 6(2), 45–51. https://doi.org/10.25077/jif.6.2.45-51.2014

Issue

Vol. 6 No. 2 (2014): September 2014

Section

Riset Artikel

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