Inversi Anomali Self-Potential Untuk Inclined Sheet 2D Menggunakan Algoritma Flower Pollination

Wijayanti, Artika (2017) Inversi Anomali Self-Potential Untuk Inclined Sheet 2D Menggunakan Algoritma Flower Pollination. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Interpretasi data self-potential (SP) dapat dilakukan melalui inversi melalui proses pencocokkan data pengukuran dengan data model yang dilakukan secara otomatis. Dengan demikian, diperlukan suatu metode untuk proses tersebut. Penelitian ini, untuk mengetahui kemampuan flower pollination algorithm (FPA) dalam mengestimasi parameter model beserta ketidakpastiannya dari anomali SP dengan asumsi model inclined sheet 2D. Algoritma ini telah di tes pada data sintetik (tanpa dan ditambah noise) dan data lapangan (yang sudah dianalisis dan belum dianalisis). Hasilnya ialah pada data sintetik, FPA akurat untuk proses inversi data SP (model inclined sheet) dan mampu menyediakan PDM dengan cepat sedangkan untuk data lapangan hasil inversinya mirip dengan hasil inversi menggunakan metode metode sebelumnya serta hasilnya juga sesuai dengan kondisi geologi setempat. ============================================================ ===== Interpretation of self-potential (SP) data can be done by inversion through automatically matching measurement data and model data. Thus, it requires a method to complete that process. The objective of this research is to identify flower pollination algorithm ability in estimating parameter model and its uncertainty of SP anomaly with inclined sheet 2D assumption. This algorithm has been tested to synthetic (with and without noise) and field data (pre and post analyzed). The result is in synthetic data, FPA is accurate for SP data inversion process (inclined sheet model) and able to provide PDM quickly while for field data inversinya results similar to inversion result using method of previous methodand it was also suitable with the local geological condition.

Item Type: Thesis (Undergraduate)
Additional Information: RSFi 551 Wij i
Uncontrolled Keywords: FPA, inclined sheet, parameter model, posterior distribution model, self potential.
Subjects: Q Science > QC Physics
Q Science > QE Geology
Divisions: Faculty of Mathematics and Science > Physics > 45201-(S1) Undergraduate Thesis
Depositing User: Artika Wijayanti .
Date Deposited: 16 Nov 2017 06:00
Last Modified: 06 Mar 2019 03:09
URI: https://repository.its.ac.id/id/eprint/43875

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