Pascaloa, M Rafif
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

STRATIGRAFI SUSEPTIBILITAS MAGNETIK SINGKAPAN EMBUNG E SEBAGAI ACUAN INTERPRETASI BAWAH PERMUKAAN DI INSTITUT TEKNOLOGI SUMATERA Santoso, Nono Agus; Pascaloa, M Rafif; Zaenudin, Ahmad
Jurnal Geosaintek Vol. 8 No. 1 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Reference in interpretation is very important. We cannot always rely on the Telford table because each region has different physical parameters. The purpose of this study was to create a magnetic susceptibility stratigraphy of the Embung E outcrop with the hope that it could be used as a reference for subsurface interpretation at the Sumatran Institute of Technology (ITERA). The results obtained that the Embung E outcrop has a magnetic susceptibility stratigraphy consisting of soil, tuff and tuffan clay. Sequentially the magnetic susceptibility of the soil is about 5 – 90 × 10-8m3/kg, tuff is about 1-10 × 10-8m3/kg and the tuff clay is about 5 – 80 × 10-8m3/kg. This result can be used as a reference for interpretation because it has been correlated with geological observations of rocks in the field.
FULL WAVEFORM INVERSION USING REVERSE TIME MIGRATION AND GOLDEN RATIO Aparajita, Made Jnanaparama; Pascaloa, M Rafif; Putra, Ahmad Dedi; Naufal, Harish Hartsa
JGE (Jurnal Geofisika Eksplorasi) Vol. 11 No. 3 (2025)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v11i3.502

Abstract

Seismic wave imaging techniques, such as conventional full-waveform inversion (FWI), which utilize numerical solutions of seismic wave equations, can be a valuable tool for estimating high resolution models of complex geological conditions. However, conventional FWI only uses one variable recording to find the minimum misfit in the step length calculation process, unlike the FWI golden ratio, which looks for minimum misfits using the four-variable recording. The method of calculating the four-variable recording continues to be updated until the velocity value from the FWI golden ratio is close to the actual velocity model values. Then, using reverse-time migration (RTM) in this case study is crucial for determining the final results of the velocity value in the FWI golden ratio. RTM takes over as the actual recording and is used in the process of calculating the gradient on this FWI golden ratio. The gradient is then calculated with a step length to get the model update. Using the golden ratio and gradient step length from RTM really helps reduce misfit. The final result, obtained using RTM and the golden ratio in the FWI method, produces an image that resembles the shape of the true synthetic model and yields updated velocity values that are not significantly different from the true velocity values in the synthetic model.