Research have been done about noise removal caused by environment (swell noise) and linear noise on high frequency 2D seismic data on line “AF” using swell noise attenuation (SWNA) method, f-k filter and tau-p transformation. Based on obtained result, swell noise succeed removed from data using velocity limited filter that is 1000 m/s on frequency 25 Hz applied to swell noise attenuation process. Applied SWNA data, then created input f-k filter process. In f-k filter process, used polygon design having a minimum frequency limit around 5 Hz maximum high frequency around 450 Hz. The results f-k filter giving a good output with linear noise removal to time 1500 ms. F-k filter output obtained, then processed again using tau-p transformation method. Application of tau-p transformation transformed data into (τ-p) domain. Transformed data on (τ-p) domain, linear noise made on moveout 600 ms. Then the data muted using surgical mute. Based on obtained result, tau-p result can removing linear noise on data. Linear noise removed dominating on time 1500 ms-2500 ms. That matter caused by linear noise on time 0-1500 ms succeed removed using previous process. After the method succesfully applied , data processing continued doing the stack and migration process. Applied migration is postack kirchoff time migration, migration do with migration angel around 300 and aperture around 600 m.
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