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Journal : Scientific Contribution Oil and Gas

 1 
SPECTRAL DECOMPOSITION TECHNIQUE BASED ON STFT AND CWT FOR IDENTIFYING THE HYDROCARBON RESERVOIR Abdul Haris; Haryono; Agus Riyanto
Scientific Contributions Oil and Gas Vol. 40 No. 3 (2017): SCOG
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.40.3.291

Abstract

The spectral decomposition is one of the advanced interpretation techniques such as seismic inversion, amplitude versus offset analysis, and seismic attribute that helpful in direct interpretative approach in seismic exploration. This technique is a transformation algorithm, thus a signal can be transformed into its varying frequency contained in the seismic signal. There are a variety of spectral decomposition algorithms in the decomposing seismic signal from time domain into frequency domain. These algorithms include Short Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT). The STFT algorithm is a conventional and simple technique for computing a time-frequency spectrum, which is based on the application of Fourier transform. However, the STFT algorithm has a problem related to the frequency resolution. In its implementation, this algorithm is limited by predefi ned window length. In contrast, the CWT algorithm is believed to be able to overcome the limitation of window length. The CWT threats wavelet at certain window length, which is defi ned by the characteristics of the wavelet. In this study, the comparison between spectral decomposition technique based on STFT and CWT method was performed, particularly in its application to the synthetic and real data set. Each algorithm has its own advantages and disadvantages in decomposing the seismic signal. Further, this analysis can be used as a reference to select one of two algorithms for the specifi c application. The synthetic data set application shows that CWT algorithm produces better frequency resolution compared to STFT algorithm. In addition, the real data set application shows that time frequency section of the seismic line provides a spectral feature, which is useful to identify the hydrocarbon reservoir, which is associated with low-frequency shadow zone.
Co-Authors ., Rusliyawati Abdul Haris ade rahmawati Ade Sutrisna Afli Audryna Agus Hardiansyah, Muhammad AGUS RIYANTO Agus Sulaksono Agus Yuwono Aishy, Rahadatul Aji Sukarno Angga Mursitasari Aris Budi Setyawan Astarani , Juanda Aswat, Ibnu Atiek Rostika Noviyanti Azmi Saleh Bagus Nurcahyo Budi Santosa Budi Santoso Damayanti, Fera Dayu Kusuma, Hersandy Dedi Aprianto Dhafet, Nur Aeni Muhlisa Ditiya Himawati Elok Heniwati Endang Siswati Engela Evy Ernawati Evy Ernawati Fadhli Nur Afandi Fatmawati, Adinda Ferdian Finalianti Roskaputri Hadir Hudiyanto Hani Harlan Hersandy Dayu Kusuma I Nyoman Miyarta Yasa Icha Elisa Uli Kudadiri Inayah Indah Epriliati Irwan Kurnia iswanto Janah, Aminatul Joko Utomo Joko Utomo Juanda Astarani Juliandri Juliani Pudjowati Julius Nursyamsi Junaidi Junaidi Kapriana, Angga Permadi Karpriana, Angga Permadi Khairul Anam Komsi Koranti Kurnia, Irwan Lasminiasih Ludyanto, Muhammad Ferdy Malathy Batumalay Mardedi, Lalu Zazuli Azhar Masrin Mochammad Muchid Monica, Della Muhammad Raihan Wicaksono Muhsin Mushin Nazarrudin, Alfian Nella Yantiana Nugraha, M. Brigas Ajie Nur Fadhilah Pitaloka, Widia Natakusuma Diah Pramudya Sulaeman, Allyn Prihandoko Puji Astuti Putut Handoko Rachmi Ridho Rafa, Wukuf Dilvan Rahayu, Ainun Rahmadona, Nova Rahmadya Trias Handayanto Renny Nur Afida Rina Sugiarti Rizki Wulan Novianti Rizky Hidayati Rumayya Rusliyawati Santoso, Handri Sari, Shinta Bella Sasih Gunalan Setiawan, Ramdhani Sianipar, Ratu Santana Dewi Pertiwi Skarmelia Goresti Getsemani Dala Solihudin Sri Nawangsari Sri Puji Ganefati Sri Sularti Dewanti Handayani, Sri Sularti Dewanti Sri Sumartiningsih Stanty Aufia Rahmat Sugeng Samiyono Sugianto Susi Tri Wahyuni Syafiqoh, Aisyatus Tertio Kunto Dewo Titi Prihatin Ullya Rahmawati Vibriana Wulandari, Evita Wardoyo Wijayanti, Selly Wiraputra, Muhammad Rizki Wiwik Handayani Zayyana Cendikia Medina