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All Journal SCHOOL EDUCATION JOURNAL PGSD FIP UNIMED Journal of Degraded and Mining Lands Management PENELITIAN DAN KARYA ILMIAH PROSIDING SEMINAR NASIONAL CENDEKIAWAN JOURNAL OF EARTH ENERGY ENGINEERING Journal of Applied Engineering and Technological Science (JAETS) JURNAL PENELITIAN DAN KARYA ILMIAH LEMBAGA PENELITIAN UNIVERSITAS TRISAKTI JUITECH: Jurnal Ilmiah Fakultas Teknik Universitas Quality Journal of Engineering Environtmental Energy and Science Jurnal Penelitian dan Karya Ilmiah Lembaga Penelitian Universitas Trisakti INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY Petro : Jurnal Ilmiah Teknik Perminyakan Journal of Geoscience Engineering and Energy (JOGEE) JURNAL ABDI MASYARAKAT INDONESIA (JAMIN) Journal of Earth Energy Science, Engineering, and Technology Aceh International Journal of Science and Technology Jurnal Geosaintek
Suryo Prakoso, Suryo
Teknik Perminyakan, Fakultas Teknologi Kebumian Dan Energi, Universitas Trisakti, Jakarta, Indonesia
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Journal : Jurnal Geosaintek

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EFFECTIVE POROSITY PREDICTION FROM WELL LOG DATA USING SUPPORT VECTOR MACHINE (SVM) Saroji, Sudarmaji; Haqqi, Muhammad Fajrul; Prakoso, Suryo
Jurnal Geosaintek Vol. 11 No. 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25023659.v11i1.1936

Abstract

Support Vector Machine (SVM) algorithm is a machine learning method renowned for its high accuracy and computational efficiency in prediction and classification tasks. In this study, SVM was applied to predict effective porosity from well log data. The prediction model was optimized using GridsearhCV (GS CV) module and tested on seven wells from the 'Mentari' field, Indonesia. Six variations of training-testing configuration were evaluated to assess the prediction performance. The best ere acjieved using four training wells and three testing wells, yielding  an accuracy of 71% with training time of 1.98 seconds. The analysis revealed that increasing the volume of training data improves accuracy, albeit with longer computational time. This study confirms that SVM demonstrates strong predictive capability for effective porosity and has the potential to serve as a supporting tool in simplifying geological interpretation, particularly during the initial analysis stage when sufficient training data is available.
Co-Authors Albasri Alviona Nabyla Akbary Ammar Ammar Andreas Setiabudi Annisa Arisyi M. Apriandi Rizkina Rangga Wastu Ardak Yskak Ari Febriana Kabisat Ari Febriana Kabisat, Ari Febriana Asri Nugrahanti Asri Nugrahanti, Asri Auliya, Hilyah Bambang Soegijono Bayu Satiyawira Benyamin Benyamin Benyamin Benyamin Benyamin, Benyamin Cahaya Rosyidan Daniel Edbert Dian Asraria Djunaedi Agus Wibowo Doddy Abdassah Dundie Prasetyo Dwi Atty Mardiana Dwi Kurnianto Eko Widianto Eko Widianto Ekrar Winata Ekrar Winata Evi Ulina Margareta Situmorang Fadliah, Fadliah Fadliah, Fadliah Faisal Danu Tuheteru Fajarwati, Kartika Fathaddin, Muh. Taufiq Fernandez Sabar Hasudungan Pangaribuan Firman Herdiansyah Firman Herdiansyah Firman Herdiansyah Firman Herdiansyah, Firman Gemintang Atlantika Urbiyanto Ghanima Yasmaniar Gorgeous Wenno H Husna Haqqi, Muhammad Fajrul Havidh Pramadika Hayafa Fakhriyatul Ummah Henry David Young Hidayat, Hifdzan Rizki Hidayat, Putra Pratama Wahyu Hilyah Auliya I Putu Suarsana Irvan, Rayhan Iwan Sumirat Iwan Sumirat Kartika Fajarwati kartika fajarwati hartono L.E Wenno, Gorgeous Lilik Zabidi M. Taufiq Fathaddin M. Taufiq Fathaddin, M. Taufiq Maman Djumantara Maman Djumantara Maman Djumantara, Maman Mardiana, Dwi Atty Maulani, Mustamina Mildo Hasoloan Nainggolan Mixsindo Korra Herdyanti Mohamad Salsabila Muhammad Burhannudinnur Muhammad Burhannudinnur Muhammad Burhannudinnur Muhammad Burhannudinnur Muhammad Himawan Prakoso Muhammad Taufiq Fathaddin, Muhammad Taufiq Muhammad Yunan Hasbi Mustamina Maulani Nida Muthia Lamis Onnie Ridaliani, Onnie Pantjanita Novi Hartami Paramita Jaya Ratri Pearlo, Kevin Lukas Pradhana, Renato Aditya Patria Pri Agung Rakhmanto Pri Agung Rakhmanto Profit Pradana puri wijayanti Puri Wijayanti, Puri Putra Pratama Wahyu Hidayat Putra, Raka Handika Rachmad Sudibjo Rachmatika, Danella Rahkmanto, Pri Agung Raka Handika Putra Rakhmanto, Pri Agung Ratnayu Sitaresmi Ratnayu Sitaresmi Ratri, Paramita Jaya Rayhan Irvan Renato Aditya Patria Pradhana Reza Fadhlan Rini Setiati Ririn Yulianti Riswati, Shabrina Sri Riza Antares Samsol Samsol Samura, Lisa Saroji*, Sudarmaji Saroji, Sudarmaji Sembodo . Shabrina Sri Riswati Shabrina Sri Riswati Sigit Rahmawan Soekardy, Mentari Gracia Sri Feni Maulindani Sudarmaji Saroji Sugiatmo Kasmungin Suparwoto, Sugeng Susetyo, Ferry Budhi Syamsul Irham Syamsul Irham Syamsul Irham, Syamsul Taufan Marhaendrajana, Taufan Teddy Irano Tri Handoyo TRI HANDOYO Tuheteru, Edy Jamal Urbiyanto, Gemintang Atlantika Valentino, Boy Candra Yskak, Ardak Ziad Ziad