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All Journal International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Geofisika Scientific Contribution Oil and Gas The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Gatot Nugroho
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Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Energy Engineering Environmental Science Physics

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PEMODELAN METODE DEEP SOUNDING TEM UNTUK MONITORING INJEKSI KARBON DIOKSIDA (CO2) PADA RESERVOIR Gatot Nugroho; Warsa Warsa
Jurnal Geofisika Vol 15 No 2 (2017): Jurnal Geofisika
Publisher : Himpunan Ahli Geofisika Indonesia (HAGI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36435/jgf.v15i2.406

Abstract

Pemantauan distribusi CO2 merupakan salah satu hal yang sangat penting dalam keberlanjutan CCS. Sampai saat ini pemantauan geofisika yang sering digunakan adalah metode seismik. Penelitian ini dimaksudkan untuk mengetahui kemampuan metode deep TEM untuk melakukan pemantauan pada CCSmelalui pemodelan metode deep TEM untuk simulasi pemantauan injeksi CO2. Data TEM sebelum dan sesudah dilakukan injeksi CO2 dibandingkan untuk mengetahui pengaruh keberadaan CO2. Data TEM sebelum injeksi diperoleh dari pengukuran di lapangan pada tahun 2013. Data TEM setelah injeksi diperoleh dari hasil pemodelan ke depan dengan parameter model yang diperoleh dari hasil inversi data TEM lapangan. Pemodelan inversi dilakukan dengan menggunakan metode inversi SVD damped least square. Proses inversi SVD digunakan untuk mengidentifikasi reservoir dan memetakan distribusi CO2pada reservoir. Hasil pemodelan inversi satu dimensi diolah menjadi model dua dimensi dengan menggunakan perangkat lunak Rockworks16. Hasil pemodelan inversi data TEM lapangan menunjukkan bahwa reservoir mempunyai resistivitas rendah yaitu 2 Ωm sampai 4 Ωm. Reservoir ini berada pada kedalaman 900 m sampai 1200 m di bawah permukaan. Perbandingan data TEM sebelum injeksi CO2 dan setelah injeksi CO2 menunjukkan adanya pengaruh CO2 terhadap kurva data TEM sebelum dan setelah injeksi CO2 secara jelas. Pola kurva data TEM setelah injeksi menenjadi lebih curam pada bagian tengah dari pada kondisi sebelum ada injeksi CO2. Perubahan kurva TEM yang menjadi lebih curam tersebut disebabkan oleh keberadaan CO2 pada reservoir meningkatkan resistivitas reservoir. Lapisan reservoir setelah injeksi mempunyai resistivitas yang lebih tinggi membuat waktu peluruhan medan elektromagnetik pada lapisan tersebut menjadi lebih cepat, sehingga kurvanya menjadi lebih curam. Hasil pemodelan inversi setelah dilakukan injeksi CO2 mempunyai kesalahan perhitungan yang cukup kecil yaitu kurang dari 5%. Meskipun mempunyai kesalahan yang kecil hasil yang diperoleh tidak sesuai dengan kondisi yang sebenarnya. Hasil yang tidak sesuai tersebut dikarenakan solusi metode SVD damped least square bukan merupakan solusi yang unik. Selain itu, pendekatan lokal yang digunakanpada metode inversi tersebut membuat nilai minimum yang diperoleh saat proses inversi merupakan nilai minimum lokal. Sehingga hasil yang diperoleh tidak bisa menunjukkan pengaruh data secara keseluruhan meskipun dengan nilai kesalahan perhitungan yang kecil. Secara umum hasil yang diperoleh dari prosesinversi tidak bisa diterima, akan tetapi dari masing-masing titik data dapat teramati adanya peningkatan resistitas reservoir dari 1 Ωm sampai 3 Ωm.
LAND USE/COVER CHANGE ON POTENTIAL LOSS OF SUMATRAN TIGERS IN KERINCI SEBLAT NATIONAL PARK BASED ON REMOTE SENSING DATA Mohammad Ardha; Muhammad Rokhis Khomarudin; Gatot Nugroho
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 19, No.1 (2022)
Publisher : Ikatan Geografi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3782

Abstract

The Sumatran tiger is an animal whose life is threatened due to land use changes and human activities. This study described the correlations between land cover/use change and the potential loss of Sumatran tigers in Kerinci Seblat National Park (KSNP) based on remote sensing data. Remote sensing technology was used due to the good historical data, and it can be used for land cover change analysis. The results of the land change analysis can be used to the analysis of the changes in the suitability level of the Sumatran tiger habitat. The analysis of land change in 2000 and 2020 with the random forest classification method and changes in the level of suitability of the Sumatran Tiger habitat has been carried out. The results of the analysis of land cover/use changes showed a very significant reduction in the area of primary forest, namely 282.58 km2, while the increase in the area of plantations and secondary forests was 186.52 km2 and 101.68 km2. This change affects the suitability level of the Sumatran tiger habitat from a very suitable level decreased from 164.42 km2 to suitable and not suitable. The declining suitability level class indicated the potential loss of Sumatran tigers in the Kerinci Seblat National Park. The increasing of plantation and settlement areas will increase the activity of humans. The conflict of human activity with Sumatran tigers’ life will impact the loss of Sumatran Tigers in KSNP
The Potential of Remote Sensing Data for Oil and Gas Exploration in Indonesia: a Review Tri Muji Susantoro; Suliantara; Agung Budi Harto; Herru Lastiadi Setiawan; Gatot Nugroho; Danang Surya Candra; Adis Jayati; Sayidah Sulma; M Rokhis Khomarudin; Rahmat Arief; Ahmat Maryanto; Yohanes Fridolin Hestrio; Kurdianto
Scientific Contributions Oil and Gas Vol. 46 No. 1 (2023): SCOG
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.46.1.317

Abstract

Oil and gas are important commodities in Indonesia and remain the main source for energy in various sectors. Therefore, the government aim to produce 1 million barrels of oil per day (BOPD) by 2030. To achieve this goal, exploration work is needed to discover new reserves and maintain production in existing fields. This study reviews the experience of oil and gas exploration in Indonesia using remote sensing data and the potential of using remote sensing data for oil and gas exploration through surface anomalies. Surface anomalies are changes or deviations that occur on the surface as the result of the presence of oil and gas underneath. These anomalies included vegetation growing stunted, yellowing or dying, changes in the quantity and composition of clay minerals, iron oxide, increased concentrations of hydrocarbons, helium, radon, carbon dioxide, microbes, and the presence of paraffin dirt formation, as well as geomorphological changes. This study aims to assess and explain the capabilities of remote sensing data in Indonesia for oil and gas exploration. The results show that remote sensing can be used for the initial exploration of oil and gas by delineating areas of potential oil and gas traps based on topographical anomalies and geological mapping integrated with gravity data and increasing confidence in the presence of oil and gas in the subsurface based on surface anomalies. These results are expected that the usefulness of remote sensing can be used to support oil and gas exploration in Indonesia and can be recognized and used for oil and gas activities by utilizing existing methods and discovering methods for data processing and their applications.
LAND USE/COVER CHANGE ON POTENTIAL LOSS OF SUMATRAN TIGERS IN KERINCI SEBLAT NATIONAL PARK BASED ON REMOTE SENSING DATA Muhammad Ardha; Muhammad Rokhis Khomarudin; Gatot Nugroho
International Journal of Remote Sensing and Earth Sciences Vol. 19 No. 1 (2022)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3782

Abstract

The Sumatran tiger is an animal whose life is threatened due to land use changes and human activities. This study described the correlations between land cover/use change and the potential loss of Sumatran tigers in Kerinci Seblat National Park (KSNP) based on remote sensing data. Remote sensing technology was used due to the good historical data, and it can be used for land cover change analysis. The results of the land change analysis can be used to the analysis of the changes in the suitability level of the Sumatran tiger habitat. The analysis of land change in 2000 and 2020 with the random forest classification method and changes in the level of suitability of the Sumatran Tiger habitat has been carried out. The results of the analysis of land cover/use changes showed a very significant reduction in the area of primary forest, namely 282.58 km2, while the increase in the area of plantations and secondary forests was 186.52 km2 and 101.68 km2. This change affects the suitability level of the Sumatran tiger habitat from a very suitable level decreased from 164.42 km2 to suitable and not suitable. The declining suitability level class indicated the potential loss of Sumatran tigers in the Kerinci Seblat National Park. The increasing of plantation and settlement areas will increase the activity of humans. The conflict of human activity with Sumatran tigers’ life will impact the loss of Sumatran Tigers in KSNP
MONITORING MODEL OF LAND COVER CHANGE FOR THE INDICATION OF DEVEGETATION AND REVEGETATION USING SENTINEL-2 Samsul Arifin; Tatik Kartika; Dede Dirgahayu; Gatot Nugroho
International Journal of Remote Sensing and Earth Sciences Vol. 17 No. 2 (2020)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2020.v17.a3385

Abstract

IInformation on land cover change is very important for various purposes, including the monitoring of changes for environmental sustainability. The objective of this study is to create a monitoring model of land cover change for the indication of devegetation and revegetation usingdata fromSentinel-2 from 2017 to 2018 of the Brantas watershed.This is one of the priority watersheds in Indonesia, so it is necessary to observe changes in its environment, including land cover change. Such change can be detected using remote sensing data. The method used is a hybrid between Normalized Difference Vegetation Index(NDVI) and Normalized Burn Ratio (NBR) which aims to detect land changes with a focus on devegetationand revegetation by determining the threshold value for vegetation index (ΔNDVI) and open land index (ΔNBR).The study found that the best thresholds to detect revegetation were ΔNDVI > 0.0309 and ΔNBR < 0.0176 and to detect devegetation ΔNDVI < -0.0206 and ΔNBR > 0.0314.It is concluded that Sentinel-2 data can be used to monitor land changes indicating devegetation and revegetation with established NDVI and NBR threshold conditions.
Co-Authors Adis Jayati Agung Budi Harto Ahmat Maryanto Danang Surya Candra Dede Dirgahayu Herru Lastiadi Setiawan Kurdianto M Rokhis Khomarudin Mohammad Ardha Muhammad Ardha Muhammad Rokhis Khomarudin Muhammad Rokhis Khomarudin Rahmat Arief samsul arifin Sayidah Sulma Suliantara Tatik Kartika Tri Muji Susantoro Warsa warsa Yohanes Fridolin Hestrio