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All Journal Scientific Contribution Oil and Gas LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI
Herru Lastiadi Setiawan
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Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Energy Engineering Environmental Science

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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.
An Integrated Approach for Revisiting Basin-Scale Heavy Oil Potential of The Central Sumatera Basin Bambang Widarsono; Herru Lastiadi Setiawan; Tri Muji Susantoro; Suliantara; Jonathan Setyoko Hadimuljono; Desi Yensusminar; Julikah; Ongki Ari Prayoga
Scientific Contributions Oil and Gas Vol. 44 No. 1 (2021): SCOG
Publisher : Testing Center for Oil and Gas LEMIGAS

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Abstract

Central Sumatra Basin is one of the most prolifi c hydrocarbon basins in Indonesia and has proved itself as being the largest contributor to Indonesia’s national crude oil production. Heavy oil fi elds in the basin, such Duri fi eld as the largest one, plays a very important role in making up the basin’s whole oil production output. In general, the Central Sumatra Basin is also acknowledged for its heavy oil potential. Accordingly, a study under the auspices of the Ministry of Energy and Mineral Resources (MEMR) of the Republic of Indonesia is carried out to re-visit the potential. The study establishes and implements an integrated approach formed by a combined macro and micro analyses. In the macro analysis, a combined evaluations of regional geology, geophysics, geochemistry, remote sensing/geographic information system ( GIS), regional geothermal study, and fi eld survey/ microbiology is performed to identify geological positions of the heavy oil potential. In the micro analysis, on the other hand, qualitative and quantitative well-log analyses supported by well-test and laboratory measurement data on the identifi ed geological positions are carried out with an aim of identifying heavy oil bearing reservoirs/traps under three categories of certainty. The main result of the study is identifi cation of 51 fi elds/structures - producing and non-producing – that bears heavy oil within the three categories. Findings of the study can certainly be used as a prerequisite for more intensive and expansive studies to meet the need for a more solid conclusion regarding the heavy oil potential of the Central Sumatra Basin
A Preliminary Study on Heavy Oil Location in Central Sumatra using Remote Sensing and Geographic Information Sytem Suliantara; Tri Muji Susantoro; Herru Lastiadi Setiawan; Nurus Firdaus
Scientific Contributions Oil and Gas Vol. 44 No. 1 (2021): SCOG
Publisher : Testing Center for Oil and Gas LEMIGAS

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Abstract

Heavy oil which is classifi ed as non conventional oil is the target of exploration in the world. In Indonesia, the potential for heavy oil exploration is quite large, especially in the Central Sumatra basin. This study aims to map the location of potential heavy oil based on remote sensing data and regional gravity data supported by a geographic information system. Landsat 8 OLI satellite data is processed to produce 567 (RGB) color composite images, then further processing is carried out with DEM data to produce fusion images; mapping the vegetation index, clay mineral index, iron oxide index, surface temperature. The gravity data is used for mapping subsurface geological structures. Overlay analysis is carried out on the results of remote sensing data processing and interpretation of surface and subsurface geology. Based on the analysis, it shows that heavy oil fi elds are generally found on the surface and subsurface structures which are relatively identical and located on the edge of the basement high. Based on this analysis, the locations that have the potential for heavy oil and gas traps are on the northeast edge, Dalu-dalu High, the edge of Kampar High, the west edge of Kuantan High, the southwest edge of the Beruk High, the southwest edge of the Sembilan High.
PEMANFAATAN METODE MULTISPEKTRAL UNTUK IDENTIFIKASI LITOLOGI PADA EKSPLORASI MIGAS. Yudi Kuntoro; Tri Mudji Susantoro; Herru Lastiadi Setiawan; Nurus Firdaus; Panuju; Epo Prasetya Kusumah
Lembaran Publikasi Minyak dan Gas Bumi Vol. 54 No. 1 (2020): LPMGB
Publisher : BBPMGB LEMIGAS

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Abstract

Penelitian ini dilatarbelakangi oleh tidak terjangkaunya beberapa titik penting pada saat melaksanakan survei geologi karena faktor topografi atau faktor lain. Titik penting itu berupa singkapan batuan, maupun rembesan migas. Penelitian ini mengusulkan penggunaan sensor multispektral yang dimobilisasi menggunakan drone untuk membantu menjangkau semua titik dan meningkatkan efektivitas dan efisiensi survei. Penelitian ini dibangun dari hipotesis bahwa setiap manifestasi geologi akan mempunyai spektrum yang unik. Kegiatan penelitian ini mencakup perekaman spektrum sampel batuan referensi dan perekaman di lapangan (daerah aliran sungai Cipamingkis, Kabupaten Bogor). Hasil perekaman menunjukkan sebanyak 12 dari 14 sampel batupasir menghasilkan kurva berbentuk seperti huruf M, di mana band-2 dan band-4 mempunyai nilai lebih tinggi dibanding band lain. Enam sampel batulempung menunjukkan spektrum dengan puncak reflektansi pada band-4. Empat sampel batugamping memberikan spektrum dengan puncak pada band-2. Dua sampel batuserpih membentuk kurva menyerupai batulempung, sedangkan dua sampel lainnya mempunyai kurva menurun dari band-1 ke band-5. Dua sampel batubara mempunyai bentuk spektrum identik. Terakhir, 5 dari 6 sampel batuan beku menghasilkan bentuk kurva dengan puncak tertinggi pada band-2 dan terendah pada band-4. Hasil perekaman batuan referensi menunjukkan konsistensi data hingga 87,5% dan dari kegiatan ini dapat disimpulkan bahwa metode multispektral dapat digunakan untuk menidentifikasi manifestasi geologi.
Co-Authors Adis Jayati Agung Budi Harto Ahmat Maryanto Bambang Widarsono Danang Surya Candra Desi Yensusminar Epo Prasetya Kusumah Gatot Nugroho Jonathan Setyoko Hadimuljono Julikah Kurdianto M Rokhis Khomarudin Nurus Firdaus Ongki Ari Prayoga Panuju Rahmat Arief Sayidah Sulma Suliantara Tri Mudji Susantoro Tri Muji Susantoro Yohanes Fridolin Hestrio Yudi Kuntoro