Mapping Iron Oxide Distribution on the Ground Surface of the Tugu Barat Oil and Gas Field Using Landsat 8 OLI and Field Data
Abstract
Previous studies have demonstrated that Landsat series data can be utilized to map rock change in arid and semi-arid environments. In this study, Landsat 8 Operational Land Imager (OLI) was used to map the presence of iron oxide (ferrous, ferric, and hematite) in the topsoil of the Tugu Barat Oil and Gas Field, Northwest Java Basin, Indonesia. The aim is to map the distribution of iron oxide and analyze it for detection of the presence of microseepage. The results show that the concentration of the mineral hematite indicates an anomaly, where the edge of the field is very low and tends to rise in the middle, but this condition is unclear, because of the presence of red soil containing high hematite in the north. Based on analysis indicates an anomaly, where the edge of the field is very low and tends to rise in the middle, but this condition is unclear, because of the presence of red soil containing high hematite in the north. Based on analysis of Landsat 8 OLI data, ferrous oxide concentrations show an increase at the edge of the field, especially in the southeast. However, this condition is less visible in the west because of the high vegetation density. The ferric oxide concentration shows the opposite pattern to the ferrous oxide concentration. These results are supported by the ferrous oxide index results from soil reflectance spectra recorded using Analytical Spectral Devices (ASD). Where the ferrous oxide concentration is low at the edge then tends to rise in the middle of the field. Meanwhile, the analysis of ferric oxide from the spectral reflectance of soil from ASD results does not show clear differences. The Normalized Iron Oxide Difference Index (NIODI) analysis shows the presence of small amounts of hematite and no geotite. The research results show evidence of microseepage indications at the edge of the field, especially at the southeastern edge. Iron oxide mapping has the potential to support oil and gas exploration through analysis of alteration processes which are thought to be the impact of micro-seepage.
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References
Annisa, W., Purwanto, B., 2010. Retensi P oleh Oksida Besi di Tanah Sulfat Masam setelah Reklamasi Lahan. Jurnal Sumber Daya Lahan 4, 47–56.
Asadzadeh, S., de Souza Filho, C.R., 2020. Characterization of microseepage-induced diagenetic changes in the Upper-Red Formation, Qom region, Iran. Part I: Outcrop, geochemical, and remote sensing studies. Marine and Petroleum Geology 117, 104149. https://doi.org/10.1016/j.marpetgeo.2019.104149
Bergstresser, M., 2018. Difference Between Ferric Oxide & Ferrous Oxide, in: Organic and Inogragnic Compounds Study Guide.
Collinson, D., 1968. Ferrous and Ferric Iron in Red Sediments and Their Magnetic Properties. Geophys. J.R. Astr. Soc 16, 531–542. https://doi.org/10.1111/j.1365-246X.1968.tb02313.x
Crystiana, I., Susantoro, T.M., Firdaus, N., 2015. Pengolahan Data Citra Satelit untuk Mengidentifikasi Potensi Jebakan dalam Kegiatan Eksplorasi Migas. Lembaran Publikasi Minyak dan Gas Bumi 49, 41–51.
Crystiana, I., Susantoro, T.M., Junaedi, T., 2014. Identifikasi potensi migas melalui citra satelit dengan pendekatan anomali topografi (Studi kasus daerah Indramayu dan sekitarnya. Lembaran Publikasi Minyak dan Gas Bumi 48, 89–102.
Drury, S., 1987. Image Interpretation in Geology. Allen and Unwin, London.
Guo, D.., 1995. Direct Searching for Oil and Gas by Remote Sensing Technology. Acta Petrolei Sinica 16, 9–16.
Habib, A., Abuzar, M.K., Ahmad, I., Shakir, U., Mahmood, S.A., Khan, M.A., Mahmood, M.F., 2019. Detection of mineral alteration induced by hydrocarbon microseepages by using remotely sensed data in the Fateh Jang area of the Northern Potwar region of Pakistan. Arabian Journal of Geosciences 12, 121. https://doi.org/10.1007/s12517-019-4225-3
Hidayat, A., Hardjowigeno, S., Soekardi, M., Sabiham, S., 2002. Peranan Oksida Besi terhadap Sifat Tanah Berpelapukan Lanjut. Jurnal Tanah dan Iklim 20, 47–56.
Hong, Y., 1999. Imaging spectrometry for hydrocarbon microseepage. ITC Dissertation. International Institute for Geo-Information Science and Earth Observation, Netherlands.
Hunt, G., Salisbury, J., 1976. Visible and Near Infrared Spectra of Minerals and Rocks: XI. Sedimentary Rocks. Modern Geology 5, 211–217.
Hunt, G., Salisbury, J., Lenhoff, C., 1974. Visible and Near Infrared Spectra of Minerals and Rocks: IX. Basic and Ultrabasic Igneous Rocks. Modern Geology 5, 15–22.
Liu, X., Bloemendal, J., Rolph, T., 1994. Pedogenesis and Paleoclimate Interpretations of Magnetic Susceptibility Record of Chinese Loses-Paleosol Sequences. Geology 22.
Mackereth, F.J., Heron, J., Talling, J., 1989. Water Analysis. Fresh-Water Biological Association, Cumbria, UK.
Maher, B., Thompson, R., 1992. Paleoclimate Significace of Mineral Magnetic of The Chinese Loses and Paleosols. Quaternary Research. c.
Noomen, M.F., van der Werff, H.M.A., van der Meer, F., 2012. Spectral and spatial indicators of botanical changes caused by long-term hydrocarbon seepage. Ecological Informatics 8, 55–64. https://doi.org/10.1016/j.ecoinf.2012.01.001
Ouattara, T., Couture, R., Bobrowsky, P., More, A., 2004. Remote Sensing and Geosciences. Geological Survey of Canada, Ottawa.
Petrovic, A., Khan, S.D., Chafetz, H.S., 2008. Remote Detection and Geochemical Studies for Finding Hydrocarbon-Induced Alterations in Lisbon Valley, Utah. Marine and Petroleum Geology 25, 696–705. https://doi.org/10.1016/j.marpetgeo.2008.03.008
Petrovic, A., Khan, S.D., Thurmond, A.K., 2012. Integrated hyperspectral remote sensing , geochemical and isotopic studies for understanding hydrocarbon-induced rock alterations. Journal Marine and Petroleum Geology 35, 292–308. https://doi.org/10.1016/j.marpetgeo.2012.01.004
Rajesh, H., 2004. Application of Remote Sensing and GIS in Mineral Resource Mapping- An Overview. Journal of Mineralogical and Petrological Sciences 99, 83–103.
Salati, S., 2014. Characterization and Remote Sensing of Onshore Hydrocarbon Seep-Induced Alteration. University of Twente, ITC. https://doi.org/10.3990/1.9789036536295
Saunders, D.F., Burson, R.K., Thompson, C.K., 1999. Model for Hydrocarbon Microseepages and Related Near-Surface Alteration. Bull. Am. Ass. Petrol. Geology 83, 170–185.
Schumacher, D., 2001. Petroleum Exploration in Environmentally Sensitive Areas: Opportunities for Non-Invasive Geochemical and Remote Sensing Methods, in: Rock the Foundation Convention. Canadian Society of Petroleum Geologists, Canada, pp. 012-1-012–5.
Schumacher, D., 1996. Hydrocarbon-induced alteration of soils and sediments, in: Schumacher, D., A, A.M. (Eds.), AAPG Memoir. The American Association of Petroleum Geologists, pp. 71–89. https://doi.org/10.1306/m66606c6
Schwertmann, U., Taylor, R., 1989. Iron Oxides, in: Dixon, J.., Weed, S.. (Eds.), Mineral in Soil Environments. Soil Science Society of America, Wisconsin, USA.
Shi, P., Fu, B., Ninomiya, Y., 2010. Mapping Hydrocarbon Seepage-Induced Anomalies In The Arid Region, West China Using Multispectral Remote Sensing. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science XXXVIII, 442–447.
Siegal, B., Goetz, A.F.H., 1977. Effect of Vegetation on Rock and Soil Discrimination. Photogrammetric Engineering and Remote Sensing 43, 191–196.
Suliantara, S., Susantoro, T.M., Setiawan, H.L., Firdaus, N., 2021. A preliminary study on heavy oil location in Central Sumatra using remote sensing and geographic information system. Scientific Contributions Oil and Gas (SCOG) 44, 39–54. https://doi.org/10.29017/SCOG.44.1.489
Sun, L., Khan, S., 2016. Ground-Based Hyperspectral Remote Sensing of Hydrocarbon-Induced Rock Alterations at Cement , Oklahoma. Marine and Petroleum Geology 77, 1243–1253. https://doi.org/10.1016/j.marpetgeo.2016.08.019
Susantoro, T.M., Saepuloh, A., Wikantika, K., Maryanto, A., 2024. Hydrocarbon Seepage Analysis on a Hydrocarbon Field in Indonesia Based on Plant Stress Using Landsat-8 Operational Land Imager and Field Measurements Hydrocarbon Seepage Analysis on a Hydrocarbon Field in Indonesia Based on Plant Stress Using Landsat-8 Op. EVERGREEN Joint Journal of Novel Carbon Resource Sciences & Green Asia Strategy 11, 756–770. https://doi.org/10.5109/7183356
Susantoro, T.M., Saepuloh, A., Agustin, F., Wikantika, K., Harsolumakso, A.H., 2020. Clay mineral alteration in oil and gas fields: integrated analyses of surface expression, soil spectra, and X-ray diffraction data. Canadian Journal of Remote Sensing 46, 237–251. https://doi.org/10.1080/07038992.2020.1771174
Susantoro, T.M., Suliantara, Harto, A.B., Setiawan, H.L., Nugroho, G., Candra, D.S., Jayati, A., Sulma, S., Khomarudin, M.R., Arief, R., Maryanto, A., Hestrio, Y.F., Kurdianto, 2023a. The Potential of Remote Sensing Data for Oil And Gas Exploration in Indonesia: a Review. Scientific Contributions Oil and Gas 46, 29–43. https://doi.org/10.29017/SCOG.46.1.1346
Susantoro, T.M., Suliantara, S., Setiawan, H.L., Wikantika, K., 2023b. Study of earth surface morphological anomalies based on Landsat OLI 8 data and soil grain size in oil and gas field in undulating morphology, in: The 9th International Seminar on Aerospace Science and Technology (ISAST 2022). AIP Publishing, Jakarta, Indonesia, pp. 1–10. https://doi.org/10.1063/5.0181459
Susantoro, T.M., Wikantika, K., Harto, A.B., Suwardi, D., 2019. Monitoring sugarcane growth phases based on satellite image analysis (A case study in indramayu and its surrounding, West Java, Indonesia). HAYATI Journal of Biosciences 26, 117–128. https://doi.org/10.4308/hjb.26.3.117
Susantoro, T.M., Wikantika, K., Saepuloh, A., Harsolumakso, A.H., 2018. Selection of vegetation indices for mapping the sugarcane condition around the oil and gas field of North West Java Basin, Indonesia. {IOP} Conference Series: Earth and Environmental Science 149, 12001. https://doi.org/10.1088/1755-1315/149/1/012001
Van der Meer, F., Dijk, P., Kroonenberg, S., Hong, Y., Lang, H., 2000. Hyperspectral Hydrocarbon Microseepage Detection and Monitoring: Potentials and Limitations, in: The 2nd EARSeL Workshop on Imaging Spectroscopy, 11-13 July 2000. ITC, Enschede, The Netherlands., pp. 1–9.
Van Der Meer, F., Van Dijk, P., van der Werff, H.M.A., Hong, Y., 2002. Remote sensing and petroleum seepage: a review and case study. Terra Nova 14, 1–17. https://doi.org/10.1046/j.1365-3121.2002.00390.x
Van der Werff, H.M.A., Noomen, M.F., Van Der Meijde, M., van der Meer, F., 2007. Remote sensing of onshore hydrocarbon seepage: Problems and solutions, in: Teeuw, R.M. (Ed.), Mapping Hazardous Terrain Using Remote Sensing. London Geology Society, London, pp. 125–133. https://doi.org/10.1144/SP283.11
Viscarra Rossel, R.A., Bui, E.N., De Caritat, P., McKenzie, N.J., 2010. Mapping iron oxides and the color of Australian soil using visible-near-infrared reflectance spectra. Journal of Geophysical Research: Earth Surface 115, 1–13. https://doi.org/10.1029/2009JF001645
DOI: https://doi.org/10.29017/SCOG.47.3.1634
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