Series-2 (Jan. – Feb. 2023)Jan. – Feb. 2023 Issue Statistics
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| Paper Type | : | Research Paper |
| Title | : | Gold Mineralization Of The Grindulu River, Ngreco Region And Surroundings, Tegalombo District, Pacitan Regency, East Java Province, Indonesia |
| Country | : | Indonesia |
| Authors | : | Heru Sigit Purwanto || Agus Harjanto || Edy Winarno || Fahreza Putra |
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: | 10.9790/0990-1101020112  |
Abstract: The mineralization of gold and other ore minerals in the quartz vein was found in the Grindulu River area and its surroundings. The research area is in Grindulu River and its surrounding, Pacitan Regency, East Java. Grindulu River and its vicinity was the location for the early stage of the research program on mineralization in Pacitan area. This area has good mineralization, and according to previous studies, is a low-sulfidation area with the presence of pyrite, chalcopyrite, and sphalerite. The presence of chalcopyrite, pyrite, and sphalerite minerals has suggested that instead of low sulfidation, based on the results of ICP-MS analysis there are Cu, Ag, Pb, Zn, and Au elements, the area zone state supported by other data such as quartz breccia, banded quartz, and shear as a control structure......
Keywords: Mineralization, alteration, sulfidation, sheared
[1]. Bateman, A.M., 1981., Mineral Deposit 3rd edition, Jhon Wiley and Sons, New York.
[2]. Boyle,R.W., 1970. The Soure of Metal and Gangue Elements in Hydrothermal Deposits. International Union Geology Science. A.2. Stuttgart.
[3]. Bunde, A. & S. Havlin.,1994. Fractals in Science, Springer Verlag, 298 hal.
[4]. Corbett, G. J. dan Terry Leach. 1997. Southwest Pacific Rim Gold-Copper Systems: Structure, Alteration, and Mineralization. A workshop presented for the Society ofEconomicGeologist, Townsville.
[5]. Craw.D., Windle,S.J and Angus,P.V. 1999. Gold mineralization without quartz veins in a ductile-brittle shear zone, Macraes Mine, Otago Schist, New Zaeland. Mineralium Deposita 34 : 382-394
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| Paper Type | : | Research Paper |
| Title | : | Development of Computer Program for Hydrocarbon Reservoir Property Evaluation |
| Country | : | |
| Authors | : | Enikanselu, P.A || Abe, S. J || Abiola, O |
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: | 10.9790/0990-1101021318 |
Abstract: A reliable, interactive and efficient computer program is developed for plotting digital well data and evaluation of reservoir rock properties. The program (GeoFutaLog) is meant to compliment its popular, standard but scarce and expensive counterpart. The code was written with python programming language, an aspect of machine learning. This is because of its effectiveness and popularity within the Geoscience and petrophysics domains. The task involves coding and plotting of field data with depth and estimation of petrophysical parameters for reservoir evaluation. Some......
Keywords: Software, Python, Reservoir, Petrophysical parameter, Histogram
[1]. Abe, S. J. and Olowokere, M. T. (2013). Reservoir Characterization and Formation Evaluation of some parts of Niger Delta using 3D Seismic and Well log data. Research Journal in Engineering and Applied Sciences 2(4) 304-307
[2]. Cristhian, A. (2020). A Machine Learning Approach to Petrophysical Interpretation Using Random Forest Regression in Python (Academic Example). Technology vector design
[3]. Enikanselu, P.A. and A. Adekanle, A. (2018). A Fortran Programme for Computing Formation (Connate). American-Eurasian Journal of Scientific Research 3 (2): 172-177.
[4]. Mohammed, O.A.A (2021). Machine learning based shale volume prediction from the Norwegian North Sea. Umpublished MSc thesis from Faculty of Science and Technology University of Stavanger.
[5]. Saarela, M., Jauhiainen, S., (2021). Comparison of feature importance measures as explanations for classification models: SN Appl. Sci. v. 3, p. 272.
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| Paper Type | : | Research Paper |
| Title | : | Estimation of Basin Model and Magnetic Source Boundaries in Brass Area and Environs from Aeromagnetic Data |
| Country | : | Nigeria |
| Authors | : | Ibe Stephen O. || Ombu Righteous E. || Egwuonwu Gabriel N. || Iduma Kelvin U. |
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: | 10.9790/0990-1101021931 |
Abstract: Brass Area and environs, Niger Delta Nigeria were investigated with the aim of delineating the structures and sediment thickness favourable for hydrocarbon formation. The study area is bounded by longitudes 6˚00ˊ00˝E and 6˚30ˊ00˝E and latitudes 4˚00ˊ00˝ and 4˚30ˊ00˝N with area of about 3,025 𝑘𝑚2. Aeromagnetic data covering the area was processed and enhanced using polynomial fitting and source parameter imaging techniques. The results suggest that the sediment thickness within the area ranges from <2.2 km to >9.6 km and the depth to the magnetic......
Keywords: Lineament Density, Magnetic Basement, Sediment Thickness,Structural Traps, Subsurface Deformation,
[1]. Anyanwu G, Mamah L (2013) Structural interpretation of Abakaliki-Ugep; using airborne magnetic and Landsat thematic mapper (TM) data. Journal of Natural Sciences Research 3, 137-148.
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[3]. Chukwu GU, Ijeh BI, Olunwa KC (2013) Application of landsat imagery for land use/land cover analyses in the Afikpo Sub-Basin of Nigeria. International Research Journal of Geology and Mining 3, 67 - 81.
[4]. Ekweozor CM, Daukoru EM (1994) Northern Delta depobelt portion of the Akata-Agbada (1) Petroleum system, Niger Delta, Nigeria. In The petroleum system from source to trap (Magom LB, Dow WG eds.), American Association of Petroleum Geologists, pp. 599 - 614. https://doi.org/10.1306/M60585C36.
[5]. Enwenode O (2014). Sedimentation and Oil/Gas Formation. In Seismic Data Analysis Techniques in Hydrocarbon Exploration. Elsevier, pp. 3 -16. https://www.sciencedirect.com/book/9780124200234.https://doi.org/10.1016/C2013-0-09969-0.
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| Paper Type | : | Research Paper |
| Title | : | A Comparative Statistical Study of the Geochemistry of Geothermal Fields in Peninsular and Extra-Peninsular India |
| Country | : | India |
| Authors | : | Amitabha Roy |
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: | 10.9790/0990-1101023244 |
Abstract: The present research is aimed at statistically analyzing two data sets drawn from two distinct geologic-tectonic regimes having two distinct geological and tectonic settings - one very tectonically active Alpine-Himalayan mountain chains of Extra-Peninsular and the other very stable landmass or Peninsular shield of India. The main thrust is to arrive at similarity or dissimilarity, if any, in their thermochemistry by applying the robust exploratory factor analysis. The results show that the thermal springs of Extra-Peninsular India are deep-seated hot acidic waters in contrast to shallowery......
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[2]. A.Roy, GTHERMIS – an Information Management Analysis System for Geothermal data in India. A Field-season R&D program (1994)
[3]. A.Roy,,1984. Computer based factor model to elucidate secondary trace element distribution patterns around the sargipalli lead-zinc sulphide deposit , Sundergarh district, Orissa (India)
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