Series-1 Sep. – Oct. 2022 Issue Statistics
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Abstract: Differentiation between source and reservoir rocks requires the presence of many geological, petrophysical, and geochemical data. The scope of this research is to evaluate a new approach to distinct source rocks from reservoir rocks by calculating the heat that results from the decaying of radioactive minerals in the rocks. Radiogenic heat production (RHP) values were calculated in ten wells penetrating the studied Bahariya formation in Tut oil field, Northwestern Desert, Egypt. The mean value of (RHP) is calculated as 0.88 μW/ m3, while the standard deviation value is 0.32 μW/m3.The zones with average values of more than (0.88) are referred to be the ones that have higher amounts of total organic carbon materials (TOC) . The RHP value ranging from an average value from (0.88 μW/ m3) to the sum of this value plus one standard deviation (1.21) is recorded in low shale content zones which are considered reservoir rocks. The RHP values of more than 1.21 were recorded related to the zones of a moderate and high volume of shale content, which can be considered source rocks.
[1]. Al-Alfy, I.M., Nabih, M.A., 2013. 3D slicing of radiogenic heat production in Bahariya Formation, Tut oil field, North-Western Desert, Egypt. Appl. Radiat. Isot. 73, 68–73. https://doi.org/10.1016/j.apradiso.2012.11.019.
[2]. Alshakhs, M., Rezaee, R., 2017. A new method to estimate total organic carbon (TOC) content, an example from Goldwyer Shale Formation, the Canning Basin. Open Petrol. Eng. J. 10, 118–133. https://doi.org/10.2174/1874834101710010118.
[3]. Alsharhan, A.S., Abd El-Gawad, E.A., 2008. Geochemical characterization of potential Jurassic/Cretaceous source rocks in the Shushan Basin, Northwestern Desert,Egypt. Journal of Petroleum Geology 31, 191–212.
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[5]. Bucker, C, and Rybach, L, 1996, A simple method to determine heatproduction from gamma-ray logs:Marine and Petroleum Geology, 13, 373–375. doi:10.1016/0264-8172(95)00089-5.
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Abstract: The sandstone reservoir quality and productivity of Cretaceous Bashijiqike Formation in Kelasu structural belt of Kuqa Depression in Tarim Basin are obviously controlled by stress. Through the multi-scale characterization of field outcrops, logging, cores and microcosms, it is clear that the Cretaceous reservoir was controlled by the regional and local stress fields caused by the uplift in the south Tianshan mountain. Combined with numerical simulation, the influence of tectonic stress field on reservoir is discussed. The results show that there are three main effects of canopy, stress meso and strike slip in the process of dual tectonic stress field. The canopy effect and stress surface effect have constructive effects on the reservoir, forming favorable combination of reservoir and cap, slowing down vertical.....
Key Word: Cretaceous; Bashijqike Formation; Kelasu structural belt; Reservoir quality; Characteristic of stress field..
[1]. Zhou Peng, Tang Yangang, Ma Yujie, et al. Application of elastic displacement theory for effective fracture prediction in ultra-deep reservoir:Taking Keshen 2 and 8 Blocks as examples[J]. Fault-Block Oil & Gas Field, 2016,23(1):25-29.
[2]. Zhang Ronghu, Zhang Huiliang, Shou Jianfeng, et al. Geological analysis on reservoir mechanism of the Lower Cretaceous Bashijiqike Formation in Dabei area of the Kuqa Depression[J]. Chinese Journal of Geology(Scientia Geologica Sinica) ,2008,43(3):507-517.
[3]. Chen Ge, Huang Zhibin, Zhang Huiliang, et al.Provenance Analysis of Clastic Rocks in the Cretaceous Bashijiqike Formation at Kuqa Depression[J]. Natural Gas Geoscience, 2012,23(6):1025-1033.
[4]. Wang Zhaoming. Discussion of Ceiling Effect in Foreland Thrust Belt of Kuqa Depression[J]. Natural Gas Geoscience, 2013,24(4):671-676.
[5]. Zhuo Qingong, Li Yong, Song Yan, et al. Evolution of Paleogene saline deposits and effectiveness of traps in Kelasu tectonic zone,Kuqa Depression,Tarim Basin[J]. Petroleum Geology & Experiment, 2013,35(1):42-47.
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Abstract: Uttarakhand is the state that has experienced the largest increase in total forest fire incidents in India from 2016 to 2022. This study uses remote sensing-based time series analysis to examine the causes and determine the impetus for the drastic rise in the number of wildfire events in the state and analyze further implications of this predicament. Satellites operated by NASA: MODIS(instrument on the EOS AM-1 and EOS PM-1 satellites) and SNPP-VIIRS(375-m resolution) were used for the purpose of this investigation. In addition to the typical causes such as rising temperatures and lack of atmospheric moisture, the anthropogenic and other miscellaneous factors are expounded in context to specific causes of the reported incidents in 2021 and 2022. The research provides crucial spatial.....
Keywords: Forest fires, MODIS, SNPP, anthropogenic causes for forest fires, Wildlife, Flora, Fauna.
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[4]. Kri, P. Hari, and C. Sudhakar Reddy. "Assessment of increasing threat of forest f in Rajasthan, India using multi-temporal remote sensing data (2005-2010)." Current Science, vol. 102, no. 9, 2012, pp. 1288-1297. Current Science Association, https://www.jstor.org/stable/44721845. Accessed 20 May 2022.
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