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RISS 인기검색어
- 검색키워드
- 저자 : Akram Javed (검색결과 3 건)
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Delineation of hydrocarbon potential zones in Masila oil field, Yemen
Mohammed Sultan Alshayef,Akram Javed,Arafat Mohammed Bin Mohammed 대한공간정보학회 2019 Spatial Information Research Vol.27 No.2
Hydrocarbon is a powerful contributor to development. The present study makes an attempt to use remote sensing data coupled with geophysical and geological data that has been integrated into Arc GIS to delineate favorable zones for hydrocarbon potential in the Masila oil field. Lineaments have been extracted using satellite data and geological data by their surface spectral signatures, whereas the subsurface lineaments have been inferred using geophysical data. Digital image processing of satellite image using ERDAS IMAGINE-14 have been carried out, sequentially using various techniques (Sobal, Laplacian filters and band composite), lineament digitized as layers, layers were converted to raster (grid) format, classified, analyzed, integrated and visualized using Arc GIS. The resulting lineaments obtained from each data, suggests that most of the lineaments are trended in NW–SE which coincides and are in conformity with the existing trend of the study area. The output potential map was classified into five zones of hydrocarbon potentiality, namely very high, high, moderate, low and very low potential zones. The hydrocarbon evaluation results of the present study reveal that 6.9% of the total area falls under very high potential, 14.2% highly potential, 21.3% moderately potential, 25.7% low potential and 31.9% falls under very low potential zones. The zones were verified with oil fields and existing wells in the area which shows a positive correlation. Such studies are significant for hydrocarbon potential resource planning and management. Further, the methodology used for this study can be, replicated in another similar geological setup elsewhere for mapping hydrocarbon potential zones.
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Siyal Sajid Hussain,Javed Muhammad Sufyan,Ahmad Awais,Sajjad Muhammad,Batool Saima,Khan Abdul Jabbar,Akram Shakeel,Alothman Asma A.,Alshgari Razan A.,Najam Tayyaba 한국물리학회 2021 Current Applied Physics Vol.31 No.-
The development of smart structured cathode materials for supercapacitors (SCs) has sparked tremendous interest. However, the appropriate design to achieve high capacitance and energy density-based cathode materials remains a major problem for energy storage systems. This article describes the effective synthesis of selfsupported 3D micro-flowers composed of ultrathin nanowires array of Co3O4 on Ni foam (NF) using hydrothermal conditions (Co3O4@NF). The mesoporous Co3O4@NF with a high surface area, providing a rich active state for the Faraday redox reaction and increasing the diffusion rate of the electrolyte ions. The optimized Co3O4@NF-16h electrode exhibited supreme electrochemical performance by delivering a high specific capacitance of 1878, (1127) and 1200 (720 C g 1) F g 1 at 1.0 and 20 A g 1, respectively. The Co3O4@NF electrode retained good capacitance stability of 91% over 10000 cycles at 20 A g 1 with excellent rate-performance of 67% at 20 folded high current values. The obtained results for the Co3O4@NF electrode are presented the enhanced pseudocapacitive performance, indicating the substantial potential for high-performance supercapacitor applications.
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Aman Mohammad Adil,Yunus Ali P.,Javed Akram 대한공간정보학회 2021 Spatial Information Research Vol.29 No.2
The fluvial knickzones, a geomorphic marker of erosion, climate, and tectonics has received much interest in the topographic developmental studies in the recent past. Nevertheless, examining their spatial distribution in passive margins has not been well documented especially for the drainage basins in the humid tropical climatic systems. Here in this study, we presented the spatial distribution of knickzones in the three river basins of Western Ghats, India, namely Chaliyar, Pambar and Muthirapuzha basins. Because the conventional method of knickzone identification using topographic maps or field readings is laborious, we employed a 30 m digital elevation model and Topo- ToolBox, a Matlab based tool to extract the knickpoints in the study area. A total of 356 knickpoints were identified by analyzing * 2670 km of river network, and the knickzone frequency is estimated as 0.13 km-1. The average height of the knickzones is found to be 83 m, and majority of the knickpoints are located closest to the headwaters. Although we noticed that the streams underlying metamorphic lithology tends to have the highest knickzone frequency, but it can be also attributed to the fact that metamorphic rocks are the most dominant rock type in the study area. The high amount of knickzone frequency in the study area thus may be the result of coupled climatic control caused by heavy summer rainfall, bed rock erosion triggered by high grade metamorphism, and also the local base level changes as indicated by the clustered knickpoints in the stream heads.
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