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地质学   2篇
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Nuclear Magnetic Resonance (NMR) logging provides priceless information about hydrocarbon bearing intervals such as free fluid porosity and permeability. This study focuses on using geostatistics from NMR logging instruments at high depths of investigation to enhance vertical resolution for better understanding of reservoirs. In this study, a NMR log was used such that half of its midpoint data was used for geostatistical model construction using an ordinary kriging technique and the rest of the data points were used for assessing the performance of the constructed model. This strategy enhances the resolution of NMR logging by twofold. Results indicated that the correlation coefficient between measured and predicted permeability and free fluid porosity is equal to 0.976 and 0.970, respectively. This means that geostatistical modeling is capable of enhancing the vertical resolution of NMR logging. This study was successfully applied to carbonate reservoir rocks of the South Pars Gas Field.  相似文献   
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The heavy metal burden of Akkulam–Veli Lake, a shallow lake in southern part of India, is investigated through the analysis of surface sediments. The average concentrations of heavy metals such as lead, chromium, nickel, copper, zinc, cobalt, iron, and manganese were determined at selected stations. The degree of contamination of selected stations was evaluated using indices such as enrichment factor, contamination factor, and pollution load index and compared with sediment quality guidelines. Statistical analysis is carried out by correlation analysis and hierarchical clustering analysis to identify relatively homogeneous groups of cases. The results of this study indicate severe contamination at most of the stations selected. The degree of contamination of the lake could be rated as ‘moderate’ to ‘strong’. The average pollution load index shows progressive deterioration of sediment quality indicating ‘risk’ on the aquatic environment and ecosystems of the lake.  相似文献   
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