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| 1 | Lacustrine Shale Oil Resource Potential of Es3L Sub-Member of Bonan Sag, Bohai Bay Basin, Eastern China显示文摘Following shale gas, shale oil has become another highlight in unconventional hydrocarbon exploration and development. A large amount of shale oil has been produced from a host of marine shale in North America in recent years. In China, lacustrine shale, as the main source rock of conventional oil and gas, should also have abundant oil retained in place. In this study, geochemical and geologic characteristics of lacustrine shale from Es_3~L sub-member in Bonan sag were characterized by using total organic carbon(TOC), Rock-Eval pyrolysis, X-ray diffraction, and ?log R method. The results show that the Es_3~L sub-member shale have TOC contents ranging from 0.5 wt.% to 9.3 wt.%, with an average of 2.9 wt.%. The organic matter is predominantly Type I kerogen, with minor amounts of Type II1 kerogen. The temperature of maximum yield of pyrolysate(Tmax) values ranges from 424 to 447 °C, with an average of 440 °C, and vitrinite reflectance(Ro%) ranges from 0.7% to 0.9%, indicating most of shales are thermally mature. The dominant minerals of Es_3~L shale in Bonan sag are carbonates(including calcite and dolomite), averaging 51.82 wt.%, and the second minerals are clay(mostly are montmorillonite-illite-mixed layer and illite) and quartz, averaging about 18 wt.%. Finally, its shale oil resources were evaluated by using the volumetric method, and the evaluation result shows that the shale oil resource is up to 5.94 billion tons, and mostly Class I resource. Therefore, the exploration of the lacustrine shale oil of Es_3~L in Bonan sag should be strengthened. | Shuangfang Lu Wei Liu Min Wang Linye Zhang Zhentao Wang Guohui Chen Dianshi Xiao Zhandong Li Huiting Hu | 2017 | Journal of Earth Science2017，28，6： | 4 |
| 2 | Applications of molecular fossils in lacustrine stratigraphy显示文摘Biomarkers,or the so-called molecular fossils,are used tentatively in the Eogene lacustrine stratigraphy study in the Jiyang Sub-basin.Notwithstanding the fact that unidentified microfossils or amorphism and acritarchae are widely distributed in lacustrine source rocks,molecular fossils are useful to identify the sources.It is helpful to reconstruct the palaeo-enviroment,palaeo-ecosystem and compartmentalize the stratigraphic sequence by using molecular fossils with which the existence and types of microbes including bacteria,archaea and certain algae can be identified. | WANG Guangli LI Shu WANG Tieguan ZHANG Linye | 2010 | Chinese Journal Of Geochemistry2010，29，1： | 4 |
| 3 | A Timescale Decomposed Threshold Regression Downscaling Approach to Forecasting South China Early Summer Rainfall显示文摘A timescale decomposed threshold regression(TSDTR) downscaling approach to forecasting South China early summer rainfall(SCESR) is described by using long-term observed station rainfall data and NOAA ERSST data. It makes use of two distinct regression downscaling models corresponding to the interannual and interdecadal rainfall variability of SCESR.The two models are developed based on the partial least squares(PLS) regression technique, linking SCESR to SST modes in preceding months on both interannual and interdecadal timescales. Specifically, using the datasets in the calibration period 1915–84, the variability of SCESR and SST are decomposed into interannual and interdecadal components. On the interannual timescale, a threshold PLS regression model is fitted to interannual components of SCESR and March SST patterns by taking account of the modulation of negative and positive phases of the Pacific Decadal Oscillation(PDO). On the interdecadal timescale, a standard PLS regression model is fitted to the relationship between SCESR and preceding November SST patterns. The total rainfall prediction is obtained by the sum of the outputs from both the interannual and interdecadal models. Results show that the TSDTR downscaling approach achieves reasonable skill in predicting the observed rainfall in the validation period 1985–2006, compared to other simpler approaches. This study suggests that the TSDTR approach,considering different interannual SCESR-SST relationships under the modulation of PDO phases, as well as the interdecadal variability of SCESR associated with SST patterns, may provide a new perspective to improve climate predictions. | Linye SONG Wansuo DUAN Yun LI Jiangyu MAO | 2016 | Advances in Atmospheric Sciences2016，33，9： | 2 |
| 4 | A kinetic study of indium leaching from indium-bearing zinc ferrite under microwave heating显示文摘 | Linye Zhang Jiamei Mo Xuanhai Li | 2013 | Metallurgical and Materials Transactions B2013，44，： | 1 |
| 5 | Carbon isotopic study of individual n-alkanes in certain modern organisms显示文摘Simulation experiment was carried out on all kinds of modern organisms significant to oil-gas generation and the C-isotopic values of n-alkanes in different organisms. The distribution characteristics of individual n-alkane isotopes are studied. The experimental results supply important clues in biological provenance of n-alkanes in sedimentary organisms. | Linye Zhang Tieguan Wang Difan Huang Juyuan Li Xiangchen Li Mei Shan Xinzhou Wang | 1999 | Chinese Science Bulletin1999，44，12： | 0 |
| 6 | Correction of global digital elevation models in forested areas using an artificial neural network-based method with the consideration of spatial autocorrelation显示文摘To remove vegetation bias(VB)from the global DEMs(GDEMs),an artificial neural network(ANN)-based method with the consideration of elevation spatial autocorrelation is developed in this paper.Three study sites with different forest types(evergreen,mixed evergreen-deciduous,and deciduous)are employed to evaluate the performance of the proposed model on three popular 30-m GDEMs,including SRTM1,AW3D30,and COPDEM30.Taking LiDAR DTM as the ground truth,the accuracy of the GDEMs before and after VB correction is assessed,as well as two existing GDEMs including MERIT and FABDEM.Results show that all the original GDEMs significantly overestimate the LiDAR DTM in the three forest types,with the largest biases of 21.5 m for SRTM1,26.3 m for AW3D30,and 27.18 m for COPDEM30.Taking data randomly sampled from the corrected area as the training points,the proposed model reduces the mean errors(root mean square errors)of the three GDEMs by 98.8%-99.9%(55.1%-75.8%)in the three forests.When training data have the same forest type as the corrected GDEM but under different local situations,the proposed model lowers the GDEM errors by at least 76.9%(44.1%).Furthermore,our corrected GDEMs consistently outperform the existing GDEMs for the two cases. | Yanyan Li Linye Li Chuanfa Chen Yan Liu | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
| 7 | Separation of lithium and nickel using ionic liquids and tributyl phosphate显示文摘With the vigorous development of the electronics industry,the consumption of lithium continues to increase,and more lithium needs to be mined to meet the development of the industry.The content of lithium in the solution is much higher than that of minerals,but the interference of impurity ions increases the difficulty of extracting lithium ions.Therefore,we prepared an imidazole-based ionic liquid(1-butyl-3-methylImidazolium bis(trifluoromethyl sulfonyl)imide)(IL)for efficient lithium extraction from aqueous solutions by solvent extraction.Using an extraction consisting of 10%IL,85% tributyl phosphate(TBP),and 5% dichloroethane and an organic to aqueous phase ratio(O/A)of 2/1,over 64.23% of Li were extracted,and the extraction rate after five-stage extraction could reach more than 96%.The addition of ammonium ions to the solution inhibited the extraction of Ni,and the separation coefficient between lithium and nickel approached infinity,showing a very perfect separation effect.Fouriertransform infrared spectroscopy and slope methods were used to analyze the changes that occurred during extraction,revealing possible extraction mechanisms.In addition,the LiCl solution generated during the preparation of ionic liquids was mixed with the stripping solution,and the battery-grade lithium carbonate was prepared by Na_(2)CO_(3) precipitation,with a purity of 99.74%.This study provides an efficient and sustainable strategy for recovering lithium from the solution. | Kun Wang Guoquan Zhang Linye Li Yuzhang Li Xiangxin Liao Pu Cheng Mingzhi Luo | 2023 | Chinese Journal of Chemical Engineering2023，63，11： | 0 |
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