The mud shale of Qingshankou Formation in Songliao Basin is the main rock source and contains rich shale oil resources. The successful development of shale oil depends on evaluating and optimizing the “sweet spots”....The mud shale of Qingshankou Formation in Songliao Basin is the main rock source and contains rich shale oil resources. The successful development of shale oil depends on evaluating and optimizing the “sweet spots”. To accurately identify and optimize the favorable sweet spots of shale oil in Qingshankou Formation, Songliao Basin, the original logging data were preprocessed in this paper. Then the thin mud shale interlayer of Qingshankou Formation was identified effectively by using the processed logging data. Based on the artificial neural network method, the mineral content of mud shale in Qingshankou Formation was predicted. The lithofacies were identified according to the mineral and TOC content. Finally, a three-dimensional (3-D) model of total organic carbon (TOC), vitrinite reflectance (Ro), mineral content, and rock of Qingshankou Formation in Songliao Basin was established to evaluate and predict the favorable sweet spots of shale oil in the study area. The results show that there are a lot of calcareous and siliceous thin interlayers in Qingshankou Formation, and TOC content is generally between 2% and 3%. Ro is the highest in Gulong sag, followed by Sanzhao sag. The lithofacies mainly consists of felsic shale and mixed shale, mainly in the first member of Qingshankou Formation. Comprehensive analysis shows that shale oil development potential is enormous in the eastern part of Sanzhao Sag and the northern part of Gulong Sag.展开更多
Objective:To investigate the differences in small intestinal toxicity and taxonomic composition,diversity,and functional pathways of gut microbiome and metabolome after different radiotherapies in mouse colorectal can...Objective:To investigate the differences in small intestinal toxicity and taxonomic composition,diversity,and functional pathways of gut microbiome and metabolome after different radiotherapies in mouse colorectal cancer(CRC)model.Methods:Azoxymethane/dextran sodium sulfate(AOM/DSS)-induced mouse CRC model was treated with single pulse FLASH-RT(dose rate 100 Gy/s)or CONV-RT(dose rate 2 Gy/min)at whole abdomen.At 12 d after radiotherapy,sections of small intestinal tract tissue were dissected for hematoxylin and eosin(HE)staining and the fresh feces were collected for 16S ribosomal RNA(rRNA)microbiome sequencing and liquid chromatography and mass spectrometry(LC-MS)metabolomics sequencing to assess changes in the gut microbiota and metabolites.Microbial high-throughput 16S rRNA data was analyzed with QIIME2 and LEfSe softwares.ProteoWizard,XCMS and Ropls softwares were used for LC-MS analysis.Results:HE staining showed that FLASH-RT maintained small intestinal integrity and reduced the radiotherapyinduced injury.Sequencing analysis of gut fecal microbiome showed that phylum Bacteroidetes and genera Prevotella and Lactobacillus of microbial community were increased after FLASH-RT.Metabolomics sequencing analysis revealed that the metabolites after FLASH-RT were enriched in amino acid metabolism,while cholesterol metabolism was top enriched after CONV-RT.Conclusions:FLASH-RT significantly mitigates the small intestine tissue damage compared with CONV-RT.FLASHRT and CONV-RT have different impact on gut microbiota and its metabolites.Our results provide a theoretical basis for the early evaluation,prediction and individualized treatment of the irradiation effect after novel FLASHRT on tumors through the evaluation of intestinal microbiota and metabolites.展开更多
文摘The mud shale of Qingshankou Formation in Songliao Basin is the main rock source and contains rich shale oil resources. The successful development of shale oil depends on evaluating and optimizing the “sweet spots”. To accurately identify and optimize the favorable sweet spots of shale oil in Qingshankou Formation, Songliao Basin, the original logging data were preprocessed in this paper. Then the thin mud shale interlayer of Qingshankou Formation was identified effectively by using the processed logging data. Based on the artificial neural network method, the mineral content of mud shale in Qingshankou Formation was predicted. The lithofacies were identified according to the mineral and TOC content. Finally, a three-dimensional (3-D) model of total organic carbon (TOC), vitrinite reflectance (Ro), mineral content, and rock of Qingshankou Formation in Songliao Basin was established to evaluate and predict the favorable sweet spots of shale oil in the study area. The results show that there are a lot of calcareous and siliceous thin interlayers in Qingshankou Formation, and TOC content is generally between 2% and 3%. Ro is the highest in Gulong sag, followed by Sanzhao sag. The lithofacies mainly consists of felsic shale and mixed shale, mainly in the first member of Qingshankou Formation. Comprehensive analysis shows that shale oil development potential is enormous in the eastern part of Sanzhao Sag and the northern part of Gulong Sag.
基金The study was supported by the Project from State Key Laboratory of Radiation Medicine and Protection(GZK1202221)the Nuclear Technology Application Excellent Experts Program of the Second Affiliated Hospital of Soochow University(XKTJ-HRC2021002),China.
文摘Objective:To investigate the differences in small intestinal toxicity and taxonomic composition,diversity,and functional pathways of gut microbiome and metabolome after different radiotherapies in mouse colorectal cancer(CRC)model.Methods:Azoxymethane/dextran sodium sulfate(AOM/DSS)-induced mouse CRC model was treated with single pulse FLASH-RT(dose rate 100 Gy/s)or CONV-RT(dose rate 2 Gy/min)at whole abdomen.At 12 d after radiotherapy,sections of small intestinal tract tissue were dissected for hematoxylin and eosin(HE)staining and the fresh feces were collected for 16S ribosomal RNA(rRNA)microbiome sequencing and liquid chromatography and mass spectrometry(LC-MS)metabolomics sequencing to assess changes in the gut microbiota and metabolites.Microbial high-throughput 16S rRNA data was analyzed with QIIME2 and LEfSe softwares.ProteoWizard,XCMS and Ropls softwares were used for LC-MS analysis.Results:HE staining showed that FLASH-RT maintained small intestinal integrity and reduced the radiotherapyinduced injury.Sequencing analysis of gut fecal microbiome showed that phylum Bacteroidetes and genera Prevotella and Lactobacillus of microbial community were increased after FLASH-RT.Metabolomics sequencing analysis revealed that the metabolites after FLASH-RT were enriched in amino acid metabolism,while cholesterol metabolism was top enriched after CONV-RT.Conclusions:FLASH-RT significantly mitigates the small intestine tissue damage compared with CONV-RT.FLASHRT and CONV-RT have different impact on gut microbiota and its metabolites.Our results provide a theoretical basis for the early evaluation,prediction and individualized treatment of the irradiation effect after novel FLASHRT on tumors through the evaluation of intestinal microbiota and metabolites.
