目的建立积雪草提取物的薄层色谱法(thin-layer chromatography,TLC)鉴别方法和高效液相色谱定量方法,并结合一测多评法(quantitative analysis of multi-components by single marker,QAMS)实现积雪草苷、积雪草苷B和羟基积雪草苷的定...目的建立积雪草提取物的薄层色谱法(thin-layer chromatography,TLC)鉴别方法和高效液相色谱定量方法,并结合一测多评法(quantitative analysis of multi-components by single marker,QAMS)实现积雪草苷、积雪草苷B和羟基积雪草苷的定量测定。方法首先采用TLC对积雪草提取物进行定性鉴别,确保样品的真实性;其次采用高效液相色谱法进行含量测定,流动相分别为2 mmol/Lβ-环糊精溶液和乙腈,检测波长为205 nm。以羟基积雪草苷为参照物,计算其他两种物质的相对校正因子,并将测定含量与外标法测定结果进行比较。结果3种成分在10~500 mg/L范围内线性关系良好,不同浓度水平的加标回收率范围为87.0%~108.2%,相对标准偏差为3.1%~5.2%,方法具有良好的精密度、重复性和稳定性。QAMS与外标法测定积雪草提取物中3种特征性成分的含量一致性良好。结论TLC鉴别方法结合QAMS方法实现定性定量检测,能够对积雪草提取物的质量控制提供技术支持。展开更多
目的建立龙胆泻肝片中黄芩的薄层色谱(thin-layer chromatography,TLC)鉴别方法、一测多评法(quantitative analysis of multi-components by single marker,QAMS)和显微鉴别方法,评价龙胆泻肝片中黄芩的质量。方法采用QAMS测定龙胆泻...目的建立龙胆泻肝片中黄芩的薄层色谱(thin-layer chromatography,TLC)鉴别方法、一测多评法(quantitative analysis of multi-components by single marker,QAMS)和显微鉴别方法,评价龙胆泻肝片中黄芩的质量。方法采用QAMS测定龙胆泻肝片中黄芩的黄芩苷、汉黄芩苷、黄芩素、汉黄芩素4种黄酮类成分的含量;采用TLC鉴别龙胆泻肝片中黄芩、黄芩苷、黄芩素、汉黄芩素。参照《中华人民共和国药典》(2020年版)显微鉴别法对龙胆泻肝片粉末进行鉴别。结果以黄芩苷为内参物,汉黄芩苷、黄芩素、汉黄芩素的相对校正因子分别为0.792、0.598、0.518,22批次龙胆泻肝片样品QAMS与外标法的含量测定结果无显著性差异;建立的龙胆泻肝片中黄芩、黄芩苷、黄芩素、汉黄芩素的TLC鉴别方法专属性强;龙胆泻肝片粉末中可观测到黄芩的显微特征韧皮纤维。结论建立的TLC鉴别方法、QAMS和显微鉴别方法可为龙胆泻肝片中黄芩的质量控制和评价提供参考。展开更多
Aiming at the problem that the data-driven automatic correlation methods which are difficult to adapt to the automatic correlation of oil-bearing strata with large changes in lateral sedimentary facies and strata thic...Aiming at the problem that the data-driven automatic correlation methods which are difficult to adapt to the automatic correlation of oil-bearing strata with large changes in lateral sedimentary facies and strata thickness,an intelligent automatic correlation method of oil-bearing strata based on pattern constraints is formed.We propose to introduce knowledge-driven in automatic correlation of oil-bearing strata,constraining the correlation process by stratigraphic sedimentary patterns and improving the similarity measuring machine and conditional constraint dynamic time warping algorithm to automate the correlation of marker layers and the interfaces of each stratum.The application in Shishen 100 block in the Shinan Oilfield of the Bohai Bay Basin shows that the coincidence rate of the marker layers identified by this method is over 95.00%,and the average coincidence rate of identified oil-bearing strata reaches 90.02% compared to artificial correlation results,which is about 17 percentage points higher than that of the existing automatic correlation methods.The accuracy of the automatic correlation of oil-bearing strata has been effectively improved.展开更多
During the development phase horizontal wells are very efficient way to improve the production in the deep coal bed methane. The 8# coal seam in the XX block on the eastern edge of the Ordos Basin has challenges such ...During the development phase horizontal wells are very efficient way to improve the production in the deep coal bed methane. The 8# coal seam in the XX block on the eastern edge of the Ordos Basin has challenges such as deep burial depth (>2000 m), thin coal sweet spot (3 m), and significant short-distance structural fluctuations. The challenges caused a high risk of missing targets and running out of the target layers, as well as difficulties in cementing and completion due to uneven well trajectories. To address these challenges, this paper focuses on solving the issues through detailed precise geological modeling, optimized trajectory design, and accurate seismic geology Steerable Drilling. 1) Based on reasonable velocity field construction and Time-Depth transformation, a precise directional model is constructed using the layer-by-layer approximation principle with reference to marker layers, improving the accuracy of the target spot and avoiding premature or delayed entry into the target;2) Based on a precise geological model, the dip angle of the strata ahead and the development of sweet spots are clearly defined, enabling optimized trajectory design for horizontal wells;3) Using “1 + N” dynamic modeling to update the geological model in real-time during the drilling process, and actively guide the drill bit through the horizontal segment smoothly by using multi-information judgment of the drill bit position. The actual drilling of 80 completed horizontal wells in this area show: That this approach effectively ensures the smooth trajectory and high-quality drilling rate of the horizontal well in the coal seam, providing a basis for subsequent hydraulic fracturing and increasing single-well production. At the same time, it has certain potential value and significance for similar coalbed methane developments under similar geological conditions.展开更多
文摘目的建立积雪草提取物的薄层色谱法(thin-layer chromatography,TLC)鉴别方法和高效液相色谱定量方法,并结合一测多评法(quantitative analysis of multi-components by single marker,QAMS)实现积雪草苷、积雪草苷B和羟基积雪草苷的定量测定。方法首先采用TLC对积雪草提取物进行定性鉴别,确保样品的真实性;其次采用高效液相色谱法进行含量测定,流动相分别为2 mmol/Lβ-环糊精溶液和乙腈,检测波长为205 nm。以羟基积雪草苷为参照物,计算其他两种物质的相对校正因子,并将测定含量与外标法测定结果进行比较。结果3种成分在10~500 mg/L范围内线性关系良好,不同浓度水平的加标回收率范围为87.0%~108.2%,相对标准偏差为3.1%~5.2%,方法具有良好的精密度、重复性和稳定性。QAMS与外标法测定积雪草提取物中3种特征性成分的含量一致性良好。结论TLC鉴别方法结合QAMS方法实现定性定量检测,能够对积雪草提取物的质量控制提供技术支持。
文摘目的建立龙胆泻肝片中黄芩的薄层色谱(thin-layer chromatography,TLC)鉴别方法、一测多评法(quantitative analysis of multi-components by single marker,QAMS)和显微鉴别方法,评价龙胆泻肝片中黄芩的质量。方法采用QAMS测定龙胆泻肝片中黄芩的黄芩苷、汉黄芩苷、黄芩素、汉黄芩素4种黄酮类成分的含量;采用TLC鉴别龙胆泻肝片中黄芩、黄芩苷、黄芩素、汉黄芩素。参照《中华人民共和国药典》(2020年版)显微鉴别法对龙胆泻肝片粉末进行鉴别。结果以黄芩苷为内参物,汉黄芩苷、黄芩素、汉黄芩素的相对校正因子分别为0.792、0.598、0.518,22批次龙胆泻肝片样品QAMS与外标法的含量测定结果无显著性差异;建立的龙胆泻肝片中黄芩、黄芩苷、黄芩素、汉黄芩素的TLC鉴别方法专属性强;龙胆泻肝片粉末中可观测到黄芩的显微特征韧皮纤维。结论建立的TLC鉴别方法、QAMS和显微鉴别方法可为龙胆泻肝片中黄芩的质量控制和评价提供参考。
基金Supported by the National Natural Science Foundation of China(42272110)CNPC-China University of Petroleum(Beijing)Strategic Cooperation Project(ZLZX2020-02).
文摘Aiming at the problem that the data-driven automatic correlation methods which are difficult to adapt to the automatic correlation of oil-bearing strata with large changes in lateral sedimentary facies and strata thickness,an intelligent automatic correlation method of oil-bearing strata based on pattern constraints is formed.We propose to introduce knowledge-driven in automatic correlation of oil-bearing strata,constraining the correlation process by stratigraphic sedimentary patterns and improving the similarity measuring machine and conditional constraint dynamic time warping algorithm to automate the correlation of marker layers and the interfaces of each stratum.The application in Shishen 100 block in the Shinan Oilfield of the Bohai Bay Basin shows that the coincidence rate of the marker layers identified by this method is over 95.00%,and the average coincidence rate of identified oil-bearing strata reaches 90.02% compared to artificial correlation results,which is about 17 percentage points higher than that of the existing automatic correlation methods.The accuracy of the automatic correlation of oil-bearing strata has been effectively improved.
文摘During the development phase horizontal wells are very efficient way to improve the production in the deep coal bed methane. The 8# coal seam in the XX block on the eastern edge of the Ordos Basin has challenges such as deep burial depth (>2000 m), thin coal sweet spot (3 m), and significant short-distance structural fluctuations. The challenges caused a high risk of missing targets and running out of the target layers, as well as difficulties in cementing and completion due to uneven well trajectories. To address these challenges, this paper focuses on solving the issues through detailed precise geological modeling, optimized trajectory design, and accurate seismic geology Steerable Drilling. 1) Based on reasonable velocity field construction and Time-Depth transformation, a precise directional model is constructed using the layer-by-layer approximation principle with reference to marker layers, improving the accuracy of the target spot and avoiding premature or delayed entry into the target;2) Based on a precise geological model, the dip angle of the strata ahead and the development of sweet spots are clearly defined, enabling optimized trajectory design for horizontal wells;3) Using “1 + N” dynamic modeling to update the geological model in real-time during the drilling process, and actively guide the drill bit through the horizontal segment smoothly by using multi-information judgment of the drill bit position. The actual drilling of 80 completed horizontal wells in this area show: That this approach effectively ensures the smooth trajectory and high-quality drilling rate of the horizontal well in the coal seam, providing a basis for subsequent hydraulic fracturing and increasing single-well production. At the same time, it has certain potential value and significance for similar coalbed methane developments under similar geological conditions.
