This paper introduces horizon control, seismic control, logging control and facies control methods through the application of the least squares fitting of logging curves, seismic inversion and facies-controlled techni...This paper introduces horizon control, seismic control, logging control and facies control methods through the application of the least squares fitting of logging curves, seismic inversion and facies-controlled techniques. Based on the microgeology and thin section analyses, the lithology, lithofacies and periods of the Permian igneous rocks are described in detail. The seismic inversion and facies-controlled techniques were used to find the distribution characteristics of the igneous rocks and the 3D velocity volume. The least squares fitting of the logging curves overcome the problem that the work area is short of density logging data. Through analysis of thin sections, the lithofacies can be classified into eruption airfall subfacies, eruption pyroclastic flow subfacies and eruption facies.展开更多
目的了解新疆高校新生身体形态指标与血压的特征及差异性,分析其关联性,为新疆高校新生高血压防治和干预提供参考依据。方法采用随机抽样对新疆4所高校的1853名18~21岁大学新生进行身体形态、腰围、臀围、血压等指标测量,根据受试者血...目的了解新疆高校新生身体形态指标与血压的特征及差异性,分析其关联性,为新疆高校新生高血压防治和干预提供参考依据。方法采用随机抽样对新疆4所高校的1853名18~21岁大学新生进行身体形态、腰围、臀围、血压等指标测量,根据受试者血压分为正常血压组和血压偏高组,分析不同性别、民族、年龄段新生血压的差异;统计学方法采用χ^(2)检验、Pearson相关性分析、Logistic回归分析及受试者操作特征(receiver operating characteristic,ROC)曲线分析。结果女生的体脂率(percent body fat,PBF)和体脂量高于男生[(24±8)%与(18±7)%,t=-17.95,P<0.01);(18±7)kg与(14±7)kg,t=-4.27,P<0.01],其他指标均低于男生;除体脂率外,汉族学生的身体形态指标均高于少数民族(P值均<0.01)。男生的血压偏高检出率高于女生[51.5%(538/1044)与42.4%(343/809),χ^(2)=15.250,P<0.01];汉族血压偏高检出率高于少数民族[59.4%(372/626)与41.5%(509/1227),χ^(2)=53.503,P<0.01];18~19岁新生的血压偏高检出率高于20~21岁[(51.4%(348/677)与45.3%(533/1176),χ^(2)=6.369,P<0.05)]。不同性别血压偏高组的身体形态指标均>正常血压组;大学新生收缩压与舒张压与身体形态呈现不同程度的相关性,多因素Logistics回归分析结果显示,男生的身体质量指数(body mass index,BMI)、PBF、体脂量、内脏脂肪等级(visceral fat level,VFL)、腰臀比(waist to hip ratio,WHR)和女生的体质量、BMI、体脂量、VFL超标以及女生体表面积(body surface area,BSA)下降都会增加血压偏高的风险;不同身体形态指标对血压偏高的曲线下面积(area under the curve,AUC)均>0.5,且男生的每项指标AUC均大于女生,其中男生身体形态中有多项指标与血压偏高的AUC>0.65。结论身体形态指标对男生血压偏高的诊断意义大于女生,尤其是PBF指标,全身性肥胖,特别是皮下脂肪肥胖与血压的相关性较高。展开更多
A transient flow model of tree-shaped fractal reservoirs is built by embedding a fracture network simulated by a tree-shaped fractal network into a matrix system. The model can be solved using the Laplace conversion m...A transient flow model of tree-shaped fractal reservoirs is built by embedding a fracture network simulated by a tree-shaped fractal network into a matrix system. The model can be solved using the Laplace conversion method. The dimensionless bottom hole pressure can be obtained using the Stehfest numerical inversion method. The bi-logarithmic type curves for the trce-shaped fractal reservoirs are thus obtained. The pressure transient responses under different fractal factors are discussed. The factors with a primary effect on the inter-porosity flow regime include the initial branch number N, the length ratio α, and the branch angle θ. The diameter ratio β has a significant effect on the fracture radial flow, the inter-porosity and the total system radial flow regimes. The total branch level M of the network mainly influences the total system radial flow regime. The model presented in this paper provides a new methodology for analyzing and predicting the pressure dynamic characteristics of naturally fractured reservoirs.展开更多
基金A Project Funded by National Science and Technology Major Project (2011ZX05001-002-003)the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)Key Laboratory for Coalbed Methane Resources and Reservoir formation Process, CUMT, Ministry of Education, China
文摘This paper introduces horizon control, seismic control, logging control and facies control methods through the application of the least squares fitting of logging curves, seismic inversion and facies-controlled techniques. Based on the microgeology and thin section analyses, the lithology, lithofacies and periods of the Permian igneous rocks are described in detail. The seismic inversion and facies-controlled techniques were used to find the distribution characteristics of the igneous rocks and the 3D velocity volume. The least squares fitting of the logging curves overcome the problem that the work area is short of density logging data. Through analysis of thin sections, the lithofacies can be classified into eruption airfall subfacies, eruption pyroclastic flow subfacies and eruption facies.
文摘目的了解新疆高校新生身体形态指标与血压的特征及差异性,分析其关联性,为新疆高校新生高血压防治和干预提供参考依据。方法采用随机抽样对新疆4所高校的1853名18~21岁大学新生进行身体形态、腰围、臀围、血压等指标测量,根据受试者血压分为正常血压组和血压偏高组,分析不同性别、民族、年龄段新生血压的差异;统计学方法采用χ^(2)检验、Pearson相关性分析、Logistic回归分析及受试者操作特征(receiver operating characteristic,ROC)曲线分析。结果女生的体脂率(percent body fat,PBF)和体脂量高于男生[(24±8)%与(18±7)%,t=-17.95,P<0.01);(18±7)kg与(14±7)kg,t=-4.27,P<0.01],其他指标均低于男生;除体脂率外,汉族学生的身体形态指标均高于少数民族(P值均<0.01)。男生的血压偏高检出率高于女生[51.5%(538/1044)与42.4%(343/809),χ^(2)=15.250,P<0.01];汉族血压偏高检出率高于少数民族[59.4%(372/626)与41.5%(509/1227),χ^(2)=53.503,P<0.01];18~19岁新生的血压偏高检出率高于20~21岁[(51.4%(348/677)与45.3%(533/1176),χ^(2)=6.369,P<0.05)]。不同性别血压偏高组的身体形态指标均>正常血压组;大学新生收缩压与舒张压与身体形态呈现不同程度的相关性,多因素Logistics回归分析结果显示,男生的身体质量指数(body mass index,BMI)、PBF、体脂量、内脏脂肪等级(visceral fat level,VFL)、腰臀比(waist to hip ratio,WHR)和女生的体质量、BMI、体脂量、VFL超标以及女生体表面积(body surface area,BSA)下降都会增加血压偏高的风险;不同身体形态指标对血压偏高的曲线下面积(area under the curve,AUC)均>0.5,且男生的每项指标AUC均大于女生,其中男生身体形态中有多项指标与血压偏高的AUC>0.65。结论身体形态指标对男生血压偏高的诊断意义大于女生,尤其是PBF指标,全身性肥胖,特别是皮下脂肪肥胖与血压的相关性较高。
基金supported by the National Science Fund for Distinguished Young Scholars of China(Grant No.51125019)supported by the 2014 Australia China National Gas Technology Partnership Fund Top Up Scholoarship
文摘A transient flow model of tree-shaped fractal reservoirs is built by embedding a fracture network simulated by a tree-shaped fractal network into a matrix system. The model can be solved using the Laplace conversion method. The dimensionless bottom hole pressure can be obtained using the Stehfest numerical inversion method. The bi-logarithmic type curves for the trce-shaped fractal reservoirs are thus obtained. The pressure transient responses under different fractal factors are discussed. The factors with a primary effect on the inter-porosity flow regime include the initial branch number N, the length ratio α, and the branch angle θ. The diameter ratio β has a significant effect on the fracture radial flow, the inter-porosity and the total system radial flow regimes. The total branch level M of the network mainly influences the total system radial flow regime. The model presented in this paper provides a new methodology for analyzing and predicting the pressure dynamic characteristics of naturally fractured reservoirs.
