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定量预测泥质岩裂缝密度的深度序列分析法 被引量:4
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作者 赖生华 徐国盛 周文 《石油勘探与开发》 SCIE EI CAS CSCD 北大核心 2000年第3期88-90,共3页
利用深度序列分析法的基础原理建立多口井的泥质岩储集层裂缝密度模型,可使定量预测储集层裂缝密度具有更高的精度。高家涯油田实例表明,用该模型作出的解释裂缝密度与岩心裂缝密度曲线随深度的变化其趋势基本一致,且平均相对误差为1... 利用深度序列分析法的基础原理建立多口井的泥质岩储集层裂缝密度模型,可使定量预测储集层裂缝密度具有更高的精度。高家涯油田实例表明,用该模型作出的解释裂缝密度与岩心裂缝密度曲线随深度的变化其趋势基本一致,且平均相对误差为13.5%,较回归分析、BP网络模型进行裂缝预测的平均相对误差(分别为38.7%、17.9%)的精度要高。通过运用该方法反演油田工区多口井的储集层裂缝密度,看出该油田在纵向上有随时代变老、深度加深,裂缝密度呈降低趋势。即从上新统中部(N22)、上新统下部(N12)到中新统(N1),平均裂缝密度从0.78条/m、0.5条/m、降低到0.3条/m;在平面上,沿构造轴部裂缝最发育,平均裂缝密度N22、N12、N1层分别为0.58条/m、0.6条/m、0.3条/m。在实用中,通过实际资料的解释,指明了油田中、南区沿构造轴部为进一步部署钻井的有利地带。图4表2参2(李建国摘) 展开更多
关键词 定量预测 泥质岩 裂缝密度 深度序列分析 储集层
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Effects of Snow Cover on Ground Thermal Regime: A Case Study in Heilongjiang Province of China 被引量:2
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作者 LI Xiaofeng ZHENG Xingming +3 位作者 WU Lili ZHAO Kai JIANG Tao GU Lingjia 《Chinese Geographical Science》 SCIE CSCD 2016年第4期527-538,共12页
The important effects of snow cover to ground thermal decades. In the most of previous research, the effects were usually regime has received much attention of scholars during the past few evaluated through the numeri... The important effects of snow cover to ground thermal decades. In the most of previous research, the effects were usually regime has received much attention of scholars during the past few evaluated through the numerical models and many important results are found. However, less examples and insufficient data based on field measurements are available to show natural cases. In the present work, a typical case study in Mohe and Beijicun meteorological stations, which both are located in the most northern tip of China, is given to show the effects of snow cover on the ground thermal regime. The spatial (the ground profile) and time series analysis in the extremely snowy winter of 2012-2013 in Heilongjiang Province are also performed by contrast with those in the winter of 2011-2012 based on the measured data collected by 63 meteorological stations, Our results illustrate the positive (warmer) effect of snow cover on the ground temperature (GT) on the daily basis, the highest difference between GT and daily mean air temperature (DGAT) is as high as 32.35℃. Moreover, by the lag time analysis method it is found that the response time of GT from 0 cm to 20 cm ground depth to the alternate change of snow depth has 10 days lag, while at 40 cm depth the response of DGAT is not significant. This result is different from the previous research by modeling, in which the resnonse denth of ground to the alteration of snow depth is far more than 40 cm. 展开更多
关键词 snow cover ground temperature lag time analysis spline mean difference between ground temperature and air temperature(DGAT)
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