储层孔隙度

  • 网络Reservoir Porosity
储层孔隙度储层孔隙度
  1. 有限元技术在预测储层孔隙度、渗透率中的应用

    Application of finite element method in predicting reservoir porosity and permeability

  2. 用多元逐步回归方法评价储层孔隙度的控制因素

    Estimation of controlling factors of reservoir porosity by using multiple stepwise regression analysis

  3. 利用BP网络技术预测碳酸盐岩储层孔隙度

    Utilizing neural networks to predict porosity and permeability

  4. 本文利用取心井的储层孔隙度与测并数据,应用改进的BP神经网络模型建立了川中磨溪气田香四储层物性参数孔隙度的预测模型。

    Using the formation porosity and logging data of cored well of Moxi gas field , we have successfully applied Back Propagation Network to the establishment of a prediction model of calculating formation parameters-porosity .

  5. 此外,还利用T2分布研究有效储层孔隙度下限,并估算渗透率。低渗透气藏岩心的孔隙度随有效压力的增大呈指数关系递减。

    In addition ,? T2 ? distribution is used to determine the lower limit of effective porosity and estimate permeability in the reservoir . Stress sensitivity has relationship with water saturation of reservoirs .

  6. 渤海SZ36-1油田是国内现开发的最大的海上高孔高渗稠油油田,具有层系多,油层厚,储层孔隙度和渗透率高,层系间渗透率差异大等特点。

    At present , SZ36-1 in Bohai bay is the biggest offshore heavy oil field in China , which characterized in high porosity and permeability , multiple thick layers and heterogeneity .

  7. 碳氧比能谱测井确定储层孔隙度方法研究

    A Method for Determining Porosity from C / O Log Information

  8. 渤海海域深部碎屑岩储层孔隙度预测

    The predicting porosity of deep clastic reservoirs in Bohai Sea

  9. 天然气储层孔隙度测井解释方法研究

    Study on porosity log interpretation methods of gas reservoir

  10. 该区古生界储层孔隙度和渗透率较低。

    Second , the porosity and the permeable of Paleozoic reservoir are low .

  11. 利用灰色模型预测储层孔隙度

    Application of Grey Model to Predict Reservoir Porosity

  12. 用非线性理论预测储层孔隙度和渗透率

    Prediction of reservoir porosity and permeability on the basis of non - linear theory

  13. 复杂岩性裂缝&孔隙型储层孔隙度计算方法研究

    Porosity calculation method of complex lithological fractured-porous reservoir

  14. 砂岩储层孔隙度和渗透率的影响因素

    The influential elements of sandstone porosity and permeability

  15. 储层孔隙度应力敏感性研究

    Study on the stress sensibility of reservoir porosity

  16. 扩展时间平均方程在碎屑岩储层孔隙度预测中的应用

    Application of extended time average equation in the prediction of porosities of clastic reservoir rocks

  17. 储层孔隙度和渗透率参数是储层微观孔隙结构特征的宏观综合表现。

    The porosity and permeability of reservoir are macroscopic reflection of microscopic reservoir pore structure characteristics .

  18. 低渗透砂岩储层孔隙度、渗透率与有效应力关系研究

    Study on relation between porosity / permeability and effective stress of sand reservoir with low permeability

  19. 测井曲线受天然气影响,致使测井值不能准确反映储层孔隙度。

    For logging trave influenced by gas saturation , log data can 't reflect reservoir porosity .

  20. 应用地质统计方法,计算出储层孔隙度与波阻抗模型中的常数。

    The geostatistics methods have been used to calculate the constants applied in the reservoir porosity and impedance models .

  21. 研究区煤储层孔隙度低、渗透率低、表面积大,但由于后期改造可以生成高渗透储层。

    In coal reservoir stratum of the study area , porosity and permeability is low , superficial area is large .

  22. 但随着溶蚀程度的增加,储层孔隙度明显提高。

    However , along with the increase in corrosive level , the porosity of the reservoir would be obviously raised .

  23. 铸体薄片图像分析法求取储层孔隙度高职院校《机械制图》分层教学法探讨

    Strike the Reservoir Porosity Using the Casting Sheet Image The Exploration of Technical College Mechanical Drawing Teaching in Different Levels

  24. 储层孔隙度为中到低孔、渗透率为低渗到特低渗,造成储层渗透率低的主要成岩作用是压实作用和胶结作用。

    The porosity of the reservoir alter form middle porosity to low porosity , the permeability alter from low to particular low .

  25. 该模型避免了直接用煤体收缩系数和εl/β来计算储层孔隙度和渗透率所引起的误差。

    The model avoids the reservoir porosity and permeability error that are brought by the inaccurate coal matrix coefficient and 1 / .

  26. 这一结论说明可通过地震反演(尤其是联合反演)预测储层孔隙度和含气性。

    This conclusion showed may ( joint inversion through the seismic inversion to forecast in particular ) the reservoir porosity and contains the disposition .

  27. 本文引入神经网络技术,用以研究碳酸盐岩测井信息与岩心分析孔隙度的关系,并由此预测储层孔隙度。

    The relation between carbonate rock logging information and core analysis porosity is studied by neural net technique to forecast reservoir porosity in this paper .

  28. 研究结果表明,本方法是一套预测鲕滩储层孔隙度的有效方法,具有重要的实用价值。

    Through research it is shown that this method is an effective method of predicting oolitic beach reservoir porosity , being of important practical value .

  29. 在此预测模型的基础上,研究分析了储层孔隙度、渗透率、含油饱和度在平面上的分布规律。

    Based on the modeling results , the distribution laws are studied and analyzed for porosity and permeability of reservoir and oil-bearing saturation on the horizontal zone .

  30. 本文在岩心分析孔隙度资料基础上,提出了两个计算碳酸盐岩储层孔隙度的新公式及解释图版。

    Based on the porosity data by core analysis , this paper presents two new equations and two new interpretation charts to calculate porosity in carbonate reservoir .