1) sandstone thickness prediction

砂岩厚度预测
2) Sand body thickness prediction

砂体厚度预测
3) sandstone thickness

砂岩厚度
1.
Using sedimentary facies control of reservoir physical properties, the paper puts forward a facies-controlled model to predict physical property parameters of sandstone reservoirs between wells and to research sandstone thickness as well as lateral distribution of reservoir porosity and permeability by building a model of reservoir physical property parameters.
据此 ,针对砂岩储集层进行井间参数预测 ,研究砂岩厚度、孔隙度、渗透率的平面分布 ,提出建立井间储集层参数模型的相控模型法 ,其实质是进行带地质约束的井间参数预估 ,即由井间沉积相地质信息提取储集层参数软信息 ,增补井间约束条件 ,与井点数据共同预测井间储集层参数。
2.
the method , s precision(70%)was proved through predicting sandstone thickness of different sand body and well pattern density of Beierdong dense well pattern testing area.
通过对北二东密井网试验区不同类型砂体、不同井网密度砂岩厚度的预测 ,检验了此方法的精度 (为 70 %左右 )。
4) visual sandstone thickness

视砂岩厚度
1.
Through selecting reservoir parameters, the concepts of visual sandstone thickness and visual effective thickness are presented, which can effectively describe the geological characteristics of separated-zone water injection interval.
通过优选地层参数 ,提出了视砂岩厚度、视有效厚度的概念 ,并描述了注水井分层注水层段的地质特征 。
5) sand body thickness

砂岩体厚度
补充资料:发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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