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| 致密砂岩储层孔隙度定量预测——以鄂尔多斯盆地姬塬地区长8油层组为例 | |
| 引用本文： | 刘畅,张琴,庞国印,王琪,廖朋,马晓峰.致密砂岩储层孔隙度定量预测——以鄂尔多斯盆地姬塬地区长8油层组为例[J].岩性油气藏,2013,25(5):70-75. |
| 作者姓名： | 刘畅 张琴 庞国印 王琪 廖朋 马晓峰 |
| 作者单位： | 1. 中国石油大学(北京)地球科学学院,北京,102249 2. 中国科学院油气资源研究重点实验室,甘肃兰州730000;中国科学院大学,北京100049 3. 中国科学院油气资源研究重点实验室,甘肃兰州,730000 |
| 基金项目： | 中国科学院"西部之光"联合学者项目"鄂尔多斯盆地延长组长8储层特征及其控制因素研究" |
| 摘 要： | 鄂尔多斯盆地姬塬地区长8油层组为典型的低孔、低渗致密砂岩储层。由于其孔隙结构复杂、非均质性强,应用传统的孔隙度计算方法误差较大,结合姬塬地区长8油层组的具体地质特征,运用广义回归神经网络模型对致密砂岩储层孔隙度进行了预测。结果表明,利用该方法预测的孔隙度与利用岩心分析的孔隙度符合率较高。该方法对于未取心井区致密砂岩储层孔隙度的研究具有很好的应用前景。 |
| 关 键 词： | 致密砂岩 孔隙度 广义回归神经网络 非均质性 长8油层组 姬塬地区 |
Quantitative prediction of porosity of tight sandstone reservoir: A case study from Chang 8 oil reservoir set in Jiyuan area, Ordos Basin |
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| LIU Chang , ZHANG Qin , PANG Guoyin , WANG Qi , LIAO Peng , MA Xiaofeng.Quantitative prediction of porosity of tight sandstone reservoir: A case study from Chang 8 oil reservoir set in Jiyuan area, Ordos Basin[J].Northwest Oil & Gas Exploration,2013,25(5):70-75. | |
| Authors: | LIU Chang ZHANG Qin PANG Guoyin WANG Qi LIAO Peng MA Xiaofeng |
| Affiliation: | 1. College of Geosciences, China University of Petroleum, Beijing 102249, China; 2. Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Lanzhou 730000, China; 3. University of Chinese Academy of Sciences, Beijing 100049, China) |
| Abstract: | The Chang 8 oil reservoir set in Jiyuan area is typical tight sandstone reservoir with low porosity and permea- bility. Due to the complex pore structure and strong reservoir heterogeneity, it is circumscribed to calculate the porosity by the traditional way. Combined with the geological characteristics of Chang 8 oil reservoir set in Jiyuan area, generalized regression neural network was applied to predict the porosity of tight sandstone reservoir. The result shows that the porosity predicted by the generalized regression neural network method is consistent with the porosity by well core analysis. Therefore, this method is of very good application value on porosity prediction of tight sandstone reservoir in the non-cored area. |
| Keywords: | tight sandstone porosity generalized regression neural network heterogeneity Chang 8 oil reservoir set Jiyuan area |
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