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| 碳酸盐岩储层渗透率预测 | |
| 引用本文： | 储昭宏,马永生,林畅松.碳酸盐岩储层渗透率预测[J].地质科技情报,2006,25(4):27-32. |
| 作者姓名： | 储昭宏 马永生 林畅松 |
| 作者单位： | 1. 中国地质大学,北京,100083;中国石油化工股份有限公司南方分公司,昆明,650023 2. 中国地质大学,北京,100083;中国石油化工股份有限公司南方分公司研究院,昆明,650023 3. 中国地质大学,北京,100083 |
| 摘 要： | 碳酸盐岩渗透率受岩石结构控制,而岩石结构是沉积和成岩共同作用的结果,碳酸盐岩储层渗透率的定量计算和预测是高效开发碳酸盐岩气田的重要依据.同传统指数模型、Winland-Pittman模型、Garman-Kozeny模型、Bryant-Finney模型相比,一般渗透率计算模型更能将岩石渗透率和地质参数有机地联系起来.采用一般渗透率模型,根据岩石原始水饱和度测定数据和薄片孔隙度,再结合钻井岩芯、岩屑和常规测井(自然伽马和深侧向电阻率)等资料,将岩石结构数与岩石物性及沉积旋回联系起来,对四川盆地某探井鲕滩气层的渗透率进行了定量计算,进而分析储层段渗透率垂向变化和沉积旋回间的关系,为在高频层序旋回内精确选定开发层段提供了可靠依据. |
| 关 键 词： | 渗透率预测 一般渗透率模型 岩石结构数 鲕滩气层 |
| 文章编号： | 1000-7849(2006)04-0027-06 |
| 收稿时间： | 2005-10-08 |
| 修稿时间： | 2005年10月8日 |
Permeability Prediction of Carbonate Reservoir |
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| CHU Zhao-hong,MA Yong-sheng,LIN Chang-song.Permeability Prediction of Carbonate Reservoir[J].Geological Science and Technology Information,2006,25(4):27-32. | |
| Authors: | CHU Zhao-hong MA Yong-sheng LIN Chang-song |
| Institution: | 1. China University of Geosciences, Beijing 100083,China;2. Southern Exploration and Development Division Company of SINOPEC,Kunming 650023,China;3. Institute of Southern Exploration and Development Division Company of SINOPEC , Kunming 650023,China |
| Abstract: | The permeability of carbonates is controlled by the rock fabric which is determinated by the combination of deposition and diageneses of carbonate sediments. The quantitative analysis and prediction of carbonates are important for accurately determining reservoir capacity and effective development plan of gas fields. At present, there are several methods in calculation of permeability. Among them the generalized permeability model for carbonates, which provides a vital link between petrophysical and geological models, has been introduced in this paper and applied to the permeability calculation of oolite gas reservoir bed in a exploration well in Sichuan Basin. On the basis of the initial water saturation data of rock plugs and porosity data in thin sections combined with cores, cuttings, and routine log information of boring wells such as natural Gamma and depth resistivity logging, and by using of the generalized model, the value of permeability and its changes in sequence stratigraphic framework can be calculated and predicted respectively so that the intervals of reservoir for development can be precisely determined. |
| Keywords: | permeability prediction generalized permeability model rock-fabric number oolite gas bed |
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