| 低电阻率气层测井评价方法 |
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| 引用本文： | 罗利,杨嘉,陈伟中. 低电阻率气层测井评价方法[J]. 测井技术, 2003, 27(5): 394-398 |
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| 作者姓名： | 罗利 杨嘉 陈伟中 |
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| 作者单位： | 1. 四川测井公司
2. 塔里木油田公司 |
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| 摘 要： | 粘土矿物成份是造成气层电阻率低的主要原因。用灰色静态模型计算孔隙度，用BP神经网络计算束缚水饱和度等参数。与岩心分析结果比较，储层参数计算结果精度有所提高。用储层参数建立气层和水层的判别式，判别结果与试油有较好的一致性。综合数字处理结果建立了气层产能评价模型，处理结果与试油结果比较，符合率82％。
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| 关 键 词： | 低电阻率气层 测井 地层评价方法 含气砂岩 储层参数 数学模型 粘土矿物 |
| 修稿时间： | 2003-03-19 |
Log Evaluation Techniques for Low Resistivity Gas Zone |
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| Luo Li,Yang Jia,Chen Weizhong. Log Evaluation Techniques for Low Resistivity Gas Zone[J]. Well Logging Technology, 2003, 27(5): 394-398 |
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| Authors: | Luo Li Yang Jia Chen Weizhong |
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| Abstract: | The composition of clay minerals is the main cause generating low-resistivity gas zone. Grey static system is used to calculate porosity, and the BP neural network is used to count irreducible water saturation, etc. Compared with core analytic results, the accuracy of reservoir parameters obtained from the system and the network has been enhanced. The math discriminant for gas and water beds, set up with the reservoir parameters, agrees well with the tested results. The newly developed model of productivity evaluation of gas bed has an 82 percentage of agreement with the test results. |
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| Keywords: | low resistivity gas sand reservoir parameter math model clay mineral logging data processing formation evaluation |
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