石油与天然气地质 ›› 1999, Vol. 20 ›› Issue (4): 279-282,289.doi: 10.11743/ogg19990402

• 前沿探索 • 上一篇    下一篇

天然气储层产能的测井评价与预测

肖慈珣1, 肖崇礼1, 粟英姿1, 胡华伟2, 陈必孝2   

  1. 1. 成都理工学院 四川成都 610059;
    2. 西南石油局测井站 四川资阳 641300
  • 收稿日期:1999-07-13 出版日期:1999-12-25 发布日期:2012-01-16
  • 基金项目:

    "九·五"国家重点科技攻关项目

LOG EVALUATION AND PREDICTION OF GAS RESERVOIR PRODUCTIVITY

Xiao Cixun1, Xiao Chongli1, Su Yinzi1, Hu Huawei2, Chen Bixao2   

  1. 1. Chengdu College of Technology, Chengdu, Sichuan;
    2. Well Logging Station of Southwest Petroleum Bureau
  • Received:1999-07-13 Online:1999-12-25 Published:2012-01-16

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924

摘要：

通过测井数据标准化、测井曲线自动分层和建立识别模式对可能产层进行识别,求出地层有效孔隙度、气体的绝对渗透率、有效渗透率、产能指数、产能系数和复合指数等6种参数为确定产能评价参数,然后通过聚类分析,就可获得预测产层级别的标准模式,利用分层产能级别,便可与储层产能(测试无阻流量)建立联系,达到评价和预测储层产能的目的。经在川西北地区应用,获得了良好的效果。

关键词: 天然气储层, 测井评价, 产能预测, 模糊聚类

Abstract:

Probable productive formations are recognized by log data standardization, log curve automativc layering and establishing recognizing models; the parmeters such as effective porosity of The formaions, the absofute and effectivePermeabilities of gas, the index and the coefficient of productivity, and the comprehensive index are calculated. The sedata are used as evaluation porters to detendne pwhctive formations. The standard model of productivity gradecan be obtained by cluster analysis, sublayer productivity grad could be connected to the reservoir productivity(testnonresistance out flow), and then the evaluation and the prediction of reservoir productivity could be realized.

Key words: gas reservoir, log evaluation, productivity prediction, fuzzy cluster

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