التفاصيل البيبلوغرافية
| العنوان: |
基于测井曲线包络面积预测油气藏产能. (Chinese) |
| Alternate Title: |
Reservoir Productivity Prediction Based on Envelope Area of Logging Curve. (English) |
| المؤلفون: |
韩鸿来, 刘之的, 张志强, 王猛, 刘海波, 刘志杰 |
| المصدر: |
Science Technology & Engineering; 5/22/2024, Vol. 24 Issue 15, p6254-6262, 9p |
| Abstract (English): |
In order to predict the reservoir productivity, solve the problem of weak log response characteristics caused by complex pore structure and low productivity prediction accuracy by conventional logging methods. The method of crossplots was used to investigate the relationship between the enveloped area of well log curves in the clastic rock reservoir of the Xihu Sag in the East China Sea Basin and productivity. The sensitivity envelope area of productivity was selected as the productivity prediction index. Based on the principle of wave superposition, the envelope area productivity prediction index was constructed, the entropy weight method was used to determine the weight of each prediction index, and then the productivity prediction model was established by reservoir type. The results show that the four envelope areas of compensation neutron permeability, resistivity density, resistivity apparent wave impedance and apparent wave impedance acoustic wave lag have strong sensitivity to productivity. The accuracy of the productivity prediction model established is high, and the average error is 19. 4%. It is concluded that the productivity prediction model based on envelope area can be used to predict the productivity of oil and gas reservoirs without dynamic test, which provides a new idea for the oil and gas reservoir productivity prediction method. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
为了准确预测油气藏产能,解决复杂孔隙结构致使测井响应特征弱化,常规测井手段预测产能精度低的问题,通过 采用交会图手段研究了东海盆地西湖凹陷碎屑岩储层测井曲线包络面积与产能间的关系,并优选了产能敏感性包络面积作 为产能预测指标,借助波叠加性原理构建了包络面积产能预测指数,利用熵权法确定了各预测指标的权值,进而分储层类型 建立了产能预测模型。 结果表明:补偿中子-渗透率、电阻率-密度、电阻率-视波阻抗和视波阻抗-声波时差四组包络面积对产 能的敏感性较强;本文所构建的产能预测模型精度较高,平均误差为 19. 4% 。 可见基于包络面积的产能预测模型可用于未开 展动态测试的油气藏产能预测,为油气藏产能预测方法提供了新思路. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
