摘要
针对泌阳凹陷深层系低孔低渗油气层测井评价的困难和需求,研究了区域组合测井曲线响应特征,并根据地区经验、统计规律以及不同油气层测井识别方法的地区适用性考察结果,确立了利用电阻率径向特征、电阻率时间推移测井识别油水层及应用套后补偿中子测井识别气层等有效方法。引入神经网络、小波分析等资料处理解释方法以及核磁成像等测井资料解释成果,为区域油气层识别提供了新的手段和信息,经进一步配套、组合,得到了泌阳凹陷深层系低孔低渗油气层测井综合判别方法,并在生产中进行了广泛应用。应用结果表明,根据地区经验,采用多信息、多方法的综合判别技术,是解决低孔低渗油气层测井识别难题的一种有效途径。
On the demand for the well-logging evaluation of low porosity and low permeability reservoirs in Biyang sag, the difficulties in the district logging evaluation and the logging response characteristics were analyzed according to the local experimental data and geological knowledge. The hydrocarbon identification methods by integration of laterolog radial characteristic, time-lapse logging, cased hole compensated neutron logging（CNL）, nuclear magnetism log, neural network, wavelet analysis, etc., were developed and applied to the reservoirs in Biyang sag successfully. These field case studies demonstrate that this comprehensive evaluation method is an effective way to identify the hydrocarbon zones of low porosity and low permeability, as it combines various logging technologies and information as well as the prior areal experimental knowledge.
出处
《石油大学学报（自然科学版）》
EI
CSCD
北大核心
2005年第6期27-31,共5页
Journal of the University of Petroleum,China(Edition of Natural Science)
基金
中石化科技进步及生产研究项目(P01029)
关键词
泌阳凹陷
低孔低渗油气层
测井响应
油气层识别
Biyang sag
low porosity and low permeability reservoirs
logging response
hydrocarbon identification
