多属性分析优化方法在南苏丹Greater Unity油田的应用APPLICATION OF MULTI-ATTRIBUTE ANALYZING AND OPTIMIZING METHOD IN GREATER UNITY OILFIELD OF SOUTH SUDAN
王延君,白宝玲,周永炳
WANG Yanjun,BAI Baoling,ZHOU Yongbing
摘要(Abstract):
多属性分析优化方法是地震储层预测的直接手段之一,近年来在许多油田得到了较好应用。南苏丹Greater Unity油田三维地震资料品质差、构造复杂,为了解决地质相控建模和岩性建模的难题,运用多属性分析优化方法进行储层预测和砂体识别。在地震精细解释的基础上,提取多种地震属性,以K-L变换方法进行属性优化,筛选最敏感属性参数。应用结果表明,该方法既降低单一属性的多解性又突出多属性间的差异性,能有效提高储层预测精度,为后期油藏描述和开发方案制定奠定基础。
Multi-attribute analyzing and optimizing method is one of the direct approaches on seismic reservoir prediction,and moreover it has been well applied in many oilfields in recent years.Greater Unity Oilfield of South Sudan is characterized by poor-quality 3D seismic data and complex structures,in order to solve the problems in the geological phase-controlled modeling and lithological modeling,with the help of the method,the reservoir prediction and sandbody recognition are carried out.Based on the fine seismic interpretation,the multiple seismic attributes have been extracted and optimized by K-L transforming method;finally the most sensitive attributes are screened.The applied results show that the method can not only reduce the multiplicity of the individual attribute but also stand out the differentiation among the attributes,thus the prediction precision has been effectively enhanced,and furthermore has laid a certain foundation for the later oil reservoir characterization and developing program compilation.
关键词(KeyWords):
地震属性;K-L变换;多属性分析;储层预测;砂体识别
seismic attribute;K-L transform;multi-attribute analysis;reservoir prediction;sandstone identification/recognition
基金项目(Foundation): 国家“十二五”重大专项课题“井震结合油藏精细结构表征技术”(2011ZX05010-001)
作者(Author):
王延君,白宝玲,周永炳
WANG Yanjun,BAI Baoling,ZHOU Yongbing
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