基于知识驱动数据挖掘技术在复杂储层评价中的应用

录井引进、发展了数十项技术用于复杂储层的油气层评价，这些技术之间既有一致性，也有差异性、矛盾性，为解决这一难题，基于知识驱动的数据挖掘技术，以试油层录井、测井资料为数据源，结合研究区多种复杂储层的资料响应特征，挖掘敏感参数，再分别应用因子分析、多元判别、灰色关联分析方法，建立多参数储层流体性质评价模型。应用结果表明，建立的多参数评价模型客观、有效，在研究区实现了对生物降解油层、重稠油层、多油源油层的有效评价，为复杂储层的精准评价提供了借鉴经验，可进一步推广到相关领域，对提升油田勘探开发成效具有积极的作用。

Application of knowledge-driven data mining in the complex reservoir evaluation

Several ten techniques were introduced and further developed for the complex oil and gas reservoir evaluation. However, these techniques are found with both consistency and differences/contradictions. Given this, knowledge-driven data mining, combined with the identified data response characteristics of multiple complex reservoirs in the study area, was used to search for sensitive parameters from mud logging and well logging data of target layers of formation testing. Subsequently, factor analysis, multivariate discriminant analysis, and grey correlation analysis were performed to build the multi-parameter reservoir fluid property evaluation model. The application results showed that the presented multi-parameter evaluation model is objective and effective. It delivers effective evaluations of the bio-degraded oil reservoir, heavy oil reservoir, and mixed-source oil reservoir in the study area, and provides inspiring experience for the fine evaluation of complex reservoirs. It can be further promoted to relevant oilfields and makes contributions to improving the efficiency of oilfield exploration and development.