针对玛湖凹陷有效储层识别精度较低的问题,以玛湖油田M2井区百口泉组为研究对象,运用同步反演和随机反演相结合的反演及地质统计学方法,预测玛湖油田致密砂砾岩有效储层,完成了储层品质及“甜点”分类评价,精细刻画了玛湖油田百口泉组的储集特征。研究结果表明:通过建立横波原型、调整波形因子参数、反演结果质量控制、多属性体操作等技术,不仅有效解决致密储层波阻抗重叠的问题,而且大幅度提高储层预测的纵横波分辨率,进一步确定反演结果的客观性和可靠性。利用叠前反演技术提高了岩性分布概率及储层物性预测效果,成功刻画了砂体边界,为地质及岩石力学参数建模提供可靠的空间约束条件。研究成果为玛湖油田百口泉组油藏评价和开发方案部署提供技术支持。
To address the problem of low accuracy in identifying effective reservoirs in Mahu Sag, Baikouquan Formation in Well Block M2, Mahu Oilfield was taken as the study object. The geostatistical methods in combination with simultaneous and stochastic inversion were employed to predict effective reservoirs of dense glutenite in Mahu Oilfield, complete the reservoir quality and sweet spot classification evaluation, and characterize the reservoir characteristics of Baikouquan Formation, Mahu Oilfield in detail. The results of the study showed that S-wave prototype was established, and waveform factor parameters, quality control of inversion results and multi-attribute volume operations were adjusted, which not only solved the problem of wave impedance overlap in dense reservoirs, but also substantially improved the longitudinal and transverse wave resolution in reservoir prediction, and the objectivity and reliability of the inversion results were further determined. In addition, pre-stack inversion technology was used to improve the lithology probability and the prediction effect of reservoir physical properties, and successfully characterize the sand body boundary, providing reliable spatial constraints for geological and rock mechanics parameter modeling. The study results provide technical support for planning and deployment of reservoir evaluation and development in Baikouquan Formation, Mahu Oilfield.
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