萨北X区东部过渡带萨尔图油层储层预测研究

发布时间：2018-01-09 12:23

本文关键词：萨北X区东部过渡带萨尔图油层储层预测研究　出处：《东北石油大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着萨北开发区进入勘探开发高含水后期阶段,剩余经济可采储量的开发难度不断增加,储层精细描述受井网密度低、砂体发育相对较差等影响,识别效率不高,预测效果不好。因此,亟需开展井震结合储层预测研究,最大限度地发挥地震资料横向预测能力,探索井震结合技术的适应性,满足开发调整需求。本论文以萨北开发区东部过渡带萨尔图油层为研究区域,以地震资料与测井资料为基础,以描述萨尔图油层十八个沉积单元的沉积微相及河道展布规律为目的,重点开展了研究区目的层的层位精细解释、地质统计学反演与属性融合研究。主要细分为:(1)基于井震一致性的思想,在井点岩性标定的基础上开展精细解释,落实小层位置,保证解释的准确性。(2)基于测井曲线的不同频率尺度反应不同沉积特征的特点,开展研究区各沉积单元各向异性多概率地质统计学反演工作,预测各小层的横纵向砂体展布规律与连通情况,通过抽稀验证反演结果准确性。(3)开展萨尔图油层正演模拟研究,通过建立河道砂体组合地质模型,分析不同砂岩特征下各属性敏感性,通过正演分析确定属性优选结果。(4)以井点进行相关性分析及权重比的选择为基础进行属性融合研究,根据融合地震相结果及测井数据精细描述沉积微相,研究河道特征及河道变化。研究表明,研究区西南高,东北低,整体上层位平缓且无复杂构造或断裂。经过井震结合精细层位标定识别了S1、S2、S3以及P1四个反射层。反演成果对储层砂体刻画可信度高,纵向分辨率较好。优选后的属性与反演成果融合可以作为河道刻画与沉积微相绘制的有效手段。通过对各个沉积单元钻遇河道井点开展符合率情况统计得出,河道预测符合率能到达到80%以上,河道砂微相预测符合率提高10%以上,完成了对各个沉积单元的沉积微相特征与河道变化的全面认识,从而为砂体发育较差的砂泥薄互层储层的预测提供了有利的研究思路。
[Abstract]:With the later stage of high water cut in Sabei Development Zone, the development difficulty of remaining economic recoverable reserves is increasing, and the fine reservoir description is affected by low well pattern density and relatively poor sand body development. The identification efficiency is not high, and the prediction effect is not good. Therefore, it is urgent to carry out the research of reservoir prediction combined with well and earthquake, to maximize the lateral prediction ability of seismic data, and to explore the adaptability of well shock combination technology. To meet the needs of development adjustment. This paper takes the Saartu oil layer in the eastern transitional zone of Sabei Development Zone as the research area, based on seismic data and logging data. In order to describe the sedimentary microfacies and channel distribution of 18 sedimentary units in Saltu reservoir, the fine interpretation of the target layer in the study area is carried out. The research of geostatistical inversion and attribute fusion. The main subdivision is: 1) based on the idea of well seismic consistency, the fine interpretation is carried out on the basis of well point lithology calibration, and the location of small layers is implemented. To ensure the accuracy of interpretation. (2) based on the characteristics of different frequency scales of log curves reflecting different sedimentary characteristics, the anisotropic multi-probability geostatistical inversion of sedimentary units in the study area is carried out. To predict the distribution and connectivity of the horizontal and longitudinal sand bodies of each sublayer, the accuracy of inversion results is verified by pumping. 3) the forward modeling of Saltu reservoir is carried out, and the geological model of channel sand body assemblage is established. The sensitivity of each attribute under different sandstone characteristics is analyzed, and the result of attribute optimal selection is determined by forward modeling. (4) based on the correlation analysis of well points and the selection of weight ratio, attribute fusion research is carried out. According to the fusion seismic facies results and logging data, the sedimentary microfacies are accurately described, and the channel characteristics and channel changes are studied. The results show that the southwest of the study area is high and the northeast of the study area is low. The whole upper layer is flat and without complex structures or faults. The four reflection layers S1S2S3 and P1 are identified by well earthquakes and fine horizon calibration. The inversion results have high credibility for the characterization of reservoir sand bodies. The fusion of attributes and inversion results after optimal selection can be used as an effective means of channel characterization and sedimentary microfacies mapping. The predicted coincidence rate of channel prediction can reach more than 80%, and the prediction coincidence rate of channel sand microfacies can be increased by more than 10%. The comprehensive understanding of sedimentary microfacies characteristics and channel changes of each sedimentary unit has been completed. This provides a favorable research idea for the prediction of sand and mud thin interbed reservoirs with poor development of sand bodies.
【学位授予单位】：东北石油大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P618.13

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