YLYTT70-122区块精细构造解释及井网优化研究

发布时间：2019-06-17 08:57

【摘要】：本文通过研究并分析YLYTT70-122区的野外地震采集资料,提出了能够对精细构造予以描述并对储层予以预测的地震数据体,并以此提升了目的层的资料质量及其成像精度。研究结果表明,有效信号的能量在深层处表现较弱。同时,面波、异常值、异常振幅、高频干扰及多次波构成了主要的噪音信号。在目的层中,处理成果剖面的信息较为丰富,并且其信噪比、分辨率和波组特征等方面均取得良好的效果。利用储层反演技术预测了砂体发育情况,所预测的砂岩厚度较好的吻合了单井钻遇砂岩厚度。通过分析砂岩的百分含量、砂岩厚度图及地震属性,确定了该区储层沉积受北西向物源控制,并主要发育了三角洲外前缘席状砂。以本次储层预测的结果为依据,设计了相应的井网并对井位进行了合理的部署。优先选择地震属性及砂体发育有利的区域,部署水平井结合直井注采的井网。以上研究成果为下一步区块开发提供了技术储备,降低了开发风险。
[Abstract]:In this paper, by studying and analyzing the field seismic acquisition data in YLYTT70- 122 area, a seismic data volume which can describe the fine structure and predict the reservoir is proposed, which improves the data quality and imaging accuracy of the target layer. The results show that the energy of the effective signal is weak in the deep layer. At the same time, surface wave, abnormal value, abnormal amplitude, high frequency interference and multiple wave constitute the main noise signal. In the target layer, the information of the processed result profile is rich, and its signal-to-noise ratio (SNR), resolution and wave group characteristics have achieved good results. The reservoir inversion technique is used to predict the development of sand bodies, and the predicted sandstone thickness is in good agreement with the thickness of sandstone drilled in a single well. By analyzing the percentage content of sandstone, sandstone thickness map and seismic attributes, it is determined that the reservoir deposition in this area is controlled by the northwest provenance, and the mat sand on the outer edge of the Delta is mainly developed. Based on the results of reservoir prediction, the corresponding well pattern is designed and the well location is reasonably deployed. Priority is given to the selection of seismic attributes and favorable areas for sand body development, and the well pattern of horizontal wells combined with straight well injection and production is deployed. The above research results provide technical reserve for the next step of block development and reduce the development risk.
【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】：TE324;P618.13

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