井震结合解释技术在大庆敖155区块扶余油层储层预测的应用

发布时间：2018-01-24 15:33

  本文关键词： 敖155区块 井震结合 储层预测 匹配追踪 地震属性　出处：《东北石油大学》2017年硕士论文　论文类型：学位论文

【摘要】：敖155区块是大庆油田勘探评价的重点区域,急需取得产能突破。该区砂岩层数多规模小、油层零散不连续,因此对于该区的构造研究,及储层预测都成为研究中的重点问题。本文以敖155区块为研究中心,通过井震结合预测区域内储层的分布情况,并给出水平井设计建议。本文从构造解释出发,将收集到的两套地震资料用“四步法”进行地震资料对比分析,并在此基础上,优选最佳地震数据体;同时通过探评井钻遇砂体及有效砂体情况,优选主力砂体发育小层;在区内井资料品质分析的基础上,进行目的层精细构造解释。首先开展精细合成记录标定工作,确定主力小层地震波形响应特征,初步分析全区可追踪小层;然后进行地震地质统层处理,明确地震同相轴与测井分层的合理对应关系,保证层位追踪的合理性;利用多种断层属性增强技术,精细刻画敖155区块扶余油层断裂分布特征;最后利用多条连井地震剖面,确定地震可追踪层位,构建格架解释方案,最终完成区块1*1CDP全三维构造解释;进而利用“层控+伪井”变速成图技术,编制主力砂体小层顶面深度构造图,为水平井部署提供指导。为对储层的空间展布特征准确落实,首先对地震资料进行相位分析,确定相移处理的适用性,其次利用井点钻遇砂岩厚度进行多属性交汇分析,优选出与砂岩厚度吻合率较高的平均振幅属性及流体活动性地震属性,进行定性砂体分布预测。然后采用基于波阻抗重构的地质统计学反演预测及基于神经网络的多属性地震反演进一步定量预测砂岩分布情况;定量的描述了各小层砂体规模,综合分析FⅠ1、FⅠ3、FⅠ5、FⅡ1和FⅡ2五个小层属地震性及反演预测成果,同时结合构造形态、地震资料品质范围及砂岩与有效砂岩厚度,明确了有利砂体的展布范围,优选了有利砂体发育区,为下一步水平井部署区的选择提供依据。
[Abstract]:Ao155 block is the key area of exploration and evaluation in Daqing Oilfield, which is in urgent need of productivity breakthrough. The sandstone layers in this area are small in size and the oil layers are scattered and discontinuous, so the structure of this area is studied. In this paper, Ao155 block is taken as the research center, and the distribution of reservoir in the area is predicted by combining well and earthquake. Based on the structural interpretation, the two sets of seismic data collected are compared and analyzed by "four-step method", and on this basis, the optimum seismic data volume is selected. At the same time, the main sand body is selected to develop a small layer by exploring and evaluating well drilling encounter sand body and effective sand body situation; Based on the analysis of the quality of well data in the area, the fine structure interpretation of the target layer is carried out. Firstly, the calibration of the fine composite records is carried out to determine the seismic waveform response characteristics of the main sub-layers, and the trace sub-layers are preliminarily analyzed in the whole area. Then the seismic geological series layer processing is carried out to make clear the reasonable correspondence relationship between seismic cophase axis and logging stratification to ensure the rationality of horizon tracing. The fault distribution characteristics of Fuyu oil layer in Ao155 block are accurately characterized by various fault attribute enhancement techniques. Finally, the seismic traceable horizon is determined by using multiple seismic profiles, and the grid frame interpretation scheme is constructed, and the complete 3D structural interpretation of block 1C ~ (DP) is completed. Furthermore, by using the variable velocity mapping technique of "stratified pseudo-well", the depth structural map of the top surface of the main sand body is compiled, which provides guidance for the horizontal well deployment and accurately implements the spatial distribution characteristics of the reservoir. Firstly, the phase analysis of seismic data is carried out to determine the applicability of phase shift processing, and then the multi-attribute intersection analysis is carried out by using well point drilling and sandstone thickness. The average amplitude attribute and fluid active seismic attribute with high coincidence rate with sandstone thickness are selected. Then geostatistical inversion based on wave impedance reconstruction and multi-attribute seismic inversion based on neural network are used to predict the distribution of sandstone quantitatively. The size of sand bodies in each sublayer is described quantitatively, and the five layers F 鈪，

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