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基于地震正演和属性分析技术预测河道砂体 被引量:15

Channel Sand Distribution Prediction Based on Seismic Forward Modeling and Attribute Analysis Technology
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摘要 松辽盆地南部R字井斜坡带泉四段属河流相沉积,储层为超低渗透储层,埋藏深,物性差,砂体薄,横向上变化快,优质储层位于河道主体部位。但由于受泉四段T_2强反射界面的影响,掩盖了下伏泉四段Ⅰ砂组储层的部分有效信息,从而加大了储层预测难度。通过建立不同围岩组合、不同砂体厚度的地震正演模型,明确了泉四段河道砂体与地震反射振幅、频率等属性的相关性。以地震沉积学的理论为依据,井震结合,重新解释砂体包络面,优选与河道砂体厚度变化相关性好的敏感属性,预测河道砂体储层展布规律。该方法对于薄层、非均质储层的预测具有较高的实用价值。 The Fourth Quan Member in R zone well slope belt of south Songliao Basin is ultra-low permeability reservoir, which is buried deep and is of poor physical property, thin sand body and quick horizontal changes. Its superior Reservoir of good quality is located in the principal part of the river. The effective signals of sand reservoirs I is shielded due to the influence of strong impedance interface of T2 at the Fourth Quan Member, so it is more difficult to predict the reservoir. Through seismic forward modeling of different surrounding rock combinations and different thickness of sand body, we discovered the correlation between the Fourth Quan Member channel sand bodies and attributes of seismic reflection amplitude, frequency and so on. Based on the theory of seismic sedimentology, and by combining well and seismic, we reinterpreted the sand body enveloping surface. The distribution rule of channel sand body reservoirs is predicted by the sensitive attributes, which has been optimized by the best correlation with thickness variation ofchanne! sand body. The method has higher practical value for thin and anisotropic reservoir prediction.
出处 《西南石油大学学报(自然科学版)》 CAS CSCD 北大核心 2013年第4期69-74,共6页 Journal of Southwest Petroleum University(Science & Technology Edition)
关键词 河道砂体 地震正演 地震沉积学 地震属性 储层预测 channel sand seismic forward modeling seismic sedimentology seismic attributes reservoir prediction
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