MULTI-COMPONENTS SEISMIC JOINT ATTRIBUTES ANALYSIS AND HYDROCARBON IDENTIFICATION IN TERRESTRIAL INTERBEDDED THIN RESERVOIR
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摘要: 多波多分量地震能同时得到纵波和转换横波数据资料,所提供的地震信息也成倍地增加。由于岩性和流体的敏感性在纵波、转换横波特征上的差异,二者的地震属性参数出现不同的异常反映;因此,研究纵、横波联合属性的相对变化,可以降低单一纵波属性分析的多解性,得到更为可靠的地下岩性和流体变化的信息。在利用模型正演方法进行纵波、转换横波联合属性理论模拟基础上,对多波属性识别陆相薄互层油藏的可行性、可靠性进行分析,以指导实际资料的应用,在胜利油田垦71区块薄互层砂岩储层及油气预测中取得了较好的应用效果。Abstract: Multi-components seismic survey receives P-wave and P-SV converted wave data simultaneously, and the seismic information received are doubled. P-wave and P-SV converted wave have different sensitivity to lithology and fluid that causes seismic attribute anomalies. Therefore, by studying the joint attributes of P-wave and P-SV wave, ambiguity in simple P-wave interpretation will be reduced, and more reliable litholgy and fluid information obtained. Using Multi-components forward modeling of seismic data, the paper discussed the feasibility and reliability of hydrocarbon identification by multi-components seismic joint attributes in terrestrial interbedded thin reservoir in the Ken 71 area of the Shengli oilfield. The results are proved useful for oil and gas prediction.
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