叠前地震属性在储层预测及油气检测中的方法研究
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摘要
基于叠前地震属性在储层预测及油气预测中的应用日益广泛,本文选择现在发展较为成熟的AVO技术,研究叠前道集上地震反射振幅随炮检距的变化特征。充分挖掘和利用叠前地震记录中的非零偏移距地震信息,拾取叠前属性特征,为储层预测提供更加丰富、可靠的依据。
     本文主要分为三部分,第一部分首先介绍AVO技术的基础理论及岩石物理学基础,为AVO正演及属性分析奠定坚实的理论基础,并构建理论模型做AVO正演模拟,讨论不同类型的AVO异常。以典型的理论模型的AVO响应做参考,在实际工区的关键井上分析储层的岩性、物性,建立储层岩石物理模型,进行流体替换研究,分析复杂地质条件下油、气、水的AVO特征,建立相应的AVO检测标志,在实际地震记录中直接识别岩性及油气。并进行了薄层叠前反射地震响应正演及分析,研究了薄层厚度对叠前属性的影响。第二部分是利用AVO及FVO属性分析技术,合理地提取隐藏在地震信息中的岩性参数,并优选出对储层有利的属性。对截距、梯度、泊松比、流体因子等叠前属性,通过交汇分析技术检测出含气异常区。第三部分是应用叠前弹性波阻抗反演技术,详细说明了反演的基本思路。结合实际工区的岩石物理分析结果,进行弹性阻抗建模和反演,分析不同岩性、物性、含油气性的地震响应特征,研究有效储层的分布。
     本文以胜利油田某洼陷的叠前资料为例,应用本文的技术方法取得了一定的异常预测结果。这表明,本文的研究思路和分析方法对复杂地区的AVO分析研究有一定的积极意义。
Based on increasingly widespread applying pre-stack seismic attributes in reservoir prediction and hydrocarbon prediction, this paper chose AVO technology which has developed more maturely to study change characteristics of reflection amplitude versus offset on pre-stack seismic gathers. Fully digging and using the non-zero offset seismic information in pre-stack seismic records, and picking up pre-stack attribute characteristics provided more extensive and reliable basis for reservoir prediction.
     This paper is divided into three parts. The first introduced the basic theory of AVO technology and rock physics basis which can provide solid theoretical basis for AVO forward modeling and attribute analysis. Then theoretical models were constructed and AVO forward modeling was did to discuss the different types of AVO anomalies. Referring to the AVO response of typical theoretical models we analyzed lithologic characters and physical properties of reservoirs in the key well in the actual work area, established rock physics model of reservoirs, studied fluid replacement, analyzed AVO characteristics of oil, gas and water in complex geological conditions, created the corresponding AVO detection signs, and directly identified lithology and oil and gas in actual seismic records. Moreover forward modeling and analysis of pre-stack reflection seismic response of thin-layer was carried out, and pre-stack attributes on the impact of the thin-layer thickness were studied. The second part is that using AVO attribute analysis techniques, lithologic parameters hidden in seismic information were extracted reasonably, and the attributes that be favorable for reservoirs were optimized out. For the pre-stack attributes such as intercept, gradient, Poisson's ratio and fluid factors, gas anomaly was detected by using cross plot analysis techniques. The last part is that the pre-stack elastic impedance inversion techniques were applied, and the basic idea of the inversion was described in detail. Combined with the rock physics analysis of the actual work area, modeling and the elastic impedance inversion were done. Seismic response characteristics of different lithology, physical properties, oil and gas were analyzed to look for effective reservoir distribution.
     This paper took the pre-stack seismic data from some low-lying in Shengli Oilfield as an example, and application of technical methods of this article has made some abnormal predictions. This shows that the ideas and analysis methods of this research had some positive significance for applying AVO analysis to complex areas.
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