影响低序级断层识别精度因素的地震正演定量研究

Quantitative study of seismic forward modeling affecting the accuracy of low-order fault identification

复杂断块油藏是胜利油田勘探开发的重要油气藏类型,储量产量均占三分之一,随着勘探和开发程度的提高,低序级断层识别描述技术是目前该类油气藏钻探成功的关键制约因素.影响低序级断层识别描述精度的影响因素也较为复杂,但对复杂断块油田剩余油分布研究和提高油气采收率具有重要意义.目前,尚没有文献开展低序级断层定量识别特征研究.本文针对低序级断层定量识别方面开展了大量研究,在分析研究区地质特点的基础上,分别针对埋藏深度、速度结构、地震子波主频、信噪比、断面倾角、地层产状、地层和断面的夹角等影响低序级断层识别精度的因素,设计了不同类型的低序级断层地质模型,利用波动方程正演模拟了低序级断层的地震响应特征,建立了5种低序级断层定量识别模板,拟合了2条综合曲线图,实现了影响低序级断层识别精度因素的地震正演定量研究,创新形成了一套完整的影响低序级断层识别精度的定量分析方法.由于以上因素引起的低序级断层同相轴的不同变化,为低序级断层的有效定量解释打下了坚实基础,为低序级断层地震描述技术研究提供了有益指导.

Complex fault block reservoirs are important reservoir types for exploration and development in Shengli Oilfield, with reserves accounting for one-third of the reserves. With the increase of exploration and development level, the low-order fault identification and description technology is currently successful in drilling such reservoirs. Key constraints. The influencing factors affecting the accuracy of low-order fault identification description are also complex, but it is of great significance for the study of residual oil distribution and oil recovery in complex fault block oilfields. At present, there is no literature on the characteristics of quantitative identification of low-sequence faults. In this paper, a lot of researches have been carried out on the quantitative identification of low-sequence faults. Based on the analysis of the geological characteristics of the study area, the burial depth, velocity structure, seismic wavelet main frequency, signal-to-noise ratio, section inclination angle, stratum occurrence, stratum are respectively studied. Different factors affecting the accuracy of low-order fault identification, such as the angle of the section, and different types of low-order fault geologic models are designed. The wave equations are used to simulate the seismic response characteristics of low-order faults, and five low-orders are established. The quantitative identification template of faults is fitted, and two comprehensive curves are fitted. The quantitative analysis of seismic forward modeling affecting the accuracy of low-order fault identification is realized. The innovation has formed a complete quantitative analysis method that affects the accuracy of low-order fault identification.. Due to the above factors, the different changes of the low-sequence faults in the same phase axis have laid a solid foundation for the effective quantitative interpretation of low-sequence faults, which provides useful guidance for the study of low-sequence fault seismic description techniques.