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在探井资料有限的研究区,如何充分利用邻区的钻井、地震资料,对深层火山岩储集层作定量预测,本文结合实际对比做了有益的探讨,并形成了一套定量预测方法。在经过地质、地震可行性综合分析的前提下,先将有效趋势分析与机理分析相结合,选取特征地震参数,然后通过相关分析、校正等手段,将相邻测区地震资料相关信息作动态合并处理,再应用BP神经网络进行储层厚度预测。该方法在FS-9井区侏罗纪末期火山岩储集层厚度定量预测中,取得了令人满意的效果,经后验探井检验,符合很好。
In the limited exploration area, how to make full use of the drilling and seismic data in the adjacent area to quantitatively predict the deep volcanic reservoirs, this paper makes a useful discussion based on the actual comparison and forms a set of quantitative prediction methods. After the comprehensive analysis of geology and earthquake feasibility, combining the effective trend analysis with the mechanism analysis, the characteristic seismic parameters are selected, and then the related information of the seismic data in the adjacent survey areas is dynamically merged by means of correlation analysis and correction Processing, and then using BP neural network prediction of reservoir thickness. This method has achieved satisfactory results in the quantitative prediction of the thickness of volcanic reservoirs in the late Jurassic period in the FS-9 well. It is in good agreement with the post-test exploration test.