基于地质模型监督的灰质泥岩发育区砂岩储层预测方法
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赵约翰(1982—),男,河北唐山人,副研究员,从事油气勘探方面的研究工作。联系电话:13561025152,E-mail:zhaoyh447@sohu.com。

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A prediction method of sandstone reservoir in limy mudstone developmental area based on the geological model constraint
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    摘要:

    目前,岩性圈闭是济阳坳陷重要的增储领域,灰质泥岩的影响导致岩性圈闭描述准确率低,制约着该类油藏 的勘探部署。通过测量灰质泥岩的XRF微量元素,由X衍射全岩矿物等微观分析入手,对灰质泥岩岩相进行划分, 解决了灰质泥岩与砂岩难以区分的问题。通过不同岩性组合地质模型的地震反射特征正演模拟研究,明确了灰质 泥岩发育区不同岩性组合的地震反射特征及其与振幅和频率属性的差异。在不同岩性组合的地震内部反射结构 与外部几何形态的指导下,以地震多属性分析为基础开发基于地质模型监督的多属性神经网络波形分类技术,可 较好地预测灰质泥岩发育区砂岩储层有利相带。应用权值法相建模方法,并开发叠前地质统计学反演方法,精细 刻画灰质泥岩发育区砂岩储层的空间展布规律,钻井证实取得了较好勘探效果。

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    The lithology trap is an important area which can contribute to the petroleum reserve in Jiyang Depression presently. Due to the influence of the limy mudstone,the accuracy of the description of lithology trap is low,which limits its exploration deployment. Based on the XRF microelement measurements of limy mudstone and various methods of micro-analysis such as XRD whole rock mineral analysis,the lithofacies of limy mudstone were divided to solve the geological problem that limy mudstone and sandstone were difficult to distinguish. Through the forward modeling research of seismic reflection characteristics of different lithology combination models,the reflection characteristics of different lithology combinations and their amplitude and frequency differences were determined in the limy mudstone development area. And multi-attribute neural network waveform classification constrained by geological models was established based on multiple seismic attributes analysis and under the guidance of internal seismic reflection structure and external geometry,which can be used to predict the favorable facies belt in the limy mudstone development zone. A new prestack geostatistical inversion method that was constrained by static model was proposed by the application of the method of weighted facies modeling,which can be used to depict the spatial distribution of sandstone reservoir in the limy mudstone development zone. And good exploration result was achieved and proved by drilling.

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赵约翰.基于地质模型监督的灰质泥岩发育区砂岩储层预测方法[J].油气地质与采收率,2018,25(4):46~53

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  • 在线发布日期: 2018-06-04
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