基于水平井资料进行地质建模的大数据误区分析与应对策略

发布时间：2018-03-24 08:52

本文选题：水平井　切入点：地质建模　出处：《石油勘探与开发》2017年06期

【摘要】：以委内瑞拉奥里诺科重油带MPE3油田为例,在分析水平井信息特征的基础上,对比了直井和水平井数据分布和变差函数的差异,针对将水平井信息直接应用于地质建模中产生的大数据误区,提出了相应的建模策略。研究表明由于研究区水平井具有数据信息量大、井轨迹方向性强、砂岩钻遇率高的特点,造成了不符合地质认识的变差函数分析结果,进而在沉积微相和储集层物性建模以及概率储量预测上产生误区。建模时首先采用直井信息对分流河道砂体分布进行变差函数分析,通过沉积相控、地震约束的方法建立岩相框架;再利用水平井信息反映储集层内部非均质性精度高的特点,结合直井信息进行泥质隔夹层的变差函数分析,建立相应的储集层岩相精细模型;最后建立储集层物性模型,并分井区计算地质储量。该建模策略能够真实反映地质特征,且有效提高了井间砂体预测的精度,增强了储集层地质模型的可靠性。
[Abstract]:Taking the MPE3 oil field of Orinoco heavy oil belt in Venezuela as an example, on the basis of analyzing the information characteristics of horizontal wells, the differences of data distribution and variation function between vertical wells and horizontal wells are compared. In view of big data's misunderstanding caused by the direct application of horizontal well information in geological modeling, the corresponding modeling strategy is put forward. The research shows that the horizontal well in the study area has the characteristics of large amount of data information, strong direction of well trajectory and high drilling probability of sandstone. The result of the analysis of variation function which does not accord with the geological understanding, In the modeling of sedimentary microfacies and reservoir physical properties and the prediction of probabilistic reserves, the variation function of distributary channel sand body is analyzed by using vertical well information, and the sedimentary facies is used to control the distribution of sand body. The seismic constraint method is used to establish the lithofacies framework, the horizontal well information is used to reflect the high accuracy of heterogeneity in the reservoir, and the variation function of the muddy intercalation is analyzed in combination with the vertical well information, and the corresponding fine reservoir lithofacies model is established. Finally, the reservoir physical property model is established, and the geological reserves are calculated by dividing the well areas. The modeling strategy can reflect the geological characteristics, improve the prediction accuracy of the cross-well sand bodies and enhance the reliability of the reservoir geological model.
【作者单位】：中国石油勘探开发研究院;西安石油大学;
【基金】：国家科技重大专项“大型油气田及煤层气开发”(2016ZX05031-001)
【分类号】：P628.3;TE355.6

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