Hole permeability parameter prediction method based on rock core micro-CT image

The invention discloses a hole permeability parameter prediction method based on a rock core micro-CT image. According to the method, based on the rock core micro-CT image, a surface mesh and a volumemesh of a rock core pore structure are generated through Mimics software and ICEM software respectiv...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: WANG YAO, PENG JIAYUN, SONG RUI, LIU JIANJUN, TIAN JUN, ZHENG LIFU, CUI MENGMENG
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The invention discloses a hole permeability parameter prediction method based on a rock core micro-CT image. According to the method, based on the rock core micro-CT image, a surface mesh and a volumemesh of a rock core pore structure are generated through Mimics software and ICEM software respectively; a micron-scale pore non-structured mesh model is built; and the model is imported into Fluentsoftware to carry out micro-flow numerical simulation, so that the porosity, the permeability and relative permeability curve data which are better matched with an experimental result are obtained. Compared with a traditional rock core indoor test, the method is low in cost and short in test period, and a comparison simulation experiment can be carried out by utilizing the generated mesh model. 本发明公开了种基于岩心微CT图像的孔渗参数预测方法。该方法以岩心微CT图像为基础,通过Mimics和ICEM软件分别生成岩心孔隙结构的表面网格与体网格,从而建立微米级孔隙非结构化网格模型,并将其导入Fluent软件进行微观流动数值模拟,获得了与实验结果吻合较好的孔隙度、渗透率和相对渗透率曲线数据。该方法与传统岩心室内试验相比,成本低,试验周期短,且可以利用所生成的网格模型开展对比模拟实验。