常州大学学报（自然科学版）2024，Vol.36Issue(4)：37-45,9.DOI:10.3969/j.issn.2095-0411.2024.04.005
基于格子Boltzmann模型的裂缝性储层钻井液漏失数值模拟
Numerical simulation on drilling fluid loss in fractured carbonate reservoirs based on generalized lattice Boltzmann model
摘要
Abstract
Focusing on the drilling fluid loss in fractured carbonate reservoirs during drilling opera-tion,lattice Boltzmann mathematical model was proposed to characterize the drilling fluid loss in rep-resentative elementary volume(REV)scale based on simplified matrix-fracture dual-medium physical model.Velocity distribution in matrix-fracture system with drilling fluid loss was analyzed by numeri-cal simulation,and drilling fluid loss behavior in matrix-fracture dual-medium system was discussed under the different geological conditions.The simulation results showed that microfractures domina-ted the loss channels for fractured tight carbonate rocks.The loss rate of drilling fluid in matrix expo-nentially increased with increasing porosity at lower range.The increase in fracture width led to the increase in flow average velocity,making the velocity in the fractures more uniform.Additionally,un-der the condition of the same total fractures width,the lost circulation rate in matrix-fracture system consisting of only one single fracture was higher than that in multiple fractures-combined system.In this paper,the lattice Boltzmann method was introduced to characterize the drilling fluid loss,and the results indicated that drilling fluid loss in fractured reservoir and filtration process from fracture to tight matrix could be well characterized by this method.This work could provide the theoretical foun-dation for drilling fluid loss and formation damage prevention in fractured tight reservoirs.关键词
格子Boltzmann模型/裂缝性碳酸盐岩/钻井液漏失/数值模拟/表征单元体尺度/漏失速率Key words
lattice Boltzmann model/fractured carbonate reservoir/drilling fluid loss/numerical sim-ulation/representative elementary volume scale/lost circulation rate分类
能源科技引用本文复制引用
谭启贵,康毅力,宋付权,彭浩平,游利军..基于格子Boltzmann模型的裂缝性储层钻井液漏失数值模拟[J].常州大学学报（自然科学版）,2024,36(4):37-45,9.基金项目
2022年常州大学科研启动资助项目(ZMF22020070) （ZMF22020070）
四川省科技计划资助项目(2018JY0436). （2018JY0436）
