西安石油大学学报（自然科学版）2024，Vol.39Issue(4)：62-67,107,7.DOI:10.3969/j.issn.1673-064X.2024.04.009
基于孔隙结构分形维数的水驱气藏见水井产能预测模型
Productivity Prediction Model for Water-Breakthrough Gas Wells in Water-flooding Gas Reservoirs Based on Fractal Dimension of Pore Structure
摘要
Abstract
Based on the percolation theory and fractal medium theory,a productivity prediction model for water-breakthrough gas wells in water-flooding gas reservoirs was established by utilizing the power function relationship between fractal dimension and phase permea-bility curve,taking into account the fractal dimension of pore structure and effective non-Darcy coefficient.Research shows that the pro-ductivity of the water-breakthrough gas wells increases with the increase of reservoir permeability and effective thickness,but the in-crease amplitude gradually slows down with the increase of permeability and effective thickness;With the increase of fractal dimension of reservoir pores,water-to-gas ratio,skin coefficient,and production fluid supply radius,the productivity significantly decreases.In the range of parameter values in this article,the reservoir permeability and effective thickness have the most significant impact on the pro-ductivity of the water-breakthrough gas wells,and are the main controlling factors for the production capacity.This model can accurately predict the productivity of the water-breakthrough gas wells in water-flooding gas reservoirs,thereby providing theoretical guidance and technical support for adjusting the production system of the gas wells,delaying water invasion of gas reservoirs,and improving the devel-opment effect of the gas reservoirs.关键词
产能模型/水驱气藏/分形维数/影响因素/产能试井Key words
productivity model/water-driven gas reservoirs/fractal dimension/influence factors/test of productivity分类
能源科技引用本文复制引用
孙双双,何勇明,邓美洲,牛娜,蒋燕聪,冯英..基于孔隙结构分形维数的水驱气藏见水井产能预测模型[J].西安石油大学学报（自然科学版）,2024,39(4):62-67,107,7.基金项目
国家自然科学基金资助项目"川南龙马溪组页岩干酪根中气水赋存特征与孔隙变形机理"(52204031) （52204031）
