重庆科技学院学报（自然科学版）2023，Vol.25Issue(6)：23-27,5.
基于原油性质和储层品质的产能预测方法
Productivity Prediction Method Based on Crude Oil Property and Reservoir Quality
王士新 1刘厚武 2赵德丽1
作者信息
- 1. 中海油能源发展股份有限公司,天津 300459
- 2. 中国石油测井公司国际公司,北京 102206
- 折叠
摘要
Abstract
Well productivity varies in different wells of lower Urho reservoir in Ma 2 well block of Mahu Depression.Based on the influence of crude oil properties and reservoir types of Lower Urho formation,a productivity prediction chart is established in order to accurately predict the productivity of this well area.According to the density and vis-cosity of crude oil,the crude oil in the study area is divided into three types:type I is low viscosity and low density crude oil,type II is medium quality crude oil,and type III is high viscosity and high density crude oil.Different types of crude oil can be effectively identified by resistivity curves.According to the reservoir physical characteris-tics,pore structure and sedimentary characteristics,the reservoirs are divided into three types:the first and second type of reservoirs that are different in the reservoir thickness are mainly traction current deposits while the third type of reservoirs whose physical properties and thickness are poor are dominated by gravity flow deposition.Based on the crude oil and reservoir types,a model is established to predict the productivity.The results show that productiv-ity is best when type I of crude oil matches the first type of reservoir.关键词
玛2井/原油分类/敏感曲线/储层分类/产能预测Key words
Ma 2 well/types of crude oil/sensitive curve/types of reservoir/productivity predication分类
天文与地球科学引用本文复制引用
王士新,刘厚武,赵德丽..基于原油性质和储层品质的产能预测方法[J].重庆科技学院学报（自然科学版）,2023,25(6):23-27,5.
