Research Article
Numerical Simulation of Remaining Oil Distribution Based on Oil Field Data Analysis
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@INPROCEEDINGS{10.1007/978-3-030-51100-5_33, author={Guo-qiang Cui and Chang-jun Diao and Qiang Zhang and Ji-gang Zhang and Jia-bei Ye}, title={Numerical Simulation of Remaining Oil Distribution Based on Oil Field Data Analysis}, proceedings={Multimedia Technology and Enhanced Learning. Second EAI International Conference, ICMTEL 2020, Leicester, UK, April 10-11, 2020, Proceedings, Part I}, proceedings_a={ICMTEL}, year={2020}, month={7}, keywords={Data analysis Residual oil distribution Numerical simulation Data fitting}, doi={10.1007/978-3-030-51100-5_33} }- Guo-qiang Cui
Chang-jun Diao
Qiang Zhang
Ji-gang Zhang
Jia-bei Ye
Year: 2020
Numerical Simulation of Remaining Oil Distribution Based on Oil Field Data Analysis
ICMTEL
Springer
DOI: 10.1007/978-3-030-51100-5_33
Abstract
In view of the narrow data source range of traditional residual oil distribution numerical simulation, a numerical simulation method of residual oil distribution based on oilfield data analysis is studied. Firstly, the principle of big data was put forward to complete the collection and analysis of oilfield information. Then, the three-dimensional simulation model of oilfield was designed by haiyan software. Then, the grid structure of oilfield saturation setting model was divided. By comparing the range of data sources, it is verified that the proposed numerical simulation method can effectively extend the range of data sources and improve the accuracy of numerical simulation.
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