Issue |
E3S Web of Conf.
Volume 406, 2023
2023 9th International Conference on Energy Materials and Environment Engineering (ICEMEE 2023)
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|
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Article Number | 03005 | |
Number of page(s) | 6 | |
Section | Pollution Control and Ecosystem Management | |
DOI | https://doi.org/10.1051/e3sconf/202340603005 | |
Published online | 31 July 2023 |
Study on Characteristics of Phase Permeability Curve of Xingbei Development Zone During Extra High Water Cut Period
1 Northeast Petroleum University, Daqing Heilongjiang, China
2 Northeast Petroleum University, Daqing Heilongjiang, China
a e-mail: 2427433605@qq.com
b e-mail: yindaiyin@163.com.
The relative permeability curve is an important basic data for the preparation and dynamic analysis of oilfield development ( adjustment ) schemes. Due to the different types of relative permeability curves in different water cut stages, there is a large deviation in the prediction of oilfield development indexes in the ultra-high water cut stage according to the relative permeability curve in the early stage of development. In order to study the change of relative permeability curve in the development process, based on the analysis of the morphological characteristics of 118 relative permeability curves in the ultra-high water cut stage of 28 coring wells in Xingbei development area after more than 50 years of water injection development, the influence of injection multiple on the relative permeability curve, and the influence of long-term water injection development on the average pore radius, the changes of morphological characteristics and characteristic parameters of relative permeability curves after entering the ultra-high water cut stage were studied, and a correction method for the changes of oil phase and water phase of relative permeability curves according to the changes of relative permeability curves in different water cut stages was proposed to better reflect the changes of relative permeability curves in the whole process of water injection development. It provides a basis for accurately predicting the index of water injection development oilfield.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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