Issue |
E3S Web Conf.
Volume 329, 2021
4th International Conference on Green Energy and Sustainable Development (GESD 2021)
|
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Article Number | 01029 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/e3sconf/202132901029 | |
Published online | 09 December 2021 |
Characteristics and potential area optimization of Oil layer A reservoir in T Oilfield
The Ninth Oil Production Plant of Daqing Oilfield Co., Ltd., Heilongjiang, China Daqing 163000 China
Oil layer A of T oilfield has a low development degree. At present, there are 5 medium and highyield wells in the area, showing a good evaluation and development prospect. In order to understand the reserve potential of this area, the reservoir forming law and reservoir characteristics are further analyzed by analyzing the structure and reservoir development characteristics. The research shows that Oil layer A has two types of reservoirs: one is structural reservoir, which is distributed in the large structural trap near the Aogula-Halahai fault zone in the east of the oilfield. It is characterized by close oil source, short migration path and stable reservoir development. It is a "large and enriched" reservoir. The other type is lithologic reservoir, which is distributed at the sedimentary end of the western structure of the oilfield, and is characterized by distant oil source. After long-distance secondary migration, it is greatly influenced by the development degree and physical properties of the reservoir, but it is a "small but fat" reservoir with high oil saturation. On the basis of clarifying reservoir types, characteristics and evaluation ideas, this paper carries out reserve optimization classification, and selects three potential areas: block Y1 and block Y2 which are mainly controlled by structure and block Y3 which is controlled by lithology.
Key words: T oil field / Oil layer A / Reservoir characteristics / Potential area optimization
© The Authors, published by EDP Sciences, 2021
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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