To clarify the movement of the water flooding front in fluvial reservoirs, this research takes the BZ oilfield as an example. By considering the equivalent flow resistance theory for oil–water two-phase flow, the horizontal micro-element equivalent method and the strong heterogeneity of fluvial facies reservoir comprehensively, a calculation model for a non-piston water flooding front in a horizontal well pattern was established. First, five horizontal injection–production well groups in the BZ oilfield were taken as examples to calculate the water breakthrough time for the oil wells. The calculation results are in good agreement with the actual production performance. In detail, the advancing speed of the water flooding front in the high-permeability strip was 0.8–1.6 m/day, and the speed in the low-permeability strip was 0.12–0.35 m/day. When water is seen in the oil well, the advancing speed in the low-permeability strip is reduced, resulting in uneven displacement and the formation of non-dominant potential areas. In addition, the water flooding front advancing distance was simulated to be 300–450 m by establishing a reservoir numerical simulation model, which is close to the result of the proposed model, indicating that the calculation method is reliable. This research is of great significance for predicting the water breakthrough time of horizontal production wells, judging the weak affected area on the mainstream line, and optimizing water injection and tapping reservoir potential in good time.
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Research Article|
August 19, 2024
Research on the water flooding front based on dynamic and static data inversion – a case study
Peng Wang;
Peng Wang
*
1
Bohai Petroleum Research Institute, CNOOC Tianjin Branch
, Tianjin 300459, China
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Shangqi Zhai;
Shangqi Zhai
2
CNOOC Research Institute Co. Ltd
, Beijing 100029, China
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Hao Wu;
Hao Wu
1
Bohai Petroleum Research Institute, CNOOC Tianjin Branch
, Tianjin 300459, China
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Qiongyuan Wu;
Qiongyuan Wu
1
Bohai Petroleum Research Institute, CNOOC Tianjin Branch
, Tianjin 300459, China
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Jianli Yan
Jianli Yan
1
Bohai Petroleum Research Institute, CNOOC Tianjin Branch
, Tianjin 300459, China
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Peng Wang
*
1
Bohai Petroleum Research Institute, CNOOC Tianjin Branch
, Tianjin 300459, China
Shangqi Zhai
2
CNOOC Research Institute Co. Ltd
, Beijing 100029, China
Hao Wu
1
Bohai Petroleum Research Institute, CNOOC Tianjin Branch
, Tianjin 300459, China
Qiongyuan Wu
1
Bohai Petroleum Research Institute, CNOOC Tianjin Branch
, Tianjin 300459, China
Jianli Yan
1
Bohai Petroleum Research Institute, CNOOC Tianjin Branch
, Tianjin 300459, China
Publisher: Geological Society of London
Received:
30 May 2023
Revision Received:
23 May 2024
Accepted:
23 May 2024
First Online:
09 Jul 2024
Online ISSN: 2041-496X
Print ISSN: 1354-0793
Funding
- Funder(s):Research on Key Technologies for Potential Tapping in Bohai Shuanggao Oilfield
- Award Id(s): YXKY-2018-TJ-04
- Award Id(s):
© 2024 The Author(s). Published by The Geological Society of London for GSL and EAGE. All rights, including for text and data mining (TDM), artificial intelligence (AI) training, and similar technologies, are reserved
© 2024 The Author(s)
Petroleum Geoscience (2024) 30 (3): petgeo2023-061.
Article history
Received:
30 May 2023
Revision Received:
23 May 2024
Accepted:
23 May 2024
First Online:
09 Jul 2024
Citation
Peng Wang, Shangqi Zhai, Hao Wu, Qiongyuan Wu, Jianli Yan; Research on the water flooding front based on dynamic and static data inversion – a case study. Petroleum Geoscience 2024;; 30 (3): petgeo2023–061. doi: https://doi.org/10.1144/petgeo2023-061
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Index Terms/Descriptors
- Asia
- Bohai Sea
- Bohaiwan Basin
- case studies
- China
- directional drilling
- drilling
- equations
- Far East
- field studies
- fluid injection
- heterogeneous materials
- horizontal drilling
- injection
- models
- North Pacific
- Northwest Pacific
- oil-water interface
- Pacific Ocean
- permeability
- petroleum engineering
- physical properties
- reservoir properties
- seepage
- time factor
- two-phase models
- water
- waterflooding
- West Pacific
- Yellow Sea
- BZ Field
- water drive front model
- equivalent flow resistance theory
Latitude & Longitude
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