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New Method for Calculating Dynamic Reserves in Fault-controlled Volatile Oil Reservoirs and Analysis of Key Controlling Factors
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Hui-hui LI1, Dong-mei LI2, Sheng-wen MEI3, Xiao-yong WAN4, Ning ZOU4
Science Technology and Engineering | 2025, 25(9) : 3657 - 3663
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Science Technology and Engineering | 2025, 25(9): 3657-3663
Papers·Petroleum and Natural Gas Industry
New Method for Calculating Dynamic Reserves in Fault-controlled Volatile Oil Reservoirs and Analysis of Key Controlling Factors
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Hui-hui LI1, Dong-mei LI2, Sheng-wen MEI3, Xiao-yong WAN4, Ning ZOU4
Affiliations
  • 1 Completion Test Management Center, Sinopec Northwest Oil Field Company, Luntai 841600, China
  • 2 Engineering Technology Management Department, Sinopec Northwest Oil Field Company, Urumqi 830000, China
  • 3 No. 4 Oil Production Plant, Sinopec Northwest Oil Field Company, Shaya 842200, China
  • 4 Petroleum Engineering Technology Research Institute, Sinopec Northwest Oil Field Company, Urumqi 830000, China
Published: 2025-03-28 doi: 10.12404/j.issn.1671-1815.2402994
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The geological conditions of fault-controlled carbonate volatile oil reservoirs in Shunbei oilfield and the relationship between production wells are complex, and conventional methods have poor applicability in calculating dynamic reserves. Considering that the reservoir has the characteristics of fracture and cavity development, multi-phase seepage and inter-well interference, a volatile oil reservoir pseudo-pressure function was proposed and the functional relationship between saturation and pressure was given. The multi-phase flow material balance well group dynamics of the volatile oil reservoir material balance theory were established. The proposed method utilizes bottomhole flow pressure to calculate dynamic reserves, while there is no need for static pressure testing in the well group. The results show that the multiphase flow material balance equation describes the linear relationship between oil production rate and cumulative production. A partial correlation analysis was conducted on the main controlling factors of the well group’s dynamic reserves, and it was concluded that the main factors affecting the production dynamic characteristics are average oil production, production decline rate and formation energy. Quantitatively evaluate the impact of errors in important parameters of the formation and fluid on the calculation results of dynamic reserves. It is believed that the compression coefficient and porosity of the formation have a great influence on the accuracy of dynamic reserve calculations. The well group dynamic reserve calculation method was applied to a typical well group in the Shunbei oilfield, and the dynamic reserve decrease in the calculation results of a single well was compared to quantify the decrease in dynamic reserves in the Shunbei oilfield due to inter-well interference. The method can accurately calculate the dynamic reserves of well groups in the Shunbei fault-controlled volatile oil reservoirs.

light oil reservoir  /  multi-well interference  /  material balance  /  reserve estimate  /  parameter optimization
Hui-hui LI, Dong-mei LI, Sheng-wen MEI, Xiao-yong WAN, Ning ZOU. New Method for Calculating Dynamic Reserves in Fault-controlled Volatile Oil Reservoirs and Analysis of Key Controlling Factors[J]. Science Technology and Engineering, 2025 , 25 (9) : 3657 -3663 . DOI: 10.12404/j.issn.1671-1815.2402994
Year 2025 volume 25 Issue 9
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Article Info
doi: 10.12404/j.issn.1671-1815.2402994
  • Receive Date:2024-04-23
  • Online Date:2025-07-09
  • Published:2025-03-28
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History
  • Received:2024-04-23
  • Revised:2024-12-11
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Affiliations
    1 Completion Test Management Center, Sinopec Northwest Oil Field Company, Luntai 841600, China
    2 Engineering Technology Management Department, Sinopec Northwest Oil Field Company, Urumqi 830000, China
    3 No. 4 Oil Production Plant, Sinopec Northwest Oil Field Company, Shaya 842200, China
    4 Petroleum Engineering Technology Research Institute, Sinopec Northwest Oil Field Company, Urumqi 830000, China
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表12种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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