Petroleum Reservoir Evaluation and Development >
2024 , Vol. 14 >Issue 2: 308 - 316
DOI: https://doi.org/10.13809/j.cnki.cn32-1825/te.2024.02.016
Dynamic and static feature identification method of complex buried hill reservoirs in Bohai and its application
Received date: 2023-06-30
Online published: 2024-05-07
The BZ oilfield in Bohai, known for its buried hill carbonate reservoir, is currently in the middle to late stages of development. The reservoir is characterized by strong heterogeneity and a complex distribution of fractures and vugs, leading to challenges such as complicated production behavior, rapidly declining output, and significant discrepancies in the estimation of dynamic and static reserves. To address these issues, a comprehensive set of criteria for identifying different types of carbonate reservoirs in the oilfield was developed. This was based on conventional well log data, thin section analyses, limited core data, and information from well tests and production characteristics. The reservoirs were categorized into three main types: fracture, fracture-vuggy, and porous. A detailed three-dimensional numerical well-testing model was created to accurately predict high-quality reservoir zones. This model took into account the reservoir's horizontal and vertical heterogeneity, allowing for precise delineation and assessment of the reservoir boundaries and connectivity in complex wells. It also facilitated a more accurate evaluation of the dynamic reserves and confirmed the oil and gas potential in the submerged mountains at the boundary of the Archaean group. This comprehensive approach laid the groundwork for devising strategic adjustments during the latter stages of the oilfield's development. It guided field modifications aimed at maximizing the reservoir's potential, ultimately leading to validated high production outcomes.
Jianli YAN , Chao LI , Dong MA , Zhuo LI , Peng WANG . Dynamic and static feature identification method of complex buried hill reservoirs in Bohai and its application[J]. Petroleum Reservoir Evaluation and Development, 2024 , 14(2) : 308 -316 . DOI: 10.13809/j.cnki.cn32-1825/te.2024.02.016
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