Study on CO2 Flooding Technology of Strong Water Sensitive Reservoir in Complex Fault Block Reservoir

Li, Yanjun; Deng, Yuhui; Huo, Li-feng; Hong, Hai-feng

doi:10.1007/978-981-19-2149-0_199

Cited by 2 publications

(1 citation statement)

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“…This approach helped establish the reservoir classification evaluation criteria. 11 Shasha et al conducted key single-factor evaluations of reservoir quality using storage coefficient, stratigraphic coefficient, and flow zone index and established corresponding reservoir classification criteria. 12 Li et al classified the reservoirs of a deepwater gas field in Hainan using flow unit index, providing an approach for reservoir evaluation and improving the interpretational accuracy of reservoir parameters to a certain extent.…”

Section: Introductionmentioning

confidence: 99%

Single-Factor Comprehensive Reservoir Quality Classification Evaluation─Taking the Hala’alat Mountains at the Northwestern Margin of the Junggar Basin as an Example

Pu,

Xie,

et al. 2023

ACS Omega

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In the process of petroleum geology exploration and development, reservoir quality evaluation is an essential component. However, conventional reservoir quality evaluation methods are no longer able to provide accurate and comprehensive assessments for all types of reservoirs. Therefore, the comprehensive evaluation of reservoir quality using multiple single factors is of significant importance in improving the level of reservoir quality assessment and enhancing the effectiveness of oil and gas exploration techniques. Conventional reservoir quality evaluation methods can assess only the quality of individual reservoir properties, resulting in limited classification outcomes. Taking the Cretaceous formations in the southern margin of the Hala’alat Mountain in the Junggar Basin as the research object, preliminary classification criteria were established based on the principles of formation coefficient, storage coefficient, and flow unit index. Combining experimental data such as core observation, thin-section identification, pore permeability analysis, and scanning electron microscopy, a comprehensive set of reservoir quality classification and evaluation criteria were developed. Furthermore, the corresponding reservoir classification evaluation maps were generated to illustrate the spatial distribution of reservoir quality. The study reveals that the area can be classified into four types of reservoirs, namely, Class I, Class II, Class III, and Class IV, corresponding to the best reservoir, relatively good reservoir, relatively poor reservoir, and poor reservoir, respectively. Among them, the second (K1 q 2) and third (K1 q 3) members of the Cretaceous Qingshuihe Formation, as well as the first (K1 h 1) and third (K1 h 3) members of the Cretaceous Hutubi Formation, exhibit the best reservoir quality as Class II. On the other hand, the second member of the Cretaceous Hutubi Formation (K1 h 2) exhibits the best reservoir quality as Class III, with relatively poorer reservoir quality overall. The research findings of this study can provide an important theoretical basis for oil and gas exploration and development in the region.

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Section: Introductionmentioning

confidence: 99%