生物灰岩油藏裂缝识别与分布预测
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中国地质大学北京能源学院

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TE19

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国家自然科学基金项目(面上项目,重点项目,重大项目)企业创新发展联合基金项目“海相深层油气富集机理与关键工程技术基础研究”


Fracture identification and distribution prediction in biological limestone reservoirs
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School of Energy Resources,China University of Geosciences Beijing

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    摘要:

    裂缝型生物灰岩油藏储层具有结构复杂、非均质性强和双孔隙网络特征等问题,导致缺乏针对生物灰岩的裂缝识别技术方法,因此认识和评价该类储层的裂缝发育情况是一大难题。本文以W油田为例,在岩心资料、CT扫描、铸体薄片和常规测井曲线、FMI成像等多种资料的基础上,构建裂缝型储层预测模型:通过岩心照片、薄片和CT对比识别出“微”裂缝,总结不同产状裂缝的双侧向电阻率测井响应特征,根据电阻率幅差较大等明显特征发现生物灰岩相发育微裂缝;构建BP人工神经网络,划分单井裂缝型储层;采用综合概率指数法实现全区裂缝储层分布预测。对比总结裂缝发育处与不发育处油气产量特点,为裂缝发育与油气产量的关系研究提供理论依据。

    Abstract:

    Fractured biological limestone reservoirs are characterized by structural complexity, strong inhomogeneity, and dual pore networks,resulting in a lack of technical methods for fracture identification for biological limestone, so it is a big problem to recognize and evaluate the fracture development of this type of reservoir. In this paper, taking W oilfield as an example, based on various data such as core data, CT scanning, injecting thin sections conventional logging curves and FMI imaging, fracture reservoir prediction models were constructed: through the comparison of the core photo, thin section and CT, the "micro" fracture was identified, then the response characteristics of dual laterolog for different production fractures were summarized and microfractures could be found in the biological limestone phase of the research section according to the large difference in the amplitude of the electrical resistivity; by constructing a BP artificial neural network, the single-well fractured reservoirs were delineated; by the comprehensive probabilistic index approach to realize the prediction of the distribution of cracked reservoirs in the whole region. The characteristics of oil and gas production at the fracture development and non-development places were compared and summarized, which provides theoretical basis for the research on the relationship between fracture development and oil and gas production.

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余星辰,康志宏,李嘉奇,等. 生物灰岩油藏裂缝识别与分布预测[J]. 科学技术与工程, , ():

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  • 收稿日期:2023-11-11
  • 最后修改日期:2024-06-03
  • 录用日期:2024-06-08
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