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Refracturing candidate selection for MFHWs in tight oil and gas reservoirs using hybrid method with data analysis techniques and fuzzy clustering

基于数据分析与模糊聚类的致密油气藏水平井重复压裂选井混合方法

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Abstract

The selection of refracturing candidate is one of the most important jobs faced by oilfield engineers. However, due to the complicated multi-parameter relationships and their comprehensive influence, the selection of refracturing candidate is often very difficult. In this paper, a novel approach combining data analysis techniques and fuzzy clustering was proposed to select refracturing candidate. First, the analysis techniques were used to quantitatively calculate the weight coefficient and determine the key factors. Then, the idealized refracturing well was established by considering the main factors. Fuzzy clustering was applied to evaluate refracturing potential. Finally, reservoirs numerical simulation was used to further evaluate reservoirs energy and material basis of the optimum refracturing candidates. The hybrid method has been successfully applied to a tight oil reservoir in China. The average steady production was 15.8 t/d after refracturing treatment, increasing significantly compared with previous status. The research results can guide the development of tight oil and gas reservoirs effectively.

摘要

重复压裂选井是油藏工程师面临的一项重要的工作. 然而, 影响重复压裂选井的因素众多, 且关系复杂, 在不同程度上影响重复压裂效果, 使得重复压裂选井十分困难. 本文提出了一种新的结合数据分析技术和模糊聚类的重复压裂井混合方法. 首先, 利用数据分析技术计算不同影响因素的权重因子, 明确影响压裂效果的关键因素. 其次, 提出了新的理想重复压裂井概念, 利用模糊聚类方法评价候选井重复压裂潜力, 并结合油藏数值模拟方法进一步评价最优重复压裂井的地层能量和物质基础. 该混合方法成功地应用于中国致密油气藏重复压裂选井, 实现了候选井重复潜力等级划分与优先排序. 单井重复压裂后生产效果大幅度提高, 稳定日产油量 15.8 t. 研究成果对致密油气藏高效开发有重要指导作用.

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Authors and Affiliations

  1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, 610500, China

    Liang Tao  (陶亮), Jian-chun Guo  (郭建春) & Zhi-hong Zhao  (赵志红)

  2. Dagang Oilfield, Tianjin, 300000, China

    Qi-wu Yin  (阴启武)

Authors
  1. Liang Tao  (陶亮)
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  2. Jian-chun Guo  (郭建春)
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  3. Zhi-hong Zhao  (赵志红)
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  4. Qi-wu Yin  (阴启武)
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Corresponding author

Correspondence to Liang Tao  (陶亮).

Additional information

Foundation item: Projects(51204054, 51504203) supported by the National Natural Science Foundation of China; Project(2016ZX05023-001) supported by the National Science and Technology Major Project of China

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Tao, L., Guo, Jc., Zhao, Zh. et al. Refracturing candidate selection for MFHWs in tight oil and gas reservoirs using hybrid method with data analysis techniques and fuzzy clustering. J. Cent. South Univ. 27, 277–287 (2020). https://doi.org/10.1007/s11771-020-4295-0

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  • DOI: https://doi.org/10.1007/s11771-020-4295-0

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