使用电区指示器和基于多分辨率图的集群方法提高碳酸盐储水中的形成电阻率
Milad Mohammadi1, Mohammad Emami Niri2, Abbas Bahroudi1
1School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Scientific reports
|August 21, 2025
概括
本研究将多分辨率图形基集群 (MRGC) 与电区指标 (EZI) 方法相结合,以提高复杂碳酸盐水库的形成电阻因子 (FRF) 预测. 这种新方法显著提高了岩石类型的准确性和水库的特征.
科学领域:
- 石油地质科学
- 水库工程
- 地球科学中的数据科学
背景情况:
- 碳酸盐水库表现出复杂的孔隙结构,导致分散形成电阻因子 (FRF) 和孔隙性数据,使水库的特征复杂化.
- 传统方法和电气区域指标 (EZI) 在减少数据变化和实现高分辨率岩石类型方面存在局限性,特别是关于凝固因子和孔径相互作用.
研究的目的:
- 提高复杂碳酸盐水库中形成电阻因子 (FRF) 预测的准确性.
- 通过将先进的集群与电气方法相结合,提高岩石类型分辨率和水库特征.
主要方法:
- 应用严格的数据预处理,包括深度转移,净化和主要组件分析 (PCA),以记录来自三个井的数据.
- 集成多分辨率基于图表的聚类 (MRGC) 采用电气区域指示器 (EZI) 岩石类型的方法.
- 使用MRGC确定了五种不同的电面,并重新计算了关键的石质参数 (曲率系数"a"和凝固指数"m").
主要成果:
- 整合MRGC与EZI显著提高了FRF预测的准确性,将确定系数 (R2) 从0.924提高到0.974.
- 重新计算的石化物理参数 (a 和 m) 与碳酸盐构成的既定范围非常一致.
- 改进的工作流提供了更准确的石质变异性表现和更高的岩石分类精度.
结论:
- 综合MRGC-EZI方法提供了一个强大的框架来描述复杂碳酸盐储存中的地下异质性.
- 这种整合为复杂碳酸盐储库的分类建立了新的基准,从而实现了碳化合物回收的优化和可靠的流体流量预测.
- 这项研究证明了先进的集群技术与电气岩石类型结合起来,可以改善水库管理的价值.
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