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2025, 11, v.55 133-141
非均质碎屑岩储层岩石物理建模——以蓬莱19-3油田为例
基金项目(Foundation): 国家自然科学基金重点项目(U23B20158)资助~~
邮箱(Email): zj515@ouc.edu.cn;
DOI: 10.16441/j.cnki.hdxb.20240339
投稿时间: 2024-10-29
投稿日期(年): 2024
终审时间: 2025-01-06
终审日期(年): 2025
审稿周期(年): 2
发布时间: 2025-10-27
出版时间: 2025-10-27
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摘要:

针对蓬莱19-3油田馆陶组储层复杂的孔隙结构与显著的非均质性问题,本文提出了一种基于微分等效介质模型(DEM)的岩石物理建模与优化方法。该方法与常规DEM建模方法不同的是采用变化的孔隙纵横比参数,以纵波速度作为约束条件,通过模拟退火算法进行孔隙纵横比参数的反演与优化,显著提升了复杂储层的预测精度。利用该方法,对工区3口井的储层段进行了高精度岩石物理建模,所预测纵波速度与测井曲线吻合,相比固定参数模型,预测误差显著缩小。反演得到的高精度孔隙纵横比参数揭示了不同井位下储层结构的非均质性及其对储层特性的影响。后续研究可构建适用于蓬莱19-3油田的岩石物理模板,从而优化该区域储层的弹性特性分析,提升勘探与开发效率和精度。

Abstract:

Addressing the complex pore structure and significant heterogeneity of the Guantao Formation reservoir in the Penglai 19-3 oilfield, this paper proposes a rock physics modeling and optimization method based on the Differential Effective Medium(DEM) model. Unlike conventional DEM modeling methods, this approach incorporates variable pore aspect ratio parameters and uses P-wave velocity as a constraint. By utilizing a simulated annealing algorithm, the pore aspect ratio parameters are inverted and optimized, significantly improving the prediction accuracy for complex reservoirs. This method was applied to three wells in the study area, achieving high-precision rock physics modeling. The predicted P-wave velocities closely match the well-log curves, with a significant reduction in prediction errors compared to fixed-parameter models. The high-precision pore aspect ratio parameters obtained through inversion reveal the heterogeneity of reservoir structures at different well locations and their impact on reservoir properties. Future research can develop rock physics templates applicable to the Penglai 19-3 oilfield, optimizing the analysis of elastic properties in the region and enhancing the efficiency and accuracy of exploration and development.

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基本信息:

DOI:10.16441/j.cnki.hdxb.20240339

中图分类号:P618.13;TE311

引用信息:

[1]程若丹,张进.非均质碎屑岩储层岩石物理建模——以蓬莱19-3油田为例[J].中国海洋大学学报(自然科学版),2025,55(11):133-141.DOI:10.16441/j.cnki.hdxb.20240339.

基金信息:

国家自然科学基金重点项目(U23B20158)资助~~

投稿时间:

2024-10-29

投稿日期(年):

2024

终审时间:

2025-01-06

终审日期(年):

2025

审稿周期(年):

2

发布时间:

2025-10-27

出版时间:

2025-10-27

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