数据和知识的双重驱动,以减少石化物质的不确定性,并进行插值
Mengjiao Dou1, Shaohua Li2, Lunjie Chang3
1School of Geosciences, Yangtze University, Wuhan, 430100, China. doumj0302@163.com.
Scientific reports
|January 20, 2025
概括
本研究引入了一种数据和知识驱动的地质建模方法,以准确预测复杂的编织河流三角洲水库中的沙子分布. 该方法提高了地质建模的准确性,特别是在分散的区域.
科学领域:
- 地质建模地质建模
- 沉积盆地分析分析
- 储水池的表征 储水池的表征
背景情况:
- 编织的河流三角洲前面的水库对准确的沙子分布预测存在重大挑战,原因是复杂的沉积特征,如水下分布道和道堆叠.
- 预测这种异质水库中井间的沙子分布是有效的水库管理和碳化合物回收的关键挑战.
研究的目的:
- 开发和应用一种新的数据和知识驱动的地质建模方法,以改善复杂的编织河流三角洲水库中的沙子分布预测.
- 整合地质专业知识和多源地质科学数据,以加强道系统的空间特征.
主要方法:
- 采用数据和知识驱动的建模方法,利用地质知识数据库提取道规模信息.
- 应用了地质专业知识来解释道分布特征,然后在地质建模过程中用作条件数据.
- 该方法将专家知识与各种地质科学数据相结合,以改进空间预测.
主要成果:
- 拟议的方法成功获得了关于桑塔木油田道分布的准确和可靠的空间信息.
- 地质专业知识和数据的整合显著改善了水库内的道系统的表征.
- 这种方法在通过随机模拟来最大限度地减少井间预测中的不确定性方面被证明是有效的.
结论:
- 数据和知识驱动的建模方法为精确的复杂沉积物体3D地质建模提供了强大的框架,特别是在分散的区域.
- 这种方法提高了沙子分布的预测,这对于优化水库模拟和开发策略至关重要.
- 桑塔木油田的成功应用证明了该方法对全球类似水库类型的实用性.
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