重力形状的解释,应用一个超启发性粒子优化算法,对由有限元素类似的矿化物体进行解释
Khalid S Essa1,2, Eid R Abo-Ezz3, Yves Géraud2
1Geophysics Department, Faculty of Science, Cairo University, Giza, P.O. 12613, Egypt.
Heliyon
|May 29, 2024
概括
粒子优化算法准确地解释了用于矿产勘探的重力异常. 这种方法有效地识别了地下目标,即使有噪音数据,在地质调查中也可靠.
科学领域:
- 地质物理学 地质物理学
- 矿产勘探 矿产勘探 矿产勘探 矿产勘探
- 计算方法 计算方法
背景情况:
- 重力异常的解释是识别地下矿物化的目标的关键.
- 了解密度变化对于区分目标与周围结构至关重要.
- 简单的几何体通常用于模拟矿石和矿物目标.
研究的目的:
- 应用粒子优化算法来解释重力异常.
- 为了确定埋葬尸体的参数,模拟为有限的垂直圆柱体.
- 评估算法在矿产勘探环境中的有效性.
主要方法:
- 利用粒子优化算法,一种全球的元启发方法.
- 推断引力异常配置文件以确定身体参数 (例如,深度,长度).
- 评估了不同噪声水平 (0%,5%,10%) 的合成数据和加拿大实际矿产勘探数据集的性能.
主要成果:
- 粒子优化算法证明了稳定性和准确性.
- 噪音和多模型场景对性能没有影响.
- 来自加拿大矿产勘探案例研究的结果与现有的地质和钻井数据保持一致.
结论:
- 粒子优化算法是矿产勘探中的重力数据分析的强大工具.
- 该方法可靠地识别地下目标,即使存在噪音.
- 算法的发现与已建立的地质信息和先前的研究相一致.
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