摘要
在石油和金属矿勘探中,相对于重力异常数据,航空重力梯度数据含有更多的高频信号成分,能更好的描述小的异常特征。为了得到地下异常体的真实重力梯度数据,需要全张量梯度测量数据中有效地去除飞机自身梯度值的影响。针对这一影响,提出线性的校正方法。考虑飞行姿态的改变引起的空间坐标系的变化,在校正过程中给出旋转矩阵和张量转换矩阵来实现坐标系的统一。通过模型实验分析了自身梯度值随姿态角变化情况,用实际梯度数据计算证明了该方法能够减小几个E的姿态误差,有效提高数据的精度。
In oil and mineral exploration,airborne gravity gradient data contain higher-frequency signals than gravity data,which can be used to delineate small-scale anomalies.In order to get true underground gravity gradient data,it is necessary to eliminate effectively the influence of self-gradient values from the full-tensor gradiometry data.Due to this,the authors proposed a linear correction method,considering the variation of the space coordinates system,gave rotation matrix and tensor transformation to realize the unification of the coordinate systems,and analyzed the influence to self-gradient values of attitude angles in model test.The actual data calculation proves that this method can reduce the attitude error in several Eotvos and can improve the data accuracy effectively.
出处
《世界地质》
CAS
CSCD
2014年第3期680-686,共7页
World Geology
基金
国家高技术研究发展计划(863计划)课题(2014AA06A613)
关键词
航空重力梯度测量
飞行姿态
旋转矩阵
张量转换
自身梯度值
airborne gravity gradiometry
flight attitude
rotation matrix
tensor transformation
self-gradient data
