摘要
通过采用网格数据文件按列与分块随机存取技术,使得大数据量网格位场异常总梯度模的计算及数据极值点的自动搜索和连续追踪反演成为可能;提出自动搜索出总梯度模网格数据极大值点后沿异常走向方向连续追踪相邻极大值点串的做法,所获极值点串的连线能够更直观和有效地反映磁性或密度地质体与构造边界(或中心)的水平位置。经实用化改进研制的反演软件,其模型及实际数据计算均获得较好的预期效果。
With the direct access technique of a column or a block of grid data, it is possible for us to calculate the total gradient amplitude and to search automatically and trace continuously the maximum points of grid data in large quantities. In this paper, the authors put forward for the first time the idea of continuous tracing of a string of adjoining maximum points along the anomaly trend after automatic searching of a maximum point. The linking lines of the string of maximum points can show the horizontal sites of edges (or centers) of magnetic or gravity bodies and structures more directly and effectively. The practically improved software was used in inversion of model and surveying data, with fairly good results obtained.
出处
《物探与化探》
CAS
CSCD
2004年第6期518-522,共5页
Geophysical and Geochemical Exploration
基金
中国地质调查局科研项目资助
关键词
总梯度模
位场反演
实用化改进
随机存取
极值点串
自动搜索
连续追踪
total gradient amplitude
filed inversion
practical improvement, direct access, a string of maximum points, automatic search, continuous tracing
