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重力异常资料的解释,甚至在物理或地质约束条件下得到的解集,都受基本的非唯一性的影响。因此,符合或是近似符合异常数据的单一解具有一定的价值。近年来人们努力去发展严格推导普遍适于全部可能解特性的反演技术。结果,Parker提出了理想物体的理论。这理论还表示出了最小可能的最大密度的极限解。重力理想体的分析是一种杰出的普查勘探工具,因为它很好的适用于处理有干扰的稀疏数据集,适用于寻找无限解集的有用的、严格的界限,也能很好地、精确地预测需要收集什么样的资料来缩小那些界限范围。我们提出了实用的三维重力理想体的计算程序IDB。用CRAY计算机,IDB可以优化多于IO~5个单元的网络。利用实际的重力资料,我们用IDB做出限制解集范围的权衡曲线,且通过对权衡曲线进一步应用地质和地球物理数据来显示如何限制解的界限。以与新墨西哥州的Rio Grande裂谷西侧的Lucero隆起有关的正异常的研究作为实例,我们比较了二维与三维理想体的结果。
Interpretation of gravity anomalies, and even solution sets obtained under physical or geological constraints, are subject to fundamental non-uniqueness. Therefore, a single solution that meets or approximates anomalous data is of some value. In recent years, efforts have been made to develop inversion techniques that rigorously deduce universally applicable features of all possible solutions. As a result, Parker proposed the theory of ideal objects. This theory also shows the limit solution of the smallest possible maximum density. The analysis of the ideal of gravity is an excellent census exploration tool because it is well suited for dealing with sparse data sets that have interference and is useful for finding useful, stringent limits for infinite solution sets, and for good, accurate Predict what information needs to be collected to narrow those boundaries. We propose a computational program IDB for a practical 3D gravity ideal. With a CRAY computer, IDB can optimize networks with more than 10 to 5 cells. Using the actual gravity data, we use the IDB to make a trade-off curve that limits the scope of the solution set and show how to limit the solution’s limits by further applying geophysical and geophysical data to the trade-off curve. Taking the positive anomaly related to the Lucero uplift to the west of the Rio Grande rift in New Mexico as an example, we compared the results of two-dimensional and three-dimensional ideals.