Potential Methods and Geoinformation Systems

Hans-Jürgen Götze ()
Additional contact information
Hans-Jürgen Götze: Christian-Albrechts-Universität zu Kiel, Institut für Geowissenschaften, Geophysik

A chapter in Handbook of Geomathematics, 2015, pp 3105-3129 from Springer

Abstract: Abstract Geophysical methods “gravity” and “magnetic” belong to potential methods together with geoelectrics. This chapter focuses on gravity and magnetic methods. Their fields can be described by Laplace and Poisson differential equations – if the observation is taken outside or inside the masses. Potential fields were defined to attribute vector fields to scalar fields, because the mathematical treatment of scalar fields is numerically easier. Gravity and magnetic exploration can help to locate faults, mineral or petroleum resources, and groundwater reservoirs. The interpretation of gravity and magnetic fields and their respective anomalies is not unique, and boundary conditions are always required. Geoinformation systems can help to overcome the ambiguity of potential methods and support integrated modeling of potential fields by allocation of boundary conditions, data/information fusion, and advanced visualization at different scales. These systems should help to facilitate 3D interpretation (even 4D), which bases on data from multiple sources. 3D potential field forward modeling and inversion, visualization, and metadata handling facilitate interdisciplinary interpretation crossing the field of geophysics and geoinformatics.

Keywords: Potential Field; Salt Dome; Common Object Request Broker Architecture; Magnetic Vector Potential; Voxel Model (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-54551-1_52

Ordering information: This item can be ordered from
http://www.springer.com/9783642545511

DOI: 10.1007/978-3-642-54551-1_52

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().