Data Enhancement Techniques

Course Module: PF 116 – Optimum Profile


What is an optimal profile and how should an interpreter select one? Selecting the optimal profile is one of the most important initial steps in 2D modelling and depth estimation. By making a proper selection you can make sure the parameters resulting from your calculations have not been distorted. In most cases the optimal profile to analyze is normal to the strike of an anomaly [...]

Course Module: PF 117 – Reduction-to- Pole


The shape of a magnetic anomaly depends on a number of factors: Geologic structure (faults, anticlines, synclines, etc.) Magnetic Lithology (magnetite content, presence of remnant magnetization) The earth's ambient magnetic field (Inclination, Declination & Magnitude) The earth's ambient or reference magnetic field varies continuously. Short term (minutes to days) variations are accounted for and removed during acquisition and processing of magnetic surveys. Across the surface [...]

Course Module: PF 118 – Data Enhancement Techniques


Broad-spectrum of complex information is prevalent in all geophysical datasets. The information reflects the physical effects of all cultural and geological sources. Geophysical interpreters have been utilizing data enhancement techniques to: a) effectively remove unwanted cultural components from the data, and b) efficiently preserve the valuable information pertaining to shallow and buried geological features. Learning Objectives: After completing this Module, you will be able to: [...]

Course Module: PF 119 – Residualization


In general, the term "residual" refers to a quantity left over at the end of a process or in scientific terms the difference between an observed field and a calculated field. To geologists and geophysicists "residualization" known as "Regional-Residual Separation" is the process of generating a residual anomaly field from an observed field by removing a regional field. This residual map usually reveals previously hidden [...]


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