Cooperative inversion of potential field geophysics data, utilizing fuzzy clustering and unstructured meshing for imaging an oil-trapping structure

This research presents the application of a fuzzy-guided focused technique for cooperative ۲D modeling of magnetic and gravity data on common geological sources responsible for anomalous observation. Whereby a well-known fuzzy C-means clustering tool is inserted in the center of the inversion mechanism to search different clusters of geophysical properties which are magnetic susceptibility and density contrast within several zones. An unstructured meshing is performed with triangular cells which captures the accurate borders of a rugged topography area and any complex-shaped sought sources. Ground-based gravity and magnetic observations over a plausible oil-trapping structure are investigated at the Kifl region, situated in Iraq. Cooperative inversion output can pave the way for imaging of a fault feature which has been filled by a thick sequence of sediments, presenting a configuration of a graben-horst structure. The main notable output of this work proves the existence of an oil-trapping structure responsible for a distinct potential field geophysics anomaly.