Abstract
This research deals with the qualitative and quantitative interpretation of Bouguer gravity anomaly data for a region located to the SW of Qa’im City within Anbar province by using 2D- mapping methods. The gravity residual field obtained graphically by subtracting the Regional Gravity values from the values of the total Bouguer anomaly. The residual gravity field processed in order to reduce noise by applying the gradient operator and 1st directional derivatives filtering. This was helpful in assigning the locations of sudden variation in Gravity values. Such variations may be produced by subsurface faults, fractures, cavities or subsurface facies lateral variations limits. A major fault was predicted to extend with the direction NE-SW. This fault is mentioned by previous studies as undefined subsurface fault depth within the sedimentary cover rocks. The results of this research that were obtained by gravity quantitative interpretation find that the depth to this major fault plane center is about 2.4 Km.
Highlights
Gravity methods have been applied for long years in detecting subsurface geological structures which were variable in depth, size and shape
The current study aims to use some processing methods to detect locations of subsurface sudden density variations related to subsurface structures, which are mainly faults
The qualitative interpretation for the residual gravity field yielded the preliminary locations for the proposed faults and density contrast limits of the subsurface structures
Summary
Gravity methods have been applied for long years in detecting subsurface geological structures which were variable in depth, size and shape. The current study aims to use some processing methods to detect locations of subsurface sudden density variations related to subsurface structures, which are mainly faults. This could be maintained by applying some noise reduction 2D-filtering techniques, in order to clarify such features. The current study aims to interpret the gravity field for the study area in order to detect locations of subsurface rocks density sudden variations. The detection of subsurface faulting and fracturing locations, their extension and direction, compare it with the geological information available from previous studies Such information is important for any future oil, gas or groundwater exploration studies or for Infrastructures Engineering projects
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