in this paper an intelligent method through general regression neural networks (grnn) is presented to estimate the depth of salt domes from gravity data. neural networks are as a good tool for automatic interpretation of geophysical data especially for depth estimation of gravity anomalies. the gravity signal is a nonlinear function of depth and density and the geometrical parameters of the bur...

evaluation of the geochemistry and hydrochemical quality of bam salt dome located in southern iran, was conducted in this study. two composite samples from salt units were collected and analysed by xrd and xrf to determine their mineral and elemental compositions. water samples were also collected from the only spring in the area and analysed for major anions, cations and some toxic elements. t...

Salt domes, an important geological structure, are closely related to the formation of petroleum reservoirs. In many cases, no explicit strong reflector exists between a salt dome and neighboring geological structures. Therefore, interpreters commonly delineate the boundaries of salt domes by observing a change in texture content. To stimulate the visual interpretation process, we propose a nov...

In this paper, we propose a texture-based interpretation workflow and apply to delineate salt domes in 3D migrated seismic volumes. First, we compute an attribute map using a novel seismic attribute, three-dimensional gradient of textures (3D-GoT), which measures the dissimilarity between neighboring cubes around each voxel in seismic volume across time or depth, crossline, and inline direction...

We describe a new short cut strategy to image the sediments and salt edge around a salt flank through an overburden salt canopy. We demonstrate its performance and capabilities on a synthetic acoustic seismic data from a Gulf of Mexico (GOM) style model. In this strategy, we first redatum the surface shots from a walk away Vertical Seismic Profile (WVSP) survey to be as if the source and receiv...

introduction soil salinity and expansion tts it, in the arid and semi-arid areas is including environmental issues that in recent years attention has been due to population growth and the need to utilizeland. in order to human was tried that using of different techniques determined salinity area between remote sensing data in recent years have provided relatively accurate results as a source of...

In this paper, we present a dictionary based classification approach for salt dome detection using texture based attributes. The proposed algorithm overcomes the drawbacks of existing texture attributes based salt dome detection techniques which are heavily dependent upon the relevance of attributes to the geological nature of salt domes and the number of attributes used for classification. The...

In this paper we define the theory and basic principles to move (redatum) the surface shots from a walk away VSP to be as if they had been located in the borehole. We will refer to this theory using several of the terms used in the literature including Time Reverse Acoustics (TRA), Seismic Interferometry (SI) and Virtual Source (VS) technology. Regardless of the name, the theory is built upon r...

Thermal anomalies indicating elevated temperatures often are present in producing hydrocarbon fields. Thermal anomalies delineated by bottom hole temperatures (BHTs) are readily identified in such settings, but are difficult to interpret because the data are not equilibriumtemperature measurements, nor do they provide depth constraints on thermal anomalies (i.e., change in heat flow with depth,...