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Abstract

In many areas of interest, the available seismic data combined with the most advanced seismic modeling/imaging tools, well information, potential field data, and geological and geophysical constraints, are still not sufficient to uniquely determine the complexity of subsurface geological media. There has been a continuous effort to enrich these data components in order to converge to a minimum set of plausible geological models that can be considered throughout the O&G exploration, development and production stages. The reliability of seismic imaging in complex geological areas depends on many factors. One of the most important is the ability to use the available recorded seismic data to illuminate subsurface image points from a wide range of directions and opening angles/azimuths between the incident and scattered waves. This multi-dimensional illumination challenge mainly depends on the density and extension of the seismic acquisition system and on the complexity and accuracy of the inverted subsurface geological model. Moreover, seismic imaging is classified into many categories, depending on the specific goal at each stage. For example, structuraloriented imaging for locating large scale potential reservoirs significantly differs from high-resolution imaging at the reservoir for fracture detection. In this work I demonstrate the advantages of using a novel multi-dimensional local angle domain (LAD) system for enriching information from the available recorded seismic data in order to obtain more reliable information about continuous and discontinuous subsurface target objects. In particular, I’ll briefly demonstrate the potential of using the mapped seismic data for different post-migration processing/imaging solutions: velocity model updating and re-migration, amplitude correction, accounting for illumination, geometrical spreading, and absorption/dispersion (Q-correction), in-situ data reconstruction, and specular/diffraction imaging.

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/content/papers/10.3997/2214-4609.201701699
2017-06-12
2024-03-29
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201701699
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