Airborne 3D FTG data proves utility for both Minerals and Oil & Gas Exploration/Exploitation

Clay Minerals from the Perspective of Oil and Gas Exploration

Workshop on Data Mining for Oil & Gas

The process of exploring and exploiting Oil and Gas (O&G) generates a lot of data that can bring more efficiency to the industry. Although there are several examples of research papers on data mining and soft computing applications in the O&G related sciences, the opportunities for using data mining techniques in the "digital oil-field" remain largely unexplored or uncharted. The significant ch...

Model-driven Platform for Oil and Gas Enterprise Data Integration

The necessity of data interoperability is very important for the oil and gas enterprise environment. Different information systems and applications cover the range of the IT infrastructure and need to interoperate. Most of the industrial companies do not have common rational strategy for their automation. That leads to the lack of integration between purchased and implemented software that is n...

3d Resampling for Airborne Laser Data of Urban Areas

We consider the problem of resampling for the data obtained by laser scanning on an irregular grid. The data obtained by airborne laser scanning are scattered, and the resampling on a regular grid is needed for the generation of digital surface models (DSM). Some well-known methods are considered in this article: triangle-based linear interpolation, trianglebased nearest neighbor interpolation ...

Rapid and rigorous 3D inversion of airborne electromagnetic data

We address the challenging problem of interpreting frequency domain helicopter-borne electromagnetic data in areas with rough topography. Our method is based on localized quasi-linear (LQL) inversion followed by rigorous inversion, if necessary. Terrain corrections are also included. The LQL inversion serves to provide a fast image of the target. These results are checked by rigorous successive...