In this paper we present a first approach to evaluate the plant regeneration processes after wildfires. Ten burnt areas were selected and their NDVI variations were monitored throughout the post-fire period. The main objective was to recognise the different regeneration patterns of each burnt area. Several variables (such as the amount of rain, lithology, slope, aspect, etc.) were considered in...

In order to identify radon-prone areas and evaluate radon risk level, a soil gas radon survey combined with gamma-ray spectrometry measurements was carried out in Shenzhen City, south China. Meanwhile, the statistical analysis was applied to evaluate the distribution of measured results. This paper presents the methodology of the radon risk assessment. A radon risk map was accomplished based on...

Characterization of porosity in carbonate rocks is important in the oil and gas industry since a major hydrocarbons field is formed by this lithology and they have a complex media porous. In this context, this research presents a study of the pore space in limestones rocks by x-ray microtomography. Total porosity, type of porosity and pore size distribution were evaluated from 3D high resolutio...

The acoustic impedance (AI) differences between gas-sand and shale are very small in SLG gas field of Western China. Therefore the lithologic prediction solely by AI inversion will lead to multi-solution problem. Ni proposed a new elastic impedance (EI) calculation method (Ni, 2003) to deal with the seismic inversion and the prediction of lithology and fluid. In this paper, we compared this met...

Machine-learning algorithms have been used by geoscientists to infer geologic and physical properties from hydrocarbon exploration development wells for more than 40 years. These techniques historically utilize digital well-log information, which, like any remotely sensed measurement, resolution limitations. Core is the only subsurface data that true scale heterogeneity. However, core descripti...