Information about reservoir properties usually comes from two sources: seismic data and well logs. The former provide an indirect, low resolution image of rock velocity and density. The latter provide direct, high resolution (but laterally sparse) sampling of these and other rock parameters. An important problem in reservoir characterization is how best to combine these data sets, allowing the ...

Recently, Neural Networks became a popular method in geosciences in the context of pattern recognition problems. They can be used for classification of well logs, for image processing, for anomaly detection and similar problems. In the past, such problems were mainly solved by statistical approaches. However parametric statistical classification methods suffer from strong assumptions and nonpar...

To improve the sawyer’s ability to process hardwood logs and stems, and thereby generate a higher valued product, automated detection methods of external defects have been developed and successfully tested on a large collection of real log samples. Since external defects provide hints about internal log characteristics, the location, type, and severity of external defects are the primary indica...

In this paper, image features are used to realize the repositioning of logs in between processing. The position-posture estimation by has some problems such as missing materials and textures. To solve problem estimation, we employed Affine-SIFT segmentation matching. By adopting these two methods, it is possible estimate position orientation regardless order verify effectiveness our method, a w...

System logs constitute valuable information for analysis and diagnosis of system behavior. The size of parallel computing systems and the number of their components steadily increase. The volume of generated logs by the system is in proportion to this increase. Hence, long-term collection and storage of system logs is challenging. The analysis of system logs requires advanced text processing te...

process mining includes the automated discovery of petri nets from event logs. these event logs are the starting point for various discovery and analysis techniques of the process.  in this paper process model is developed using colored petri nets (cpns) and the supporting software package cpn tools. the restaurant process model is represented for the analysis using a combination of process min...

The objective of this work was to study maritime pine (Pinus pinaster Ait.) wood characteristics and their impact on the sawing yield using virtual stem models and sawing simulation procedures. In the first part of the work, a characterisation of maritime pine as raw material for the wood industry was performed. The stem shape, distribution of knots, and heartwood/sapwood contents were studied....

CWI’s experiments investigate the usefulness of clickthrough data for improving the diversity of image retrieval results. We use the search logs provided to us by Belga to find relevant images; we consider that these correspond to images clicked for queries exactly matching or best matching a topic’s title and cluster titles. To reduce the noise, we also filter these results and only consider t...