Analyzing and monitoring logs that portray system, user, and network activity is essential to meet the requirements of high security and optimal resource availability. While most systems now possess satisfactory logging facilities, the tools to monitor and interpret such event logs are still in their infancy. This paper describes an approach to relieve system and network administrators from man...

Knowledge of the orientation of horizontal in situ stresses is important to some areas of oil and gas field development plans. Borehole breakouts observed in image logs and drilling-induced fractures are the main parameters for the determination of the stresses’ directions in situ. In this work, the orientations of borehole breakouts were investigated as a function of depth in oil wells A and ...

Subsurface characterization is important for investigations of groundwater contamination as well as petroleum extraction potential. Bore holes or drill logs are a common source of localized stratigraphic information. Sampling and interpolation uncertainties complicate the characterization of the subsurface from these data. Geostatistical methods (Kriging based) have been used to map subsurface ...

The main task in oil and gas exploration is to gain an understanding of the distribution and nature of rocks and fluids in the subsurface. Well logs are records of petro-physical data acquired along a borehole, providing direct information about what is in the subsurface. The data collected by logging wells can have significant economic consequences, due to the costs inherent to drilling wells,...

in exploration seismology, estimation of elastic parameters of rocks using seismic amplitudes is considered as inverse problems. nowadays, model-based and more generally optimization-based algorithms are of the most common methods of seismic inversion. these algorithms which are known as deterministic methods, are suffering from two main problems; first, vertical resolution of outputs is very l...

Web access logs, usually stored in relational databases, are commonly used for various data mining and data analysis tasks. The tasks typically consist in searching the web access logs for event sequences that support a given sequential pattern. For large data volumes, this type of searching is extremely time consuming and is not well optimized by traditional indexing techniques. In this paper ...

A stochastic Bayesian approach for combining well logs and geophysical surveys for enhancing subsurface characterization is presented. The main challenge we face is in creating the bridge to link between ambiguously related geophysical surveys and well data. The second challenge is imposed by the disparity between the scale of the geophysical survey and the scale of the well logs. Our approach ...