Stuck pipe phenomena can have disastrous effects on drilling performance, with outcomes that range from time delays to loss of expensive machinery. In this work, we provide three methods for the prediction stuck pipe. The first method targets detection friction coefficient which represent trend second probability using ANN (artificial neural network). last model establishes a comprehensive indi...

Generally, various models can be used to describe a given application domain on different aspects and thus give rise to several views. To have a complete view of the application domain, heterogeneous models need to be unified, which is a hard task to do. To tackle this problem, we have proposed a method to relate partial models without combining them in a single model. In our approach, partial ...

Model Driven Software Development (MDSD) has matured over the last few years and is now becoming an established technology. Models are used in various contexts, where the possibility to perform different kinds of analyses based on the modelled applications is one of these potentials. In different use cases during these analyses it is necessary to detect patterns within large models. A general a...

Criminologists have long observed a strong correlation between age and crime. The age crime relationship has withstood stringent testing since the 1920’s and repeatedly demonstrated that criminal activity peaks at age seventeen and then gradually declines. These efforts have resulted in the formation of several theories; however, quantitative assessment of these theories are incomplete and fail...

“Information is power” is a sentence attributed to Francis Bacon that acquired a high important in the current era of the information. However, too much information can be a negative aspect. The term of “Infoxication” refers to the difficulty a person can have understanding an issue and making decisions that can be caused by the presence of too much information. With the increasing of relevance...

Big data applications with their high-volume and dynamically changing data streams impose new challenges to application performance management. Efficient and effective solutions must balance performance versus result precision and cope with dramatic changes in real-time load and needs without overprovisioning resources. Moreover, a developer should not be burdened too much with addressing perfo...

Observations of the Caspian Sea during August-September 1995 are used to develop a three-dimensional numerical model to be used in calculating temperature and current. The model has variable grid resolution and horizontal smoothing that filters out small scale vertical motion. Data from the meteorological buoy network on the Caspian Sea are combined with routine observations at first-order syno...

Observations of the Caspian Sea during August-September 1995 are used to develop a three-dimensional numerical model to be used in calculating temperature and current. The model has variable grid resolution and horizontal smoothing that filters out small scale vertical motion. Data from the meteorological buoy network on the Caspian Sea are combined with routine observations at first-order syno...

We introduce GAC-4R, MDD-4, and MDD-4R three new algorithms for maintaining arc consistency for table and MDD constraints. GAC-4R improves the well-known GAC-4 algorithm by managing the internal data structures in a different way. Instead of maintaining the internal data structures only by studying the consequences of deletions, we propose to reset the data structures by recomputing them from s...