Accurate estimation of hydrocarbon volume in a reservoir is important due to future development and investment on that reservoir. Estimation of Oil and Gas reservoirs continues from exploration to end of reservoir time life and is usual upstream engineer’s involvements. In this study we tried to make reservoir properties models (porosity and water saturation) and estimate reservoir volume hydro...

In constraint-based scheduling, storage systems are modelled by a class of resource called reservoir. Activities can either produce or consume a capacity in a reservoir. Most of the models presented in the literature assume that the production and the consumption is instantaneous but they are not good for some class of problems. This paper introduces the continuous reservoir model in which the ...

This study investigates flood avalanches in a dense reservoir network in the semiarid north-eastern Brazil. The population living in this area strongly depends on the availability of the water from this network. Water is stored during intense wet-season rainfall events and evaporates from the reservoir surface during the dry season. These seasonal changes are the driving forces behind the water...

Satellite images are an effective tool for the detection of phytoplankton blooms, since they cause striking changes in water color. Bloom intensity can be expressed in terms of chlorophyll-a concentration. Previous studies suggest the use of Landsat TM4/TM3 reflectance ratio to retrieve surface chlorophyll-a concentration from aquatic systems. In this study we assumed that a remote sensing trop...

In this paper a new class of reservoir models that are developed based on the pattern recognition technologies collectively known as Artificial Intelligence and Data Mining (AI&DM) is introduced. The workflows developed based on this new class of reservoir simulation and modeling tools break new ground in modeling fluid flow through porous media by providing a completely new and different angle...

finding a representative fluid in a hydrocarbon reservoir is crucial for integrated reservoir management. in this study, a systematic approach for screening and selecting consistent fluid samples in a reservoir was developed. the model integrated quality control (qc) of well conditioning before sampling, qc of pvt data, thermodynamic modeling and compositional gradient within a reservoir. well ...

Knowledge of the distribution of permeability and porosity in a reservoir is necessary for the prediction of future oil production, estimation of the location of bypassed oil, and optimization of reservoir management. But while the volume of data that can potentially provide information on reservoir architecture and fluid distributions has increased enormously in the past decade, it is not yet ...

Persistence of the latent viral reservoir has been recognized as a major obstacle to eradicating human immunodeficiency virus (HIV) in infected individuals receiving antiretroviral therapy. It has been suggested that histone deacetylase inhibitors (HDACis) may purge HIV in the latent viral reservoir. However, the effect of HDACis on the degree and extent of HIV expression in the latent viral re...

Abstract. Reservoir computing is a recent paradigm that has proved to be quite effective given the classical difficulty in training recurrent neural networks. An approach to using reservoir recurrent neural networks has been recently proposed for static problems and in this paper we look at the influence of the reservoir size, spectral radius and connectivity on the classification error in thes...