Porosity is considered as an important petrophysical parameter in characterizing reservoirs, calculating in-situ oil reserves, and production evaluation. Nowadays, using intelligent techniques has become a popular method for porosity estimation. Support vector machine (SVM) a new intelligent method with a great generalization potential of modeling non-linear relationships has been introduced fo...

Evaluation of hydrocarbon reservoir requires classification of petrophysical properties from available dataset. However, characterization of reservoir attributes is difficult due to the nonlinear and heterogeneous nature of the subsurface physical properties. In this context, present study proposes a generalized one class classification framework based on Support Vector Data Description (SVDD) ...

Computer systems based on the popular Peripheral Component Interconnect (PCI) desktop bus are being used ever more frequently for the manipulation of real-time data. This paper presents the work done by the authors to adapt the PCI bus to meet the strict timing requirements for the transmission of real-time data through the provision of Quality of Service (QoS) guarantees.

Introduction Conclusions References Tables Figures ◭ ◮ ◭ ◮ Back Close Full Screen / Esc Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract Introduction Conclusions References Tables Figures ◭ ◮ ◭ ◮ Back Close Full Screen / Esc Abstract We studied the changes of geophysical parameters on a ...

A thin-bed laminated shaly-sand reservoir of the Miocene formation was evaluated using two methods: high resolution microresistivity data from XRMI tool and conventional well logs. Based on data, Earth model defined in a way that allowed analyzed interval to be subdivided into thin layers sandstones, mudstones, claystones. Theoretical logs gamma ray, bulk density, horizontal vertical resistivit...