Statistical analysis methods have been widely used in all industries. In well logs analyses, they from the very beginning to predict petrophysical parameters such as permeability and porosity or generate synthetic curves density sonic logs. Initially, were generated simple functions of other measurements. Then, a result popularisation algorithms k-nearest neighbours (k-NN) artificial neural net...

shear and compressional wave velocities along with other petrophysical logs, are considered as upmost important data for hydrocarbon reservoirs characterization. shear wave velocity (vs) in well logging is commonly measured by some sort of dipole logging tools, which are able to acquire shear waves as well as compressional waves such as sonic scanner, dsi (dipole shear sonic imager) by schlumbe...

Reservoir characterization of W-field, onshore Niger Delta was carried out using petrophysical evaluation well logs. Three reservoir sand intervals (A, B, C) were identified and correlated across four wells (W1, W2, W3, W4) in W-field the gamma ray, while fluid identification each achieved resistivity log. The C interval selected utilized for interpretation penetrated at depths 11741-11945ft, 1...

Abstract Natural fractures play an essential role in the characterization and modeling of hydrocarbon reservoirs. Modeling fractured reservoirs requires understanding fracture characteristics. Fractured zones can be detected by using seismic data, petrophysical logs, well tests, drilling mud loss history core description. In this study, feed-forward neural networks (FFNN), cascade feed forward ...

Abstract Understanding basic petrophysical properties may enhance the recovery of residual oil saturation and help in reservoir management. Reservoir is fraction porosity a zone occupied by oil. The trapping increase with porosity. Oil reservoirs represent significant world-wide. We try to make evaluation using analysis well logs core samples at Issaran Field, South Gharib Formation, West Gulf ...

Petrophysical properties including volume of shale, porosity and water saturation are significance parameters for petroleum companies in evaluating the reservoirs determining hydrocarbon zones. These can be achieved through conventional petrophysical calculations from well logs data such as gamma ray, sonic, neutron, density deep resistivity. The logging operations targeted limestone Mishrif Ns...

Advanced and Integrated Petrophysical Characterization for CO2 Storage: Application to the Ketzin Site — Reservoir simulations and monitoring of CO2 storage require specific petrophysical data. We show a workflow that can be applied to saline aquifers and caprocks in order to provide the minimum data set for realistic estimations of storage potential and perform pertinent simulations of CO2 inj...

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...