A case study testing the effectiveness of neural networks for permeability determination in heterogeneous media using basic rock properties is presented. The dataset used consists 213 core samples from Morrow and Viola formations Kansas, United States. characterizing parameters cores are porosity (ϕ), water oil saturations (Sw So), grain density (GD), additional variables well logs induction re...

Reservoir characterization is a difficult problem due to nonlinear and heterogeneous physical properties of the subsurface. In this context, we present a case study to compare Artificial Neural Network (ANN) with Adaptive Neuro Fuzzy Inference System (ANFIS) for predicting two reservoir characteristics: porosity and sand fraction from well log data. The predictor variables are gamma ray content...

Nuclear logging is one of most important logging services provided by many oil service companies. The main parameters of interest are formation porosity, bulk density, and natural radiation. Other services are also provided from using complex nuclear logging tools, such as formation lithology/mineralogy, etc. Some parameters can be measured by using neutron logging tools and some can only be me...

Fuzzy logic (FL) and neural network (NNs) methods are commonly applied in a variety of areas the petroleum industry. The area hydrocarbon exploration has seen greatest advancement soft-computing technologies including FL, NNs. In this study, FL NNs have been to log data from Chanda Oil Field, northwest Pakistan, for porosity (PHIT) prediction. input dataset study included four known logs, gamma...

Pilot attempt of the neutron microtomography of voids in gold carried out using the Neutron Microscope instrument is presented in the paper. The paper demonstrates that neutron microtomography provides viable alternative to X-ray imaging for the assessment of porosity in high atomic number materials. The model sample based on gold with artificially induced void system reveals segmented porosity...

different methods exist for the zonation of oil reservoirs based on petrophysical data and well logs. among them are: permeability-porosity cross polt, pickett and soder and gill methods. in this study a statistical zonation technique has been used for the marun and pazanan oil reservoirs in iran based on effective porosity, density, sonic, neutron and resistivity data. petrophysical interpreta...

The porosity of a zone can be estimated either from a single “porosity log” (sonic, density, neutron, or magnetic resonance log) or a combination of porosity logs, in order to correct for variable lithology effects in complex reservoirs. In the carbonates, mineral mixtures are primarily drawn from calcite, dolomite, and quartz (either as sand grains or as chert); anhydrite and gypsum may also o...

Vaccinia virus early gene transcription termination requires the virion form of the viral RNA polymerase (vRNAP), Nucleoside Triphosphate Phosphohydrolase I (NPHI), ATP, the vaccinia termination factor (VTF), and a U5NU termination signal in the nascent transcript. VTF, also the viral mRNA capping enzyme, binds U5NU, and NPHI hydrolyzes ATP to release the transcript. NPHI can release transcript...

porosity is one of the fundamental petrophysical properties that should be evaluated for hydrocarbon bearing reservoirs. it is a vital factor in precise understanding of reservoir quality in a hydrocarbon field. log data are exceedingly crucial information in petroleum industries, for many of hydrocarbon parameters are obtained by virtue of petrophysical data. there are three main petrophysical...