The integration between new technologies (Natural Gamma-ray Spectrometry log tool, magnetic resonance, etc.), characterization methodologies (probabilistic evaluation, crossplots analysis) and core data (petrophysical and petrological data and sedimentologic description) is very important to identify diagenetic constraints for reservoir quality in shaly-sand reservoirs in order to build a more ...

A field's hydrocarbon evaluation takes into account the productivity of reservoir bearing unit. It basically includes a thorough examination geological interpretation petrophysical parameter indices deduced from well logs. This study uses MHI and proven integrated methodologies including logs analysis, computing, to evaluate Sapele-field with objective establishing its fluid types saturations. ...

the direct way to access the petrophysical property of hydrocarbon reservoir is based on well data but due to its high cost, the seismic data has been used to obtain these parameters. for this purpose, many different methods are available and each has its own advantages and limitations. from these methods the seismic inversion is the best tool to study the reservoir characterization. the outcom...

Examples from the Polish clastic and carbonate reservoirs Central Anticlinorium, Carpathians Carpathian Foredeep are presented to illustrate possibilities of using well logging geothermal resources recognition characterization. Firstly, there was a short description selected logs methodology determination petrophysical parameters useful in investigations: porosity, permeability, fracturing, min...

Porosity is one of the key parameters associated with oil reservoirs. Determination of this petrophysical parameter is an essential step in reservoir characterization. Among different linear and nonlinear prediction tools such as multi-regression and polynomial curve fitting, artificial neural network has gained the attention of researchers over the past years. In the present study, two-dimensi...

The prediction of lithology is necessary in all areas of petroleum engineering. This means that to design a project in any branch of petroleum engineering, the lithology must be well known. Support vector machines (SVM’s) use an analytical approach to classification based on statistical learning theory, the principles of structural risk minimization, and empirical risk minimization. In this res...

This paper aims to calculate the petrophysical properties in Al-Ahdab field middle of Iraq within Mauddud Formation. study was based on information available from well logs. The interactive software IP (V4.5) used porosity, hydrocarbon saturation and shale volume, divide formation into reservoir units buffer units, evaluate these each well. divided five two them were considered good reservoirs ...