#Convert psp iso to cso shave verification

To accomplish this, the petrophysical well logs data were collected from a real reservoir in one of Iran southwest oil fields. To overcome this drawback, in this study several intelligent systems such as fuzzy logic (FL, neural network (NN, and support vector machine are used to predict synthesized petrophysical logs including neutron, density, and sonic. incomplete logging, measurement errors, and loss of data owing to unsuitable data storage. Log sets are commonly either incomplete or unreliable for many reasons (i.e. Porosity can be determined by the use of each of these tools however, a precise analysis requires a complete set of these tools. There are three main petrophysical logging tools for the determination of porosity, namely neutron, density, and sonic well logs. Log data are exceedingly crucial information in petroleum industries, for many of hydrocarbon parameters are obtained by virtue of petrophysical data. It is a vital factor in precise understanding of reservoir quality in a hydrocarbon field. The result of this study is useful to estimate the accuracy of values of each parameter test result in Geological Survey Institute Laboratory using regression formula representing each relationship.Дevelopment of an Intelligent System to Synthesize Petrophysical Well LogsДЇull Text Available Porosity is one of the fundamental petrophysical properties that should be evaluated for hydrocarbon bearing reservoirs. The values of petrophysic test results are determined by the rock types.

#Convert psp iso to cso shave verification

Statistical verification of the data exhibits variation of correlation coefficients among parameters ranging from medium to very high value.

Regression-Correlation of Petrophysical Inter- Parameter of Igneous Rocks and Limestone from Kulonprogo Mountain Region, Yogyakarta Special RegionДЇull Text Available DOI:Г‚В 10.17014/ijog.v6i4.127Laboratory test of complete petrophysic parameters encompasing water absorption, compressive strength, Los Angeles abrasive strength, Rudellof abrasive strength, and wear resistance with Na2SO4 has been carried out for igneous and carbonate rocks taken from Kulonprogo Mountains region. This is probably because of the challenge in finding a representative subvolume. The upscaled results show some discrepancy with the nano-CT results, particularly in the case of the low-permeability plug. parameters from CT imaging agree reasonably well with those determined experimentally. The results are also benchmarked against conventional core analysis (CCAL) results on trim-size samples. Moreover, the trim-section results are upscaled to trim size to form the basis of an additional comparison. Overall, with the appropriate resolution, the present study shows.-computed-tomography (nano-CT) images of trim sections and cuttings. Run directly from the micro-CT results on a cutting measured on an in-house instrument the results clearly show that micro-CT measurements on chalk do not capture the pore space with sufficient detail to be predictive. Noe-Nygaard, Jakob EngstrГѓВёm, Finn SГѓВёlling, Theis Ivan

Petrophysical modelling helps to investigate the impact of humidity. In the aeration zone, incomplete humidity has a significant effect on geoelectrical parameters of the soil. It has been demonstrated that interpretation of EP-IP results benefits from combined study of the plots of three abovementioned parameters (ГЏВЃ, ГЋ Increasing clayiness reduces hydraulic conductivity. Superficial conductivity, in its turn, is proportionate to clay content of the soil. In this case normalized polarizability (Mn is equal to superficial conductivity (SC. The authors demonstrate that superficial conductivity can be determined not only from spectral IP data, but also from soil resistivity obtained through petrophysical measurements. , Mn Гўв‚¬вЂњ and its superficial conductivity (SC or ГЏЖ’' using methods of vertical electrical sounding with induced polarization (VES-IP, electric profiling with induced polarization (EP-IP and frequency characteristic (FC-IP.Petrophysical approach to electrical properties of loose soilsДirectory of Open Access Journals (Sweden)ДЇull Text Available The paper focuses on the relation between geoelectrical characteristics of the soil: resistivity, polarizability and normalized polarizability (ГЏВЃ, ГЋ