Permeability and capillary pressures are important petrophysical properties. Permeability is one of the most important parameters for reservoir management and development. Capillary pressure data have been widely used in evaluating reservoir rock, sealing capacity, transition zone thickness, pay versus non pay, and absolute and relative permeability. We are working in this study modification tw...

[1] Direct estimation of groundwater solute concentrations from geophysical tomograms has been only moderately successful because (1) reconstructed tomograms are often highly uncertain and subject to inversion artifacts, (2) the range of subsurface conditions represented in data sets is incomplete because of the paucity of colocated well or core data and aquifer heterogeneity, and (3) geophysic...

Abstract The present work deals with an interpretation of well log data (gamma ray (GR), resistivity, density, and neutron) from four wells, namely P-1, P-2, P-3 P-4 in the study area Rio Del Rey basin. logs analysis indicates five potential sandstone reservoirs at two six P-4. neutron–density-GR highlight gas reservoir characterized by high resistivity crossover between neutron density. cross-...

The Horus field is considered one of the most important hydrocarbon producers within Alamein basin, Western Desert Egypt. This area was affected by different tectonic movements throughout geological history. re-evaluation and characterization area, especially its main reservoirs Lower Bahariya, middle upper AR/G Dolomite units, because low production oil tend (only 1100 BBD). Despite this, basi...

The conventional approach in reservoir characterization uses an extrapolation of petrophysical properties calculated from well logs determining the entire field volume. This technique fails to acknowledge/ factor heterogeneity a reservoir, and consequently leads errors capacity quantification. research work employs deterministic seismic inversion each sand. First, sand was identified intervals ...

Development of the Hugoton field model has required automated processing of large data volumes at several steps, including prediction of lithofacies from geophysical well logs in numerous wells based on a neural network trained on log-facies associations observed in cored wells, generation of geologic controlling variables (depositional environment indicator and relative position in cycle) from...

Spectral analysis is an important step in seismic data processing and interpretation. The frequency contents of seismic traces vary with time due to the fact that the earth is non-stationary medium. Methods were available to improve the temporal and spectral resolution, such as windowed Fourier transform, wavelet transform, S-transform and Matching Pursuit Decomposition, etc. This paper describ...

Attributes remain to be of the utmost importance for the characterization of seismic data. Especially in the scale-range where tuning effects play, the understanding of what is happening, and the subsequent technology to extract the proper attributes from the huge seismic data-volumes remains current. This study starts with the analysis of a set of typical petrophysical log shapes. These log sh...