Seismic inversion is one of the fundamental techniques for solving geophysics problems. To
obtain the elastic parameters or petrophysical parameters, it is necessary to establish a …

Seismic inversion methods in geophysics is a technique used to transform seismic reflection
data into quantitative subsurface rock properties. It is methods to integrate seismic reflection …

Seismic inversion, complemented by machine learning algorithms, significantly improves the
accuracy and efficiency of subsurface parameter estimation from seismic data. In this …

Sparse-Spike inversion techniques are used to estimate distribution of acoustic impedance
in inter well region, the important parameters for characterizing the reservoir facies from …

This research delves into the utilization of Principal Component Analysis (PCA) and
Probabilistic Neural Network (PNN) techniques for predicting porosity values based on …

Predicting petrophysical parameters, particularly saturation, is a common challenge due to
the lack of direct relationships with seismic elastic attributes. Therefore, in this paper, we …

The prediction of highly heterogeneous reservoir parameters from seismic amplitude data is
a major challenge. Seismic attribute analysis can enhance the tracking of subtle …

In an attempt to reduce the errors and uncertainties associated with predicting reservoir
properties for static modeling, seismic inversion was integrated with artificial neural network …

Geostatistical inversion methods are routinely used to predict various geophysical
parameters away from the boreholes using seismic and well log data. The geostatistics …

The main aim of the presented study was to perform an analysis of petrophysical rock
parameters for the Pab Formation, which is a potential reservoir, located at four-depth …