A new approach based on artificial neural network and standardized non-linear regression
analysis is proposed for the prediction of reservoir properties from limited well log data. Two …

Geochemical signatures of siliciclastic rocks constituting the sedimentary fill of a basin can
provide useful clues for constraining sedimentary processes. The inorganic geochemical …

Adequate reservoir information is needed for accurate reservoir characterization towards
enhancement of hydrocarbon recovery. The reservoir petrophysical parameters and elastic …

Three-dimensional models of petrophysical properties were constructed using stochastic
methods to reduce ambiguities associated with estimates for which data is limited to well …

This paper proposes a fluid classifier for a tight reservoir using a quantum neural network
(QNN). It is difficult to identify the fluid in tight reservoirs, and the manual interpretation of …

Coupled interpretation and modeling of seismic and well log data, using geostatistical
techniques was adopted to characterize reservoirs in a section of the Niger Delta Basin. The …

It is crucial for financial providers, investment groups, resource developers, and exploration
companies to rate new geothermal projects in terms of resources and reserves. In general …

Due to the global oil price crisis in 2014, one of the MOL's preventive/reactive measures was
to identify geologically or commercially risky elements within their portfolio. This involved …

Fluid substitution modelling was carried out to discriminate the formation fluids in X-field.
The study employed 3D seismic volume and well logs from two exploratory wells. Two …

1H shallow wells (upper formations)-4H deep wells (lower formations)-A3 Verejskij
Formation-A4 Bashkirian Formation-AOI area of interest-Bb Bobrikovian/Bobrikovsky …