Accurate determination of water saturation is fundamental for predicting the amount of
hydrocarbon fluid in reservoir, apart from monitoring fluid saturation changes whithin the …

The growing demand for hydrocarbons has driven the exploration of riskier prospects in
depths, pressures, and temperatures. Substantial volumes of hydrocarbons lie within deep …

Featured Application This article demonstrates SQp and SQs methods as the new AVO
attributes that sensitive to determine facies and fluid analysis. Abstract Amplitude versus …

The application of geostatistics in seismic inversion techniques has been proven somewhat
reliable in the delineation of reservoir properties and has recently attracted the attention of …

This article demonstrates the implementation of recurrent neural network (RNN) model in
optimizing amplitude versus offset (AVO) attributes for indicating lithology and hydrocarbon …

Formation evaluation is a critical requirement in oil and gas exploration and development
projects. Although it may be costly, wireline logs need to be acquired to evaluate and …

Abstract Machine learning through artificial intelligence have been successfully applied in
solving variety of problems in several disciplines. In the energy sector, oil and gas industry …

Identification of areas with high hydrocarbon distribution within a field can be achieved if the
field has electromagnetic data coverage. However, it is not the case for Field A which has …

An integrated reservoir characterization engages with the working of models illustrative of
underground geological formations, which are then used to predict and optimize oil and gas …

The application of lithology and fluid indicators has helped the geophysicists to discriminate
reservoirs to non-reservoirs from a field. This analysis is conducted to select the most …