Fluid prediction using AVO analysis and forward modelling of deep reservoirs in Faith Field, Niger Delta, Nigeria

Creator:

LukKolAfiMus

Publisher:

Spr

Host:

Visit

Licenses

http://www.springer.com/tdm

Similar

AVO Modelling of the South-East Niger Delta, NigeriaEstimating Fluid Saturation Using Machine Learning: A Case Study of Niger Delta Sandstone ReservoirsMapping of thin sandstone reservoirs in bisol field, Niger delta, Nigeria using spectral decomposition techniqueEstimation of Fluid Saturation Using Machine Learning Algorithms: A Case Study of Niger Delta Sandstone ReservoirsReservoir Characterization Using Integrated Petrophysical Evaluation, Seismic Attributes, and AVO Modeling in JASMI Field, Niger Delta BasinPREDICTION OF POROSITY OF RESERVOIR SANDS USING SEISMIC ATTRIBUTES IN “ARIKE” FIELD NIGER DELTA, NIGERIA

AVO Modelling of the South-East Niger Delta, Nigeria

Estimating Fluid Saturation Using Machine Learning: A Case Study of Niger Delta Sandstone Reservoirs

Abstract Water Saturation (Sw) is a critical input to reserves estimation and reser

Mapping of thin sandstone reservoirs in bisol field, Niger delta, Nigeria using spectral decomposition technique

Estimation of Fluid Saturation Using Machine Learning Algorithms: A Case Study of Niger Delta Sandstone Reservoirs

Abstract Water Saturation (Sw) is a critical input to reserves estimation and reser

Reservoir Characterization Using Integrated Petrophysical Evaluation, Seismic Attributes, and AVO Modeling in JASMI Field, Niger Delta Basin

This study presents an integrated reservoir characterization workflow aimed at delineating the hydro

PREDICTION OF POROSITY OF RESERVOIR SANDS USING SEISMIC ATTRIBUTES IN “ARIKE” FIELD NIGER DELTA, NIGERIA

The study aimed at predicting the porosity of reservoir sands in ‘Arike field’ Niger Delta, Nigeria