38 citations · 95 across the 9 of their papers we have counts for
4 papers · 1 filter
Well Tops Guided Prediction of Reservoir Properties using Modular Neural Network Concept A Case Study from Western Onshore, India
Soumi Chaki, Akhilesh K Verma, Aurobinda Routray +2
This paper proposes a complete framework consisting pre-processing, modeling, and post-processing stages to carry out well tops guided prediction of a reservoir property (sand frac…
Quantification of sand fraction from seismic attributes using Neuro-Fuzzy approach
Akhilesh K Verma, Soumi Chaki, Aurobinda Routray +2
In this paper, we illustrate the modeling of a reservoir property (sand fraction) from seismic attributes namely seismic impedance, seismic amplitude, and instantaneous frequency u…
A Novel Pre-processing Scheme to Improve the Prediction of Sand Fraction from Seismic Attributes using Neural Networks
Soumi Chaki, Aurobinda Routray, William K. Mohanty
This paper presents a novel pre-processing scheme to improve the prediction of sand fraction from multiple seismic attributes such as seismic impedance, amplitude and frequency usi…
Reservoir Characterization: A Machine Learning Approach
Soumi Chaki
Reservoir Characterization (RC) can be defined as the act of building a reservoir model that incorporates all the characteristics of the reservoir that are pertinent to its ability…