Research & Development

GERMI has established two research wings- Petroleum and Renewable Energy. The Petroleum Wing has two major groups.

Petroleum Laboratories whose capabilities are in Petrographic studies, Rock Physics and Geochemical Studies and the Data Interpretation Centre with Capabilities on G&G data analysis, Seismic Data enhancement & characterization. The Renewable Research Wing supports fundamental and applied research ranging from solar cell material and device designs to plant performance analysis. As well in the environmental research focusing to help industries in important areas related to science, technology and management pertaining to Pollution, Energy Efficiency, Bio-Energy & Waste to Energy and enable the integration of innovative need-based technologies.

Multi Attribute Analysis for delineation of channels

Impedance Inversion studies and well property prediction are performed from well logs using an Artificial Neural Network (ANN). An ANN creates a nonlinear mapping between a set of input data and target outputs. The nature of this nonlinear mapping depends upon the type of artificial neural network used. A feed forward back-propagation neural network is used in this study to predict well log properties from Inversion results and multiple attributes.

Key Persons

Dr. P.H. Rao