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.

Texture attributes for reservoir characterization

Texture attributes play an important role in seismic facies analysis and in highlighting geo-morphological features. Texture attributes are popular in image processing and are used in seismic interpretation to carry out seismic facies analysis and highlight geo-morphological features.

They originate from image analysis and are based on the Grey Level Co-occurrence Matrix (GLCM), which describes the relationship between pixels and was developed to capture the roughness or smoothness of an image. Statistical properties derived from GLCM matrix like homogeneity, energy, entropy etc. are used for facies analysis using 3D seismic data. Highlights of the observation of this work is:

  • GLCM based texture attributes are found to extract information required to delineate channel.
  • Meta attribute based on combination of amplitude and GLCM attributes has delineated channels.
  • Lithological variation can also be extracted from Texture attributes. Although, calibration of texture attributes with well log data needs to be done for correlation of lithological variation with texture attributes.
  • Texture attributes are found to be performing better in all the studies of unsupervised segmentation for delineation of channels.

Key Persons

Dr. P.H. Rao