Abstract

Conventional Static models are built by integrating Seismic, Geological, Petrophysical and Reservoir data using a geotechnical software. This case study, from a mature field in India, demonstrates building of an artificial intelligence driven static model. Machine learning and data automation techniques were used in analysing and processing of well log data, depth surfaces, well tops, and convert them into properties such as facies, porosity, saturation, and NTG