Home > Academics > Academic Units > Centers > Deysarkar Centre of Excellence in Petroleum Engineering > Ankur Roy
I am primarily interested in data analysis and modeling of fractured petroleum reservoirs using various techniques ranging from deterministic Discrete Fracture Network models (DFN) to fractals and Multi-Point Geostatistics (MPS). My research involve analysis of data acquired from fractured reservoir analogs e.g., fracture maps, scanline data and those made available by the petroleum industry. Another aspect of my work is to image reservoir analogs in order to generate an extensive dataset to be used in my lab for developing new techniques. This data will also be made public;y available for other researchers. I am in the process of building an Image Analysis lab in our Centre that would focus on applications of various cutting-edge techniques in fractured reservoir research. Such techniques will not only include ideas from classical two-point geostatistics (e.g., variogram) and fractal analysis but will implement advanced concepts like MPS, lacunarity analysis, multifractal models and machine learning. Currently, talks are underway with a petroleum company for another project that would focus on automated facies identification from traditional petroleum reservoirs and developing techniques for advanced geo-cellular modeling. While analyzing fracture data and building static models is my primary focus what I'm ultimately interested in seeing is how fractures influence the flow in reservoirs. This will be potentially achieved by the means of using a commercially available flow simulator like FracaFlow, ECLIPSE or others, like NFFLOW and PFLOTRAN. The overall aim of the research group is develop cutting-edge techniques that can be implemented for analyzing various types of geoscientific data ranging from fractures to sedimentary facies to time series data. Students who are interested in quantitative research in geoscience, can code in MATLAB, preferably PYTHON, and interested in learning new software are encouraged to contact me for possible research scholar positions.