Spring 2016
Sanjay Srinivasan
Professor of Petroleum and Natural Gas Engineering
John and Willie Leone Family Department of Energy and Mineral Engineering
College of Earth and Mineral Sciences
The Pennsylvania State University
Wednesday, February 3, 2016

One of the most challenging issues in reservoir characterization is to integrate information from several sources at different scale and precision. In this talk, I will present a comprehensive four-step approach to integrate the information from different sources to identify sweet spots in an unconventional liquid shale play. This approach starts with petrophysical inversion of rock properties using well log measurements. We also perform modeling of anisotropic elastic properties of the Upper Eagle Ford Shale using anisotropic differential effective medium theory. This method accounts for the micro-scale fabric of the rock in terms of the complex composition, shape and alignment of clay minerals, pore space, and kerogen. The model uses data such as mineral composition of rocks obtained by petrophysical inversion. We perform orientation correction and then a pressure adjustment in order to obtain more realistic rock properties. Afterwards, we perform a stochastic inversion to infer the seismic impedance and bulk density of the rocks. The seismic inversion results are at a coarser scale of the scale of interest and might be imprecise. We then perform stochastic geostatistical simulation in order to downscale the seismic inversion results while integrating the rock physics information in order to obtain reservoir quality information at all locations. The application of this 4-step approach is demonstrated for a sub-section of the Eagleford play.

Biosketch:
Sanjay Srinivasan is a professor of petroleum and natural gas engineering at the Pennsylvania State University and holds the John and Willie Leone Family chair in Energy and Mineral Engineering. Sanjay’s primary research focus is in the area of petroleum reservoir characterization and improved management of reservoir recovery processes. Some of the algorithms and methods that he has pioneered have been applied for early appraisal of ultra-deepwater plays in the Gulf of Mexico and for characterizing natural fracture networks in conventional as well as unconventional reservoirs. He has also partnered with researchers at the UT Institute of Geophysics and the Bureau of Economic Geology to develop novel schemes for integrating seismic data in reservoir models.

He served on the Technical Advisory board for the Alberta Ingenuity Center for In Situ Energy at the University of Calgary. He was until recently, a task leader in the Center for Frontiers of Subsurface Energy Security at UT Austin where he directed research focused on field scale characterization of geological CO2 sequestration. He serves as the associate editor of the Journal of Mathematical Geosciences and is a member of the editorial committee for the Society of Petroleum Engineering Journal.