Thursday, March 21, 2019, 6:00 PM - 10:00 PM MY
It is commonly accepted that petrophysics/ formation evaluation is critical for quantitative full field evaluation, yet the perception among some is that its mostly about expensive logging, calculating net-to-gross, porosity and saturation. However, from a business perspective, it’s much more than that. Petrophysics is integral throughout the life cycle of the field, and one of the aims of this talk is to show that by engaging your petrophysics teams early, and keeping them engaged through the process, significant business uplift can be achieved. In particular, this talk will highlight a concept known as the “petrophysical value chain” as it relates to exploration, development and production. This talk will also use show some real world examples of how logs, if incorrectly interpreted, can result in lost opportunities, and that sometimes, the interpretation is itself bounded by the complexities of the operations itself, requiring more than just logging to get to an answer that makes (economic) sense. Finally, there will be a discussion on how petrophysicists must avoid the “silo” effect that can come with being practitioners of this discipline.
About the Speaker:
Munish Kumar is currently a Sr. Petrophysicist with Total Asia Pacific Exploration, based in Singapore. His focus is on operational petrophysics and formation evaluation of assets in Asia, Australia and the Pacific region. Prior to this, he was a Sr. Petrophysicist with ExxonMobil (Exploration, Development and Production) in Australia and Houston, working on fields in Alaska, Gulf of Mexico, Mexico, W. Africa, Indonesia, Papua New Guinea, North West Shelf and Gippsland Basin, Victoria.
He has a PhD in Physics and Engineering (Applied Mathematics) from the Australian National University (2010) and a BEng (Hons) in Electrical and Computer Engineering from the National University of Singapore (2005).
His interests include multiphase flow in reservoir systems, core analysis , computer vision and image analysis, machine learning applications and data analytics as a means to analyze complex petrophysical problems.