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Speaker: Kurt Livo

Comparison of laboratory core data with nuclear magnetic resonance (NMR) data from both wireline logging and laboratory measurements is needed for optimization of NMR derived petrophysical properties in rocks. This talk will address complications between downhole wireline and laboratory NMR measurements and derivation of petrophysical properties with core data. The presence and distribution of paramagnetic minerals can affect NMR derived surface relaxivity (SR) values and, in turn, result in significant errors in pore size distribution (PSD) calculations. Differences in laboratory measurements such as nitrogen adsorption (N2) and cation exchange capacity (CEC) can result in varying NMR SR values when used for calculation of surface-to-volume ratio (S/V) and PSD. I present NMR surface relaxivity calculations for organic-rich formations and find that surface relaxivity is linearly correlated with paramagnetic clay content. Further discussion of water saturation and porosity determination in these formations using NMR and statistical comparisons with core data is presented.

Speaker Biography: Kurt Livo
Kurt Livo is currently a PhD candidate in Petroleum Engineering at the Colorado School of Mines. He is a research assistant working on low-field Nuclear Magnetic Resonance (NMR) and micro Computer Automated Tomography (µCT) properties of fluids and porous media in the Center for Rock and Fluid Multiphysics at CSM. Kurt’s research interests include pressure dependent NMR response for fluid relaxation and mineralogical controls on NMR derived properties in both unconventional and conventional reservoir rocks. His professional experience has included being an Oil and Gas bill writer and consultant for the Colorado House of Representatives, a reservoir engineer working on steam injection implementation and optimization in heavy oil reservoirs for Freeport-McMoRan Oil and Gas in Bakersfield, California, and a production and reservoir engineer for Schlumberger Petrotechnical Services working on petrophysical modeling and evaluation of the Mowry shale in the Powder River Basin of Wyoming. He also has worked as a petrophysicist for both QEP Resources and Oxy Oil and Gas on evaluation of NMR logs and integration of laboratory core data for fluid identification in downhole NMR studies.

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