BIO: Derrick Green
Derrick holds a Bachelor of Science and a Ph.D. in Electrical Engineering from the University of New Brunswick, with his Ph.D. work focused on magnetic resonance imaging (MRI). After graduation, Derrick worked as a Senior Research Scientist for a major medical MRI manufacturer in Cleveland, Ohio (Philips Medical Systems) where he filed his first patent. His focus at Philips was software product development, designing complex MRI measurement techniques. He was responsible for the life cycle management of Philips software and introduced quality control systems that allow them to become ISO9000 certified.
Derrick is also the co-founder of Green Imaging Technologies and has acted as the company’s Chief Technical Officer since incorporation in 2005. Derrick took over as CEO in 2020 and continues to lead research and development activities leveraging GITs application knowledge in NMR and reservoir characterization.
His technical expertise has allowed GIT product offerings to increase significantly, as is evidenced by his over 30 peer-reviewed publications and five patent filings. Derrick was recently named an Adjunct Professor in the Department of Mechanical Engineering, Faculty of Engineering at the University of Manitoba.

SUMMARY:
Nuclear Magnetic Resonance (NMR) has long been used to examine rocks with either laboratory-based equipment or down hole measurements. NMR was first big innovation in the rock analysis was the discovery that the NMR relaxation properties directly correlate to the pore size of rocks. This further lead to NMR being used to quantify bound versus mobile fluid and led to relationships to calculate permeability. Current NMR (or Magnetic Resonance Imaging (MRI)) technologies now allows for localization of these signals and relaxation times to examine many more petrophysical information. This petrophysical information includes pore size distributions, capillary pressure, wettability, enhanced oil recovery rate, sweep efficiencies and flooding studies.
This presentation will give an overview of MRI of rocks and discuss the differences between MRI used in the clinical field and that used for porous media like rocks. Example imagines of different rock types taken at 12MHz and 128MHz will be presented. MRI can also be used to directly detect nuclei other than hydrogen such as sodium or carbon. In addition, information such as pore size or flow rates can be localized in the samples creating 4D dataset (x, y, z and flow for example).

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BIO: Zoriana Snovida
Zoriana Snovida is Logging-While-Drilling (LWD) Domain Champion and Senior Petrophysicist, currently based in Bucharest Domain Center in Romania. She provides technical support for advanced LWD services worldwide and involved with the development of the innovative interpretation workflows and LWD answer products. In 18 years with the company, she has held a variety of operations, management and technical roles across Latin America and Europe. She received her Masters Degree in Applied Math from Moscow Institute of Physics and Technology. Zoriana oversees SPWLA East Europe chapter.

SUMMARY:
Exploratory factor analysis is a statistical method used to expose the underlying structure or construct a relatively large set of measured variables when no a priori hypothesis is available concerning factors or patterns of measured variables. For NMR logging data, this technique is used to determine the critical number of bins and their cutoffs, which in turn, helps to determine the appropriate T2 cutoffs used in clastic and carbonate reservoirs. Fluid and pore size signatures derived using this method are used to invert for respective fluid volumes. This application can be expanded to provide fluid facies classification and hydrocarbon identification.

Field case studies showcase the practical applications of NMR factor analysis, including its effectiveness in optimizing well placement in carbonates, characterizing reservoirs, and evaluating laminated clastic formations in offshore deepwater wells.

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BIO: Jinhong Chen
JinHong Chen is the technical lead for Nuclear Magnetic Resonance (NMR) and Physics-related projects within Reservoir Engineering Technology at the Aramco Research Center-Houston.
Chen joined Aramco Americas in 2013 and is credited with founding and building its NMR research lab and programs, including both low-field and high-field NMR. He has been investigating fluid distribution and flow in unconventional source rocks, developing new advanced mud logging methods, exploring equations of state and fundamental NMR relaxation mechanism for nano-confined fluids in source rock shales, and developing NMR technology to accurately quantify CO2 in formation rocks for carbon capture, utilization, and storage.
Prior to joining Aramco Americas, Chen worked for Memorial Sloan-Kettering Cancer Center in New York managing a research group working on magic-angle-spinning NMR and MRI technology for sarcoma diagnosis and treatment. He entered the energy industry in 2010 when he became an NMR Formation Evaluation Specialist at Baker Hughes, leading their NMR Research and Development efforts.
Born and educated in China, Chen holds a Bachelor of Science degree from Wuhan University and a PhD in Physics from the Chinese Academy of Sciences. He performed his post doctorate work in Lausanne, Switzerland, and held a three-year joint appointment as a Salem Fellow at Harvard University and a Visiting Scientist at MIT.

SUMMARY:
Low field Nuclear Magnetic Resonance (NMR) has been widely used in laboratories to investigate hydrocarbon and water in small core plugs to provide accurate petrophysical measurements and for calibration of downhole NMR logs. One fundamental limiting factor of current NMR technologies on large whole core is that the spatial resolution is limited by the length of the radio-frequency (r.f.) detection coil. In addition, the end effects of finite coil length can compromise the accuracy of NMR measurement when the core is longer than the coil. Herein a method is developed to overcome these problems to acquire high-spatial-resolution (HSR-) NMR data of the fluid in the long rock samples. The method is implemented by first conducting a series of NMR measurements in synchronization with a stepwise movement of the long sample through the NMR r.f. coil with the step increment equal to the desired spatial resolution. It then inverts the acquired data to obtain HSR-NMR results using a robust inversion algorithm. This new method provides a non-destructive measurement of fluid content with any desired spatial resolution and is especially useful for tight rock samples with short NMR relaxation times. The method is tested on 23 preserved whole cores from a source rock reservoir. The measured fluid distribution from the HSR-NMR scanner matches well with the fluid content from other standard methods on the same sections of the preserved cores. In addition, the measured fluid distribution correlates well with the kerogen content along the cores with obvious lamination in the samples.

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