A method for monitoring the oleophilic fluid to aqueous fluid ratio of a drilling fluid includes selecting a sample of the drilling fluid that has been recirculated, measuring the NMR response of the sample of the drilling fluid and determining the oleophilic fluid to aqueous fluid ratio of the drilling fluid based at least in part on the NMR response.

A method includes disposing a downhole tool having a magnet assembly into a wellbore. The method includes generating, using the magnet assembly, a magnetic polarization in a volume into a subterranean region about the wellbore. The method also includes emitting an excitation in the magnetic polarization in the volume in the subterranean region. The method includes detecting, by at least one antenna, a nuclear magnetic resonance response to the excitation of the volume in the subterranean region. The method also includes determining a property of the subterranean region based on the nuclear magnetic resonance response.

An NMR-based system (10) to analyze one or more of the following: (i) crude oil property, (ii) crude oil rheology of crude oil, comprising an NMR device (11) for providing time and/or batch resolved NMR analysis and/or crude oil rheological profile, said NMR having a crude oil inflow pipe (13), and is in a fluid connection (14) with a crude oil refinery facility (12); wherein said system further comprising a computer readable medium configured to store a retrievable crude oil NMR analysis and/or crude oil rheological profile of a desired crude oil product (standard crude oil product, SCOP), thereby providing said system means to compare NMR analysis and/or crude oil theological profile of said SCOP with said time or batch resolved crude oil.

An NMR-based system (10) to analyze one or more of the following: (i) crude oil property, (ii) crude oil rheology of crude oil, comprising an NMR device (11) for providing time and/or batch resolved NMR analysis and/or crude oil rheological profile, said NMR having a crude oil inflow pipe (13), and is in a fluid connection (14) with a crude oil refinery facility (12); wherein said system further comprising a computer readable medium configured to store a retrievable crude oil NMR analysis and/or crude oil rheological profile of a desired crude oil product (standard crude oil product, SCOP), thereby providing said system means to compare NMR analysis and/or crude oil theological profile of said SCOP with said time or batch resolved crude oil.

A chemical pattern recognition method for evaluating the quality of a traditional Chinese medicine based on medicine effect information, comprising: collecting chemical information of a traditional Chinese medicine sample, obtaining medicine effect information reflecting a clinical therapeutic effect thereof, performing spectrum-effect relationship analysis on the chemical information and the medicine effect information, and obtaining an index significantly related to the medicine effect as a feature chemical index; dividing the traditional Chinese medicine sample into a training set and a test set; using a pattern recognition method to extract a feature variable from samples of the training set by taking the feature chemical index as an input variable; building a pattern recognition model using the feature variable; and substituting feature variable values of samples of the test set into the model, and completing chemical pattern recognition evaluation of the quality of the traditional Chinese medicine. According to the method, chemical reference substances are not needed, the chemical pattern recognition model is built on the basis of the feature chemical index reflecting the medicine effect, the one-sidedness and the subjectivity of the existing standards are overcome, and a traditional Chinese medicine quality evaluation system capable of reflecting both the clinical therapeutic effect and overall chemical composition information is finally formed.

Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or developing or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject.

Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or developing or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject.

A system and a method for applying .sup.13C or .sup.1H NMR spectroscopy to a sample of oil in order to calculate and assign an indicative property such as cetane number, pour point, cloud point, aniline point and/or octane number of a gas oil or naphtha fraction of the crude oil.

A method and device for characterizing microbial carbonate pores, and a server. Acquiring a user's detailed observational description of a profile of a microbial carbonate to be analyzed, and determining a full-diameter core sample on the microbial carbonate; performing pore characterization and a first pore test on the full-diameter core sample to determine a centimeter-scale pore parameter; determining a sampling position on the full-diameter core sample, and sampling on the full-diameter core sample to obtain a plunger sample; performing a second pore test on the plunger sample to determine a millimeter-scale pore parameter; determining a sampling position on the plunger sample according to the millimeter-scale pore parameter, and sampling on the plunger sample to obtain a scanning electron microscope (SEM) sample and a casting thin section sample; and performing a pore test on the SEM sample and the casting thin section sample to determine a micron-to-nanoscale pore parameter.

A method and device for characterizing microbial carbonate pores, and a server. Acquiring a user's detailed observational description of a profile of a microbial carbonate to be analyzed, and determining a full-diameter core sample on the microbial carbonate; performing pore characterization and a first pore test on the full-diameter core sample to determine a centimeter-scale pore parameter; determining a sampling position on the full-diameter core sample, and sampling on the full-diameter core sample to obtain a plunger sample; performing a second pore test on the plunger sample to determine a millimeter-scale pore parameter; determining a sampling position on the plunger sample according to the millimeter-scale pore parameter, and sampling on the plunger sample to obtain a scanning electron microscope (SEM) sample and a casting thin section sample; and performing a pore test on the SEM sample and the casting thin section sample to determine a micron-to-nanoscale pore parameter.