Halliburton Energy Services, Inc.

Magdalena Sandor

Songhua Chen

Ronald Eugene Cherry

William Walter Shumway

Cato Russell McDaniel

Wei Shao

Jason Glen Bell

Yuesheng Cheng

Yusheng Cheng

A method for estimating a property of an earth formation is provided. At least one porosity dataset is received. The porosity dataset is analysed to determine pore-throat size distribution. A NMR measurements dataset is received from a NMR tool. The dataset is analyzed to determine a distribution of a first relaxation time versus a second relaxation time. Distribution of a ratio of the first relaxation time to the second relaxation time is determined by calculating a ratio between a geometric mean of the first relaxation and the second relaxation time. A threshold for the ratio of the first relaxation time to the second relaxation time is selected. The threshold indicates a value of the ratio corresponding to pore sizes not contributing to property of the formation. The property of the formation is determined using the determined threshold for the ratio of the first relaxation time to the second relaxation time.

Reservoir formation characterization from NMR T1/T2 ratio

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.

Determining the oleophilic to aqueous phase fluid ratio for drilling fluids

Various embodiments include a method for determining a viscosity for heavy oil in a formation by obtaining viscosity data and nuclear magnetic resonance (NMR) relaxation time distribution data for a plurality of oil samples. A correlation is determined between a set of viscosity data for the plurality of oil samples and an NMR relaxation time geometric mean for the plurality of oil samples. An NMR relaxation time geometric mean intrinsic value is determined based on the correlation, apparent hydrogen index, and T. Electromagnetic energy may then be transmitted into a formation and NMR relaxation time distributions determined for oil in the formation based on secondary electromagnetic field responses associated with the electromagnetic energy. A viscosity of the oil in the formation may then be determined based a correlation between the set of viscosity data and the NMR relaxation time geometric mean intrinsic value of the distribution data.

Oil viscosity prediction

In some embodiments, an apparatus and a system, as well as a method and article of manufacture, may operate to measure nuclear magnetic resonance relaxation times in a fluid. Further activity may include determining a viscosity of the fluid based on at least one ratio of the relaxation times, and operating a controlled device based on the viscosity. Additional apparatus, systems, and methods are disclosed.

Viscosity determination apparatus, systems, and methods

Downhole nuclear magnetic resonance (NMR) methods that utilize oleophilic nanoparticle may allow for differentiation of light oil and oil-based filtrates. For example, a method may involve drilling a wellbore penetrating a subterranean formation using an oil-based drilling fluid that comprises an oil base fluid and a plurality of oleophilic nanoparticles; performing a plurality of NMR measurements at a plurality of depths of investigation (DOI) of a near-wellbore portion of the subterranean formation; and producing an invasion profile of an oil-based drilling fluid filtrate into the near-wellbore portion of the subterranean formation based on the plurality of NMR measurements.

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Humble, TX, United States of America

Magdalena Sandor