Dynamic in situ imaging of methane hydrate formation in coal media

Никитин, В. В.; Fokin, Mikhail I.; Дугаров, Г. А.; Drobchik, Arkady N.; Andrade, Vincent De; Shevchenko, Pavel; Manakov, Andrey Yu.; Duchkov, Anton A.

doi:10.1016/j.fuel.2021.120699

Cited by 15 publications

(11 citation statements)

References 70 publications

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“…In this case, the hydrate film on the walls is rather dense, so crystal growth on the walls proceeds on a relatively low number of sites. It should be stressed that the assumptions of water transport along the wetting films on reactor walls, grain boundaries in rocks, and so forth, as well as consequent hydrate growth, have already been introduced in the literature. , However, they have not been confirmed by direct visual observations.…”

Section: Resultsmentioning

confidence: 99%

Nucleation and Growth of Methane and Carbon Dioxide Hydrates on Wetting Liquid Films

Strukov

Adamova

Manakov

2022

Crystal Growth & Design

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The results of visual studies of the growth of methane and carbon dioxide hydrates from highly dilute aqueous solutions of acids and alkalis, as well as from the same solutions with the addition of 0.1 wt % sodium dodecyl sulfate, are presented. It was found that in addition to the growth of hydrate films at the water−gas interface (for solutions without sodium dodecyl sulfate) and the growth of a loose mass of hydrate on the walls of the reactor in the case of solutions with sodium dodecyl sulfate, there is also growth of the hydrate film on the free walls of the reactor. We speculate what these hydrate films form from the wetting water films located on the walls. In addition, growth of relatively large hydrate agglomerates on the reactor walls was observed. They look like "growing directly from the wall". Presumably, this is due to the possibility of film transfer of water between the formed hydrate films and the walls of the reactor. Possible features of the hydrate formation process caused by the formation of hydrates on wetting films are also discussed.

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Section: Resultsmentioning

confidence: 99%

Nucleation and Growth of Methane and Carbon Dioxide Hydrates on Wetting Liquid Films

Strukov

Adamova

Manakov

2022

Crystal Growth & Design

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“…To briefly demonstrate the efficacy of the TomocuPy package for processing data from a dynamic experiment with steering, we considered an in situ multi-resolution study of gas-hydrate formation inside porous media. The setup of the experiment has been given by Nikitin et al (2020Nikitin et al ( , 2021; multi-resolution scanning of gas-hydrates with an automatic lens-changing mechanism of the Optique Peter system (Optique-Peter, 2022) is described by Nikitin et al (2022).…”

Section: Dynamic Tomography Experiments With Steeringmentioning

confidence: 99%

TomocuPy – efficient GPU-based tomographic reconstruction with asynchronous data processing

Никитин¹

2023

J Synchrotron Rad

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Fast 3D data analysis and steering of a tomographic experiment by changing environmental conditions or acquisition parameters require fast, close to real-time, 3D reconstruction of large data volumes. Here a performance-optimized TomocuPy package is presented as othera GPU alternative to the commonly used central processing unit (CPU) based TomoPy package for tomographic reconstruction. TomocuPy utilizes modern hardware capabilities to organize a 3D asynchronous reconstruction involving parallel read/write operations with storage drives, CPU–GPU data transfers, and GPU computations. In the asynchronous reconstruction, all the operations are timely overlapped to almost fully hide all data management time. Since most cameras work with less than 16-bit digital output, the memory usage and processing speed are furthermore optimized by using 16-bit floating-point arithmetic. As a result, 3D reconstruction with TomocuPy became 20–30 times faster than its multi-threaded CPU equivalent. Full reconstruction (including read/write operations and methods initialization) of a 20483 tomographic volume takes less than 7 s on a single Nvidia Tesla A100 and PCIe 4.0 NVMe SSD, and scales almost linearly increasing the data size. To simplify operation at synchrotron beamlines, TomocuPy provides an easy-to-use command-line interface. Efficacy of the package was demonstrated during a tomographic experiment on gas-hydrate formation in porous samples, where a steering option was implemented as a lens-changing mechanism for zooming to regions of interest.

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“…To demonstrate efficacy of the TomocuPy package for processing data from a dynamic experiment with steering we considered in-situ study of gas-hydrate formation inside porous media (Nikitin et al, 2020;Nikitin et al, 2021). The gas hydrate study with X-ray is important because it allows for developing models that connect physical properties of sedimentary rocks at macro-scale to morphology and formation history of gas hydrates in the pore space at micro-scale.…”

Section: Dynamic Tomography Experiments With Steeringmentioning

confidence: 99%

“…Another example is the experiment on gas-hydrate formation in porous samples under certain pressure and temperature conditions (Nikitin et al, 2020;Nikitin et al, 2021). Fast 3D reconstruction will allow using advanced machine learning models to automatically detect different phases in the tomographic images: sand, gas, water, or gas hydrate (Fokin et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

TomocuPy: efficient GPU-based tomographic reconstruction with asynchronous data processing

Никитин¹

2022

Preprint

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Real-time 3D data analysis and steering of a dynamic tomographic experiment by changing environmental conditions or acquisition parameters require fast, close to real-time, 3D reconstruction of large data volumes. Here we present a performanceoptimized TomocuPy package as a GPU alternative to the commonly-used CPU-based TomoPy package for tomographic reconstruction. TomocuPy utilizes modern hardware capabilities to organize a fast 3D reconstruction conveyor involving parallel read-write operations with storage drives, CPU-GPU data transfers, and GPU computations. In the conveyor, all the operations are timely overlapped to almost fully hide all data management time. Since most cameras work with less than 16-bit digital output, we furthermore optimize the memory usage and processing speed by using 16-bit floatingpoint arithmetic. As a result, 3D reconstruction with TomocuPy became 20-30 times faster than its multithreaded CPU equivalent. Full reconstruction (including readwrite operations and methods initialization) of a 2048 3 tomographic volume takes less than 7 s on a single Nvidia Tesla A100 and PCIe 4.0 NVMe SSD, and scales almost

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Dynamic in situ imaging of methane hydrate formation in coal media

Cited by 15 publications

References 70 publications

Nucleation and Growth of Methane and Carbon Dioxide Hydrates on Wetting Liquid Films

Nucleation and Growth of Methane and Carbon Dioxide Hydrates on Wetting Liquid Films

TomocuPy – efficient GPU-based tomographic reconstruction with asynchronous data processing

TomocuPy: efficient GPU-based tomographic reconstruction with asynchronous data processing

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