Rock Properties

Rajput, Sanjeev; Thakur, Naveen

doi:10.1016/b978-0-12-802020-3.00005-9

Cited by 5 publications

(9 citation statements)

References 20 publications

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“…Hence, an α-quartz crystal was initially imported from the pre-existing Material Studio database and then converted to orthogonal geometry by cleaving in the direction of (0 0 1), since it has been reported to yield better results in model construction and conduction of dynamic simulations. 5 Then, the dimensions of the cement were varied in accordance with the dimensions of each silica surface studied. Finally, the cement was placed over the surfaces with addition of vacuum between the silica surfaces and cement.…”

Section: Computational Detailsmentioning

confidence: 99%

“…The mechanical failure of different formation rocks such as sandstones, limestones, and shales has been extensively investigated in the literature. − Although the mechanical failure of formation can be successfully estimated, a set of information is required for the prediction of geomechanical properties to understand the behavior of a reservoir rock system. Poisson’s ratio, shear modulus, Young’s modulus, stress intensity factor, and all related formation stress parameters are required to be evaluated to predict the behavior and failure of a reservoir rock. − This can be a long and costly experimental process requiring complex equipment. Moreover, conventional techniques such as experimental procedures and well logging give limited information about quartz cementation and interactions with surfaces.…”

Section: Introductionmentioning

confidence: 99%

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Adhesion and Cohesion of Silica Surfaces with Quartz Cement: A Molecular Simulations Study

et al. 2022

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This study focuses on developing an adhesive and cohesive molecular modeling approach to study the properties of silica surfaces and quartz cement interfaces. Atomic models were created based on reported silica surface configurations and quartz cement. For the first time, molecular dynamics (MD) simulations were conducted to investigate the cohesion and adhesion properties by predicting the interaction energy and the adhesion pressure at the cement and silica surface interface. Results show that the adhesion pressure depends on the area density (per nm 2 ) and degree of ionization, and van der Waals forces are the major contributor to the interactions between the cement and silica surfaces. Moreover, it is shown that adhesion pressure could be the actual rock failure mechanism in contrast to the reported literature which considers cohesion as the failure mechanism. The bonding energy factors for both “dry” and “wet” conditions were used to predict the water effect on the adhesion pressure at the cement–surface interface, revealing that H 2 O can cause a significant reduction in adhesion pressure. In addition, relating the adhesion pressure to the dimensionless area ratio of the cement to silica surfaces resulted in a good correlation that could be used to distribute the adhesion pressure in a rock system based on the area of interactions between the cement and the surface. This study shows that MD simulations can be used to understand the chemomechanics relationship fundamental of cement–surfaces of a reservoir rock at a molecular/atomic level and to predict the rock mechanical failure for sandstones, limestones, and shales.

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Section: Computational Detailsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adhesion and Cohesion of Silica Surfaces with Quartz Cement: A Molecular Simulations Study

et al. 2022

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“…In the present study, we used seismic inversion analysis to obtain the Vp volume. Several NGH studies applied the seismic inversion analysis for the quantitative evaluation of the NGH-related properties, as well as the amplitude analysis (e.g., [20][21][22]). The results of our previous seismic inversion conducted before the first production test suggested that the seismic data were effective for the prediction of the NGH saturation, especially for the low NGH saturation unit [9].…”

Section: Methods For the Understanding The Spatial Distribution Of Thementioning

confidence: 99%

“…Figures 8 and 9 show the results of the Vp derived from the seismic inversion. Since the seismic data are generally lacking in low-frequency information, a low-frequency model (initial model) is necessary to obtain quantitative data in the seismic inversion (e.g., [22,24,25]). In our previous study, the low-frequency model was constructed by the geological horizons from the Cross-plot between the integrated resistivity for the upper unit (Unit IV-1 and Unit IV-2) and the RMS amplitude for the top of the MHCZ at each location using the existing seven wells.…”

Section: Methods For the Understanding The Spatial Distribution Of Thementioning

confidence: 99%

Characterization and Prediction of the Gas Hydrate Reservoir at the Second Offshore Gas Production Test Site in the Eastern Nankai Trough, Japan

2017

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Abstract:Following the world's first offshore production test that was conducted from a gas hydrate reservoir by a depressurization technique in 2013, the second offshore production test has been planned in the eastern Nankai Trough. In 2016, the drilling survey was performed ahead of the production test, and logging data that covers the reservoir interval were newly obtained from three wells around the test site: one well for geological survey, and two wells for monitoring surveys, during the production test. The formation evaluation using the well log data suggested that our target reservoir has a more significant heterogeneity in the gas hydrate saturation distribution than we expected, although lateral continuity of sand layers is relatively good. To evaluate the spatial distribution of gas hydrate, the integration analysis using well and seismic data was performed. The seismic amplitude analysis supports the lateral reservoir heterogeneity that has a significant positive correlation with the resistivity log data at the well locations. The spatial distribution of the apparent low-resistivity interval within the reservoir observed from log data was investigated by the P-velocity volume derived from seismic inversion. The integrated results were utilized for the pre-drill prediction of the reservoir quality at the producing wells. These approaches will reduce the risk of future commercial production from the gas hydrate reservoir.

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“…Early optical coherence elastography (OCE) methods used surface compression with speckle tracking [18,19] and later phase lag measurement [20], but the concept has been realised with many other contact and non-contact forms of stimulation [21]. One successful approach is to launch controlled shear waves in the material from point dynamic loading via an air-puff [22], and measure the spatially resolved wave velocity using OCT, which is closely tied to the material's stiffness [23]. Naturally occurring broadband diffuse shear waves can also be exploited to measure shear wavelength [24,25], a concept used by Nguyen et al [26] with OCT where it is referred to as 'passive elastography'.…”

Section: Introductionmentioning

confidence: 99%

Remote spatially variant debiased profiling of cell and tissue mechanical properties

Luo

Reinwald

et al. 2021

Preprint

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The role of the mechanical environment in defining tissue function, development, and growth has been shown to be fundamental. Assessment of the changes in stiffness of tissue matrices at multiple scales has relied mostly on invasive and often specialist equipment such as AFM or mechanical testing devices poorly suited to the cell culture workflow. In this paper, we have developed a novel unbiased passive optical coherence elastography method, exploiting ambient vibrations in the sample that enables real-time noninvasive quantitative profiling of cells and tissues. We demonstrate a robust method that decouples optical scattering and mechanical properties by actively compensating for scattering associated noise bias and reducing variance. The efficiency for the method to retrieve ground truth is validated in silico and in vitro, and exemplified for key applications such as time course mechanical profiling of bone and cartilage spheroids, tissue engineering cancer models, tissue repair models and single cell. Our method is readily implementable with any commercial optical coherence tomography system without any hardware modifications, and thus offers a breakthrough in tissue mechanical assessment for novel online assessment of spatial mechanical properties for organoids, soft tissues and tissue engineering.

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Rock Properties

Cited by 5 publications

References 20 publications

Adhesion and Cohesion of Silica Surfaces with Quartz Cement: A Molecular Simulations Study

Adhesion and Cohesion of Silica Surfaces with Quartz Cement: A Molecular Simulations Study

Characterization and Prediction of the Gas Hydrate Reservoir at the Second Offshore Gas Production Test Site in the Eastern Nankai Trough, Japan

Remote spatially variant debiased profiling of cell and tissue mechanical properties

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