Physical Modeling for Rock Physical Properties of Natural Gas Hydrate

Zhao, Qun; Guo, Jian; Hao, Shou-Ling; Geng, Jianhua

doi:10.1002/cjg2.705

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…In summary, these monitoring and control methods have laid a theoretical and practical basis for the analysis and evaluation of slope stability. In order to analyze the stressstrain law and infrared characteristics of bedded slopes under static load, and make up for the shortage of research results of stress-strain characteristics of this kind of slope restricted by measurement methods and instruments [29], we used physical models [30][31][32][33][34][35][36][37][38][39][40] to simulate and reproduce the remote monitoring process of the Nanfen open-pit iron mine landslide in order to better understand the deformation characteristics.…”

Section: Introductionmentioning

confidence: 99%

Infrared Temperature Law and Deformation Monitoring of Layered Bedding Rock Slope under Static Load

Tao

Liu

Cui

et al. 2020

Advances in Civil Engineering

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China is a mountainous and hilly country with frequent large-scale landslides with complicated mechanisms and serious damage. The layered rock slopes have the worst stability, undergo the most serious damage, and have been rarely investigated due to limitations of measurement methods and instruments. Taking the Nanfen open-pit iron mine as an example, a physical large-model similarity ratio test system is used to simulate the landslide remote monitoring process. The development of the sliding surface, stress-strain characteristics, and infrared law of the bedded rock slope are analyzed. Results show that the anchor cable with constant resistance and large deformation plays a significant role in the stability of the slope, and its maximum slip force is 420 N and 630 N, respectively. Slip and crack are the main mechanisms of energy release in layered rock slope. Some scheme improvement measures for this kind of test are put forward, which provides basis and optimization scheme for the subsequent study of layered rock slope.

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Section: Introductionmentioning

confidence: 99%

Infrared Temperature Law and Deformation Monitoring of Layered Bedding Rock Slope under Static Load

Tao

Liu

Cui

et al. 2020

Advances in Civil Engineering

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“…Institute of Petroleum Engineering in Edinburgh Heriot Watt University reported some related results too [16]. Zhao Qun et al [17] made synthetic sandstone samples of weak cementation and high porosity, and study the sensitivity of physical parameters of gas hydrate. Spangenberg, E. et al [18] estimated the methane hydrate saturation in experimental sample using electrical resistance, and measured Vp using ultrasonic wave.…”

Section: Introductionmentioning

confidence: 99%

Computation of Gas Hydrate Saturation Models Based on the Experimental Acoustic Parameters

Zhang

et al. 2013

AMM

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It is necessary to know gas hydrate saturation in evaluating gas hydrate volume. So far, there are only few models to estimate gas hydrate saturation. These models are often empirical or derived from observed data. Therefore, we need to confirm their legitimacy and get an approach to use the correct model. For the first time, we combine Ultrasonic Wave and Time Domain Reflectometry to study the relationship between gas hydrate saturation and acoustic parameters, which gets fine results. Subsequently, it attempts to compare the calculated data by time-average equation, Wood’s equation, Lee’s weighted equation and BGTL with the observed data in experiments. The results show the experimental method is very effective. It suggests that the Lee’s weighted equation and BGTL are more applicable in our experiments and various sediments.

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“…Local variations in permeability, fracture density, temperature and chlorinity within the GHSZ can result in a patchy hydrate distribution [ Müller et al , 2007; Tinivella et al , 2002; Tréhu et al , 2004; Zillmer et al , 2005]. Depending on their distribution within their host sediments (even for similarly homogeneous distributions such as pore‐filling versus cementing), the same hydrate saturation may yield vastly different rock properties [ Helgerud et al , 2000; Zhao et al , 2005]. Even so, qualitative analysis of the GHSZ through P‐ and S‐ wave velocity modeling and amplitude inversion is routinely done to get information on hydrate bearing zones such as their spatial extent and, in some cases, the hydrate saturation [ Chen et al , 2007; Dai et al , 2008; DeAngelo et al , 2010; Grevemeyer et al , 2000; Singh and Minshull , 1994; Xia et al , 2000].…”

Section: Introductionmentioning

confidence: 99%

Seismic characterization of hydrates in faulted, fine‐grained sediments of Krishna‐Godavari basin: Unified imaging

et al. 2012

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.[1] A combination of diffusion and advection in fine grained sediments can create a patchy Bottom Simulating Reflector (BSR) which has little to no apparent correlation with the overlying hydrate distribution. Using 2D seismic data from faulted, clay-rich sediments in the Krishna-Godavari (KG) basin, we show both the hydrate distribution and the BSR structure are fault controlled. Our demonstration hinges upon a kinematically accurate P wave velocity (V P ) model which is estimated using a composite traveltime-inversion, depth-migration method in an iterative manner. The flexibility of the method allows simultaneous usage of traveltimes from multiple, discontinuous reflectors. The application begins with a simple V P model from time processing which is reflective of a diffusive, continuous, hydrate-and free gas-bearing system. The application converges in three iterations yielding a final V P model which is suggestive of a patchy distribution of hydrates and free gas possibly developing through a combined diffusive-advective system. The depth image corresponding to the final V P model can be interpreted for faults that suggest ongoing tectonism. The BSR appears to be truncated at active faults zones. Both the final V P model and the corresponding depth image can be reconciled with the hydrate distribution and BSR depth at logging/coring sites located $250 m away from the line by projecting the sites along the strike direction of the regional faults.

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Physical Modeling for Rock Physical Properties of Natural Gas Hydrate

Cited by 5 publications

References 8 publications

Infrared Temperature Law and Deformation Monitoring of Layered Bedding Rock Slope under Static Load

Infrared Temperature Law and Deformation Monitoring of Layered Bedding Rock Slope under Static Load

Computation of Gas Hydrate Saturation Models Based on the Experimental Acoustic Parameters

Seismic characterization of hydrates in faulted, fine‐grained sediments of Krishna‐Godavari basin: Unified imaging

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