Quantitative characterization of gas hydrate bearing sediment using elastic-electrical rock physics models

Pan, Haojie; Li, Hongbing; Grana, Dario; Zhang, Yan; Liu, Tangyan; Geng, Chao

doi:10.1016/j.marpetgeo.2019.04.034

Cited by 32 publications

(11 citation statements)

References 61 publications

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“…In addition, Ecker et al (2000) estimated the gas hydrate saturation by applying the EMT model to the gas hydrate-rich sedimentary layer for the first time. Also, several additional cases have been reported that used the EMT model to verify the gas hydrate saturation in various regions (Ghosh et al, 2010;Chhun et al, 2018;Pan et al, 2019). In this method, the elastic modulus of the gas hydrate-bearing sediments is related to mineralogy, effective pressure, porosity, and characteristics of the fluid material within the pore space.…”

Section: Estimation Of the Gas Hydrate Saturationmentioning

confidence: 99%

Estimation of the gas hydrate saturation from multichannel seismic data on the western continental margin of the Chukchi Rise in the Arctic Ocean

et al. 2022

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A multichannel seismic survey was conducted to investigate the geophysical characteristics of gas hydrates along the western continental margin of the Chukchi Rise around an ARAON mound cluster, which was first recovered in 2016. In the seismic data, gas hydrate-related bottom simulating reflection was widely distributed along the western continental margin of the Chukchi Rise. High-precision seismic P-wave velocity was obtained to investigate the geophysical characteristics of the gas hydrate structures in the BSR areas. Iterative migration velocity analysis was used to construct a detailed P-wave velocity model from the acquired seismic data. The gas hydrate and free gas layers have abnormally high- and low-seismic P-wave velocities; the precise velocity model allows us to understand the detailed spatial distribution of gas hydrate and free gas structures. The effective medium theory model enables estimations of the gas hydrate saturation from constructed seismic P-wave velocity model. We propose the P-wave velocity and gas hydrate saturation models from acquired multichannel seismic data in the western continental margin of the Chukchi Rise for the first time.

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Section: Estimation Of the Gas Hydrate Saturationmentioning

confidence: 99%

Estimation of the gas hydrate saturation from multichannel seismic data on the western continental margin of the Chukchi Rise in the Arctic Ocean

et al. 2022

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“…Aguilera and Aguilera [48] proposed a dual-porosity model, where the porecontaining matrix is paralleled with the microcracks, to obtain the electrical resistivity (see Appendix C). However, this model does not consider the clay content, which significantly decreases the resistivity (2-6 ohm-m, see [40,45]). We then add the effects of clay and develop a dual-porosity-clay (DPCL) parallel network model, as is shown in Figure 4.…”

Section: Electrical Modelmentioning

confidence: 99%

“…Several experimental and theoretical studies have been performed to analyze the relationship between the elastic and electrical properties of porous rocks [31,[38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Elastic-Electrical Rock-Physics Template for the Characterization of Tight-Oil Reservoir Rocks

Pang¹,

Ba²,

Carcione

et al. 2021

Lithosphere

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Tight-oil reservoirs have low porosity and permeability, with microcracks, high clay content, and a complex structure resulting in strong heterogeneities and poor connectivity. Thus, it is a challenge to characterize this type of reservoir with a single geophysical methodology. We propose a dual-porosity-clay parallel network to establish an electrical model and the Hashin-Shtrikman and differential effective medium equations to model the elastic properties. Using these two models, we compute the rock properties as a function of saturation, clay content, and total and microcrack porosities. Moreover, a 3D elastic-electrical template, based on resistivity, acoustic impedance, and Poisson’s ratio, is built. Well-log data is used to calibrate the template. We collect rock samples and log data (from two wells) from the Songliao Basin (China) and analyze their microstructures by scanning electron microscopy. Then, we study the effects of porosity and clay content on the elastic and electrical properties and obtain a good agreement between the predictions, log interpretation, and actual production reports.

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“…Gupta et al (2012) analyzed a sandstone reservoir's well logs and seismic-related datasets to identify its lithology and fluid type using a specific RPT constructed based on the Kuster-Toksöz rock physics model. With the Hertz-Mindlin theory, Pan et al (2019) constructed a three-dimensional (3D) RPT for a sandstone reservoir in North America. Using this RPT, they predicted the gas hydration saturation, porosity, and clay content.…”

Section: Introductionmentioning

confidence: 99%

Construction of 2D and 3D rock physics templates for quantitative prediction of physical properties of a carbonate reservoir in SW of Iran

Rahmani

Niri

Jozanikohan

2022

J Petrol Explor Prod Technol

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The characterization of carbonate rocks is not straightforward, as they often experience complex diagenetic processes causing them to expose wide variations in pore types. This research aims to characterize the properties of a carbonate reservoir with a complicated porous structure through rock physics principles and tools. Two representative wells from an oil field located in SW of Iran were selected, and two-dimensional (2D) and three-dimensional (3D) rock physics templates (RPTs) were constructed by employing the appropriate rock physics models. The porosity, water saturation, and pore type are considered reservoir parameters affecting carbonate rock's elastic properties and indicating the reservoir quality. The 2D RPTs described variations in two reservoir parameters in terms of elastic properties. However, they were not able to simultaneously characterize all three reservoir parameters. The proposed 3D RPTs revealed the underlying relationship of elastic properties with pore aspect ratio, water saturation, and porosity. To validate the constructed RPTs, well logging data, scanning electron microscope images, and thin section images were utilized. The RPTs were also employed to predict the reservoir properties quantitatively, and these predictions were compared with the petrophysical data. The average errors of the predicted porosity and water saturation by 3D RPT were, respectively, 1.22% and 6.66% for well A, and 2.65% and 8.18% for well B. The 2D RPTs provided three sets of predictions for porosity and water saturation (considering three specific pore aspect ratios of 0.03, 0.1, and 0.5), all with higher average errors compared to the predictions by 3D RPT for both wells. The obtained results proved that 3D RPT could predict reservoir properties more accurately. Finally, based on the estimated values of pore aspect ratio, water saturation, and porosity using 3D RPTs, the reservoir under study was divided into distinct depth intervals, and a quality level was assigned to each interval. The introduced rock physics-based procedure for a carbonate reservoir characterization could increase the reliability in predicting the reservoir properties, enhance the ability to detect the reservoir fluid, and thereby reduce the interpretation risk.

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Quantitative characterization of gas hydrate bearing sediment using elastic-electrical rock physics models

Cited by 32 publications

References 61 publications

Estimation of the gas hydrate saturation from multichannel seismic data on the western continental margin of the Chukchi Rise in the Arctic Ocean

Estimation of the gas hydrate saturation from multichannel seismic data on the western continental margin of the Chukchi Rise in the Arctic Ocean

Elastic-Electrical Rock-Physics Template for the Characterization of Tight-Oil Reservoir Rocks

Construction of 2D and 3D rock physics templates for quantitative prediction of physical properties of a carbonate reservoir in SW of Iran

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