Evolution of organo-clay composites with respect to thermal maturity in type II organic-rich source rocks

Berthonneau, Jérémie; Grauby, Olivier; Abuhaikal, Muhannad; Pellenq, Roland J.‐M.; Ulm, Franz Josef; Damme, H. Van

doi:10.1016/j.gca.2016.09.008

Cited by 59 publications

(28 citation statements)

References 36 publications

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“…The calibration procedure involves simulating the full stiffness tensor associated with each sub-volume in the calibration structure sets and utilizing Eqs. 9and (10) to calculate the associated indentation moduli. Then, by the means of first two cumulants of the distributions of both simulated and experimental measured moduli, the effective potentials of the constituents are calibrated.…”

Section: Methodology For Calibrations Of Energy Parametersmentioning

confidence: 99%

“…It is well known that clay exhibits a range of elastic behaviors based on its type [4,24,31,31,49,57]. Additionally, experimental observations of [10] using transmission electron microscopy coupled with energy-dispersive X-ray spectroscopy (TEM-EDX) hint at the spatial heterogeneity of clay particles even at nanometer length scales. To capture this, small fluctuations around the mean values of n;t ð Þ ij in the clay phase are introduced for all 1000 sub-volumes during calibration.…”

Section: Degrees Of Freedom: Clay and Inclusion Effective Potentialsmentioning

confidence: 99%

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A methodology to calibrate and to validate effective solid potentials of heterogeneous porous media from computed tomography scans and laboratory-measured nanoindentation data

et al. 2018

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Built on the framework of effective interaction potentials using lattice element method, a methodology to calibrate and to validate the elasticity of solid constituents in heterogeneous porous media from experimentally measured nanoindentation moduli and imported scans from advanced imaging techniques is presented. Applied to computed tomography (CT) scans of two organic-rich shales, spatial variations of effective interaction potentials prove instrumental in capturing the effective elastic behavior of highly heterogeneous materials via the first two cumulants of experimentally measured distributions of nanoindentation moduli. After calibration and validation steps while implicitly accounting for mesoscale texture effects via CT scans, Biot poroelastic coefficients are simulated. Analysis of stress percolation suggests contrasting pathways for load transmission, a reflection of microtextural differences in the studied cases. This methodology to calibrate elastic energy content of real materials from advanced imaging techniques and experimental measurements paves the way to study other phenomena such as wave propagation and fracture while providing a platform to fine-tune effective behavior of materials given advancements in additive manufacturing and machine learning algorithms.

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Section: Methodology For Calibrations Of Energy Parametersmentioning

confidence: 99%

Section: Degrees Of Freedom: Clay and Inclusion Effective Potentialsmentioning

confidence: 99%

A methodology to calibrate and to validate effective solid potentials of heterogeneous porous media from computed tomography scans and laboratory-measured nanoindentation data

et al. 2018

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“…As one of the essential components of shale, clay minerals have significant action on the catalysis of organic hydrocarbon generation and physically protecting OM from degradation by external agents (Kennedy et al, 2014;Berthonneau et al, 2016). With increasing thermal maturity, the evolution of clay minerals includes mainly the dehydration and microstructural change (such as reduction of interplanar spacing) (Bray et al, 1998;Bala et al, 2000), as well as the transformation of mineral type (typically smectite to illite) (Eberl et al, 1993;Metwally Chesnokov, 2012;Chen and Xiao, 2014;Berthonneau et al, 2016). For the three shale samples, there is some smectite in T 3 y and none found in S 1 l and Є 1 n (Table 1).…”

Section: The Evolution Of Om and Clay Mineralsmentioning

confidence: 99%

Microstructure Evolution of Organic Matter and Clay Minerals in Shales with Increasing Thermal Maturity

Yang

et al. 2020

Acta Geologica Sinica (Eng)

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As the two important components of shale, organic matter (OM) and clay minerals are usually thought to strongly influence the hydrocarbon generation, enrichment and exploitation. The evolution process of OM and clay minerals as well as their interrelationship over a wide range of thermal maturities are not completely clear. Taking Yanchang (T3y), Longmaxi (S1l) and Niutitang (Є1n) shales as examples, we have studied the microstructure characteristics of OM and clay minerals in shales with different thermal maturities. The effects of clay minerals and OM on pores were reinforced through sedimentation experiments. Using a combination of field emission scanning electron microscopy (FE‐SEM) and low‐pressure N2 adsorption, we investigated the microstructure differences among the three shales. The results showed that both OM and clay minerals have strong effects on pores, and small mesopore (2–20 nm) is the dominant pore component for all three samples. However, the differences between the three samples are embodied in the distribution of pore size and the location. For the T3y shale, clay minerals are loosely arranged and develop large amounts of pores, and fine OM grains often fill in intergranular minerals or fractures. Widespread OM pores distribute irregularly in S1l shale, and most of the pores are elliptical and nondirectional. The Є1n shale is characterized by the preferred orientational OM‐clay aggregates, and lots of pores in the composites are in the mesopore range, suggesting that over maturity lead to the collapse and compaction of pores under huge pressure of strata. The results of the current research imply that with increasing thermal maturity, OM pores are absent at low maturity (T3y), are maximized at high maturity (S1l) and are destroyed or compacted at over‐mature stage (Є1n). Meanwhile, clay minerals have gone through mineral transformation and orientational evolution. The interaction of the two processes makes a significant difference to the microstructure evolution of OM and clay minerals in shale, and the findings provide scientific foundation in better understanding diagenetic evolution and hydrocarbon generation of shale.

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“…In addition, observations can only be obtained on the source rock maturity at the present day, other than the source rock thermal maturity history and the associated hydrocarbon generation and expulsion, migration, and accumulation histories that help understand the entire process from petroleum generation to accumulation. With the development of modeling technology, the source rock thermal maturity history and time and space distribution in sedimentary basins can be quantitatively determined by basin simulation, and the basin simulation method is used in the study of source rock thermal maturity history in many basins (Belaid et al, 2010;Berthonneau et al, 2016;El-Shahat et al, 2009;Gonza´lez et al, 2013;Hakimi and Ahmed, 2016;Hu et al, 2001;Hudson and Hanson, 2010;Qiu et al, 2012Qiu et al, , 2010Zeinalzadeh et al, 2015;Zhu et al, 2016;Zuo et al, 2011Zuo et al, , 2014Zuo et al, , 2015bZuo et al, , 2015aZuo et al, , 2017aZuo et al, , 2016aZuo et al, , 2016b.…”

Section: Introductionmentioning

confidence: 99%

Source rocks evaluation of the Paleogene Shahejie 3 Formation in the Dongpu Depression, Bohai Bay Basin

Jiang

Zuo

Yang

et al. 2018

Energy Exploration & Exploitation

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Present simulation results based on two-dimensional basin cannot obtain accurate evaluations of petroleum resources because of not combining the thermal history in the Dongpu Depression. In this paper, Shahejie 3 Formation source rocks are evaluated using the geochemical data, and based on the thermal history, the thermal maturity evolution of typical wells and the top and bottom of the Shahejie 3 Formation source rocks are modeled using BasinMod software. Results show that source rocks are mainly distributed in the Haitongji-Liutun and Qianliyuan areas, and dominated by medium to high maturity source rocks. Organic matter types are primarily types II and III kerogen with a small amount of type I. The Shahejie 3 Formation source rocks in the Menggangji area experienced two stages of hydrocarbon generation: (1) during the Dongying Formation depositional period (33-17 Ma) and (2) from the Minghuazhen Formation depositional period to present (5.1-0 Ma). The source rocks are generally underdeveloped with low potential for hydrocarbon generation due to nonpoor and thin source rocks in this area. The two stages of hydrocarbon generation are not obvious for other areas. When the bottom of the source rocks reached overmature stage, the mid-lower Shahejie 3 Formation experienced the peak of hydrocarbon generation during the Dongying Formation depositional period. The thermal maturity evolution of the Shahejie 3 Formation source rocks revealed that the main hydrocarbon generation period was during the Dongying Formation depositional period. Therefore, petroleum

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Evolution of organo-clay composites with respect to thermal maturity in type II organic-rich source rocks

Cited by 59 publications

References 36 publications

A methodology to calibrate and to validate effective solid potentials of heterogeneous porous media from computed tomography scans and laboratory-measured nanoindentation data

A methodology to calibrate and to validate effective solid potentials of heterogeneous porous media from computed tomography scans and laboratory-measured nanoindentation data

Microstructure Evolution of Organic Matter and Clay Minerals in Shales with Increasing Thermal Maturity

Source rocks evaluation of the Paleogene Shahejie 3 Formation in the Dongpu Depression, Bohai Bay Basin

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