Geochemistry and Catagenetic Transformations of Kerogen from the Bazhenov Horizon

Конторович, А. Э.; Bogorodskaya, L. I.; Borisova, L S; Burshtein, L. M.; Ismagilov, Z. R.; Ефимова, О. С.; Костырева, Е.А.; Lemina, N. M.; Ryzhkova, S. V.; Созинов, С. А.; Fomin, A. N.

doi:10.1134/s0016702919060028

Cited by 18 publications

(12 citation statements)

References 5 publications

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“…The δ 13 C org values of the alginite-rich layers (from −31.1 to −31.9‰) are similar to host rocks (from −30.5 to −31.9‰). The resulting values are typical for marine OM of the Bazhenov Formation that have been previously reported [4,62].…”

Section: Key Characteristics Of the Alginite-rich Layerssupporting

confidence: 79%

“…According to mineralogical studies, the main chemical form of sulfur in investigated samples is the sulfide sulfur fixed as pyrite. Organic sulfur presents in a very subordinate amount, the sulfur content in organic matter in sedimentary rocks of West Siberia is generally low and does not exceed 5 wt.% [62]. The sulfur isotope composition of sulfide sulfur indicates the changes in redox conditions during sedimentation and the sulfatereducing bacteria activity.…”

Section: Key Characteristics Of the Alginite-rich Layersmentioning

confidence: 99%

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Alginite-Rich Layers in the Bazhenov Deposits of Western Siberia

et al. 2021

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In this study, we identified the luminescent layers containing a significant amount of alginite in the Upper Jurassic–Lower Cretaceous Bazhenov Formation named “the alginite-rich layers”. Lithological and geochemical methods were used to determine distinctive features of these layers and to evaluate their impact on the total petroleum generation potential of the Bazhenov Formation. We have shown that the composition of the alginite-rich layers differs significantly from the organic-rich siliceous Bazhenov rocks. Rock-Eval pyrolysis, bulk kinetics of thermal decomposition, elemental analysis, and the composition of pyrolysis products indicate type I kerogen to be the predominant component of the organic matter (OM). Isotope composition of carbon, nitrogen, and sulfur was used to provide insights into their origin and formation pathways. The luminescent alginite-rich layers proved to be good regional stratigraphic markers of the Bazhenov Formation due to widespread distribution over the central part of Western Siberia. They can also be applied for maturity evaluation of the deposits from immature to middle of the oil window, since the luminescence of the layers changes the color and intensity during maturation.

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Section: Key Characteristics Of the Alginite-rich Layerssupporting

confidence: 79%

Section: Key Characteristics Of the Alginite-rich Layersmentioning

confidence: 99%

Alginite-Rich Layers in the Bazhenov Deposits of Western Siberia

et al. 2021

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“…Similarly, the multi-NMR spectra method can also be designed through feature engineering to analyze different spectra comprehensively. Kang et al designed an input method and ML model for combining 13 C and 1 H NMR spectra based on 2D NMR reconstructed spectra. The prediction performance beyond any single input spectral type is obtained.…”

Section: Synopsis Of ML Methodsmentioning

confidence: 99%

“…The solid-state NMR is used to analyze the molecular structure of kerogen without degradation. The elements and functional groups are determined via 13 C and 29 Si NMR spectra.…”

Section: Kerogen Monomer and Kerogen Matrixmentioning

confidence: 99%

“…As the parent material of shale oil/gas, more than half of the hydrocarbons in shale are adsorbed in kerogen. Therefore, research on the chemo-mechanical properties of kerogen, such as oil/gas migration, maturation, in situ ripening, pyrolysis, etc., are the basis for increasing the production and extraction efficiency of shale oil/gas. − And the information on the environment, climate, and biota in ancient geological times can also be provided by kerogen. − Bottom-up simulation analysis of kerogen from the molecular level is the most direct and effective way. , Thus, the rapid reconstruction of qualified kerogen molecular models is the cornerstone of the research on the chemo-mechanical properties of kerogen . Since the 1940s, research on the kerogen formation, molecular model reconstruction, and pyrolysis evolution mechanism is out to predict the sweet spots distribution and production of the reservoirs, then achieve the in situ ripening, low-cost extraction, and environmental protection of shale oil/gas.…”

Section: Introductionmentioning

confidence: 99%

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Perspectives of Machine Learning Development on Kerogen Molecular Model Reconstruction and Shale Oil/Gas Exploitation

Kang

Zhao

2022

Energy Fuels

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The shale revolution has provided abundant shale oil/gas resources for the world, but the efficient, sustainable, and environmentally friendly exploitation of shale oil/gas is still challenging. Kerogen is the primary hydrocarbon source of shale oil/gas. The research on the kerogen chemo-mechanical properties significantly influences the development of shale oil/gas extraction technology. Rapid reconstruction of the kerogen molecular models is the most effective way to study the generation mechanism of shale oil/gas from the bottom-up molecular level. However, due to the combinatorial explosion problem, the reconstruction complexity of kerogen increases sharply because of the kerogen’s characteristics of complex origin, large molecular weight, and diverse functional groups. The traditional kerogen molecular reconstruction methods require professionals to comprehensively analyze various experimental information to approximate the actual kerogen molecular models through trial-and-error. So, the traditional methods are time and material-consuming and extremely inefficient. These shortcomings make researchers spend too much strength on the reconstruction of kerogen molecular models and cannot focus on the study of kerogen chemo-mechanical properties. For the past few years, state-of-the-art machine learning (ML) methods have been applied to intelligently reconstruct the kerogen molecular models through high-throughput and predict shale oil/gas production mechanisms. Although the current work is still in the infancy stage, ML methods are believed to be the most promising way to solve the drawbacks of traditional methods and reconstruct kerogen in reliable and large molecular weight. Hence, mechano-energetics is proposed to study the efficient development and utilization of energy based on mechanics and ML. This paper briefly reviews the development history of kerogen molecular model reconstruction methods and the research of ML in the fields of kerogen reconstruction and shale oil/gas exploitation. Some recommendations for further ML-based work are also suggested. We are convinced that the ML methods will accelerate the research of kerogen and promote the significant development of unconventional oil/gas exploitation technologies.

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Provenance and the U–Pb age constraints on the tuff beds of the Late Jurassic–Early Cretaceous Bazhenovo Formation, West Siberian Basin

Bulatov,

Yermakov,

Kulikova

et al. 2024

The Depositional Record

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Thin tuff beds of the Late Jurassic–Early Cretaceous Bazhenovo Formation are laterally widespread in the central part of the West Siberian Basin (ca 0.5 million km2). However, the source of the tuff beds remains unclear. The stratigraphy, geochemistry and geochronology of the tuff beds were investigated to reveal their magmatic origin and potential source region. Most of the tuff beds are recorded in member 4 and can be correlated through the Bazhenovo sequence. Thin‐section petrography and X‐ray diffraction indicate that the tuffs mostly comprise clay minerals and K‐feldspars. Less common minerals are plagioclase, quartz and pyrite. The geochemical composition of the Bazhenovo tuff beds suggests a parental magma origin of andesite/basalt, which came from volcanic arc‐related settings. Considering the results of geochemical studies along with LA‐ICP‐MS zircon U–Pb dating (141.3 ± 0.3/2.8 Ma), the palaeovolcanoes of the Caucasus region or south‐east Mongolia–North‐East China are one of the potential source regions of the tuffs. The record of these tuffs indicates the intensive volcanic eruption during the Volgian–Ryazanian, accompanied by a very low‐sedimentation rate and preservation in a reducing environment. The tuff beds have broad implications as an isochronous marker horizon and constraints for the numerical age of the Jurassic–Cretaceous boundary in the Boreal Realm.

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Geochemistry and Catagenetic Transformations of Kerogen from the Bazhenov Horizon

Cited by 18 publications

References 5 publications

Alginite-Rich Layers in the Bazhenov Deposits of Western Siberia

Alginite-Rich Layers in the Bazhenov Deposits of Western Siberia

Perspectives of Machine Learning Development on Kerogen Molecular Model Reconstruction and Shale Oil/Gas Exploitation

Provenance and the U–Pb age constraints on the tuff beds of the Late Jurassic–Early Cretaceous Bazhenovo Formation, West Siberian Basin

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