Year Year arrow
arrow-active-down-0
Publisher Publisher arrow
arrow-active-down-1
Journal
1
Journal arrow
arrow-active-down-2
Institution Institution arrow
arrow-active-down-3
Institution Country Institution Country arrow
arrow-active-down-4
Publication Type Publication Type arrow
arrow-active-down-5
Field Of Study Field Of Study arrow
arrow-active-down-6
Topics Topics arrow
arrow-active-down-7
Open Access Open Access arrow
arrow-active-down-8
Language Language arrow
arrow-active-down-9
Filter Icon Filter 1
Year Year arrow
arrow-active-down-0
Publisher Publisher arrow
arrow-active-down-1
Journal
1
Journal arrow
arrow-active-down-2
Institution Institution arrow
arrow-active-down-3
Institution Country Institution Country arrow
arrow-active-down-4
Publication Type Publication Type arrow
arrow-active-down-5
Field Of Study Field Of Study arrow
arrow-active-down-6
Topics Topics arrow
arrow-active-down-7
Open Access Open Access arrow
arrow-active-down-8
Language Language arrow
arrow-active-down-9
Filter Icon Filter 1
Export
Sort by: Relevance
  • New
  • Open Access Icon
  • Research Article
  • 10.3176/oil.2025.4.04
Logging-based prediction of organic geochemical parameters in oil shale during thermal evolution using the XGBoost algorithm
  • Oct 18, 2025
  • Oil Shale
  • Lianxin Tao + 5 more

Oil shale in large basins undergoes multiple evolutionary stages, limiting the applicability of a single logging-based prediction model. This study focuses on the oil shale of the Qingshankou Formation in the Songliao Basin, using gamma ray (GR), deep resistivity (LLD), acoustic travel time (DT), neutron porosity (CNL), density (DEN), and depth data as input features. The XGBoost algorithm is employed to develop predictive models for total organic carbon (TOC) content, free hydrocarbon (S1), pyrolyzable hydrocarbon (S2), and maximum pyrolysis peak temperature (Tmax). TOC predictions are further stratified for low-maturity, mature, and high-maturity oil shale intervals. The results show that S2 achieves the highest prediction accuracy (R2 = 0.91), due to its strong correlation with hydrogen index (HI) driven by thermal evolution. TOC prediction accuracy (R2= 0.75) is influenced by combined changes in porosity and organic matter evolution. Tmax prediction (R2 = 0.74) depends mainly on depth and CNL. S1 correlates weakly with all well logs, yielding the lowest accuracy (R2= 0.29). Shale maturity plays a critical role in determining the reliability of TOC prediction models. Low-maturity oil shale exhibits the best TOC accuracy (R2= 0.83), as wellpreserved organic matter and high porosity correlate closely with LLD, DT, CNL, and DEN. In mature oil shale, retained hydrocarbon and reduced porosity weaken logging signals, lowering accuracy to R2 = 0.63. In high-maturity intervals, hydrocarbon expulsion and porosity rebound improve accuracy (R2 = 0.69). Our approach provides a cost-effective, continuous method for evaluating lacustrine oil shale resources. It is particularly applicable to the evaluation of uncored wells.

  • New
  • Open Access Icon
  • Research Article
  • 10.3176/oil.2025.4.02
Oil shale electric heater and its optimization: a review
  • Oct 18, 2025
  • Oil Shale
  • Xiaoliang Zhao + 3 more

Oil shale is a type of unconventional energy with abundant reserves. In the in situ mining technology of oil shale, electric heating technology has become a research hotspot due to its multiple advantages, and electric heater is the core of this technology. Despite growing interest in electric heating for in situ oil shale extraction, there remains a lack of comprehensive reviews that focus specifically on the electric heater – its types, performance characteristics, and design optimization strategies. In this paper, the oil shale electric heater is taken as the research object. First, the four mainstream oil shale electric heating technologies – Shell’s in situ conversion process, ExxonMobil’s ElectrofracTM, geothermal fuel cell, and high-voltage power frequency electric heating technology – are analyzed, and their principles, characteristics, and limitations are elaborated in detail. Subsequently, the research status of electric heaters is discussed in depth, covering various types of heaters and their performance, and existing problems are identified. The key role of numerical simulation technology in the optimal design of electric heaters is emphasized. In the future, structural innovation and numerical simulation technology should be leveraged to further optimize the performance of oil shale electric heaters, continuously improving their heat efficiency, thereby promoting their extensive application in industrial fields.

  • New
  • Open Access Icon
  • Research Article
  • 10.3176/oil.2025.4.03
Organic-rich shale in Lianggaoshan Formation: study on macroscopic and microscopic mechanical properties and mechanism of influencing factors
  • Oct 18, 2025
  • Oil Shale
  • Yangbing Li + 7 more

This study investigates the mechanical properties of organic-rich shale from the Lianggaoshan Formation using uniaxial and triaxial tests, nanoindentation, and atomic force microscopy. Key parameters such as elastic modulus and hardness are analyzed with NanoScope Analysis software. The results indicate that flat-laminated shale outperforms corrugated-laminated shale in terms of fracturing potential. As laminae increase, rock strength decreases, enhancing fracability, while thicker laminae hinder fracturing. The elastic modulus trend is clay minerals > calcite > quartz > pyrite, with Young’s modulus negatively correlated with mineral deformation.

  • New
  • Open Access Icon
  • Research Article
  • 10.3176/oil.2025.4.01
Review on in situ conversion of oil shale
  • Oct 18, 2025
  • Oil Shale
  • Yue Li + 6 more

In situ conversion technology for oil shale is an innovative method of energy extraction that involves the underground heating of oil shale reservoirs to thermally crack kerogen into oil and gas. This approach avoids the environmental damage and high energy consumption associated with traditional mining methods and offers advantages such as reduced environmental impact, small ecological footprint, and low development costs. In this paper, a variety of in situ conversion technologies, including in situ conversion process (ICP), Electrofrac, geothermic fuels cells process (GFC), and supercritical water heating, are discussed in detail. The paper also analyzes the current state and development trends of in situ conversion technologies in China, and highlights the importance of advancing basic theoretical research and overcoming key technologies to enable large-scale utilization of oil shale resources. Continued research and improvement in in situ conversion technologies will enhance both the efficiency and sustainability of the energy industry.

  • Open Access Icon
  • Research Article
  • 10.3176/oil.2025.3.04
NMR response model of pore structure and oil occurrence of Chang 7 shale in Ordos Basin, China
  • Jul 1, 2025
  • Oil Shale
  • Z Chen + 7 more

This study analyzed 25 Chang 7 shale samples from the Ordos Basin, examining geochemical properties, mineral composition, nitrogen adsorption, mercury injection capillary pressure, and NMR T2 and T1–T2 spectra. The results indicate that the shale primarily contains type II1 and II2 kerogen, with mature thermal maturity. Organic-rich shales are enriched in clay and felsic minerals, while organic-lean shales show more dispersed mineral compositions. Nitrogen adsorption classified the shale into four types, with type H2 showing the best properties. The study developed pore size conversion models and clarified the occurrence characteristics of hydrogen nucleus components, providing valuable insights for NMR evaluation of shale reservoirs globally.

  • Research Article
  • 10.3176/oil.2025.3.01
Comprehensive utilization of oil shale: a minireview
  • Jul 1, 2025
  • Oil Shale
  • Fang Lu + 5 more

  • Research Article
  • 10.3176/oil.2025.2.03
Mechanical properties and wellbore stability of the oil shale formation in the Shahejie Formation
  • Jan 1, 2025
  • Oil Shale
  • S Du + 4 more

  • Research Article
  • 10.3176/oil.2025.3.03
Variation characteristics of biomarkers in shale products in thermal simulation: a case study of the Shahejie Formation in the Bohai Bay Basin
  • Jan 1, 2025
  • Oil Shale
  • J Wu + 5 more

  • Research Article
  • 10.3176/oil.2025.2.04
Research on deformation monitoring system of in situ heater in oil shale wells
  • Jan 1, 2025
  • Oil Shale
  • H Yang + 3 more

  • Research Article
  • 10.3176/oil.2025.3.02
Trace elements in oil shale ashes and waste wood ashes and their leachability with a focus on chromium
  • Jan 1, 2025
  • Oil Shale
  • K Roosalu + 4 more