The shale oil potential of Permian Lucaogou shales (Southeastern Junggar Basin) evaluated by a new quantitative index based on geochemometric methods

Chang, Xiangchun; Liu, Tianjiao; Shi, Benwei; Zhang, Guanlong; Yu, Haibo; Zhang, Pengfei

doi:10.1016/j.marpetgeo.2023.106434

Cited by 6 publications

(4 citation statements)

References 29 publications

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“…Xiaoyu Li et al [10] proposed an Incremental Capacity Analysis (ICA) method for estimating battery SOH using a combination of GCA and entropy weight methods, which was verified to be effective. Chang, XC et al [11] combined principal component analysis (PCA), gray correlation analysis (GCA), hierarchical cluster analysis (HCA) and hierarchical analysis method (AHP) for evaluating shale oil potential. Xie XJ et al [12] proposed a green design of kindergarten furniture based on the hierarchical analysis method (AHP) combined with the gray correlation analysis (GCA) Evaluation method.…”

Section: Related Methodologymentioning

confidence: 99%

Growable design of passenger vehicle interior space based on FAHP and FQFD

Liu,

Chen,

Liang

2024

PLoS ONE

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The increasingly shortened development cycle of smart vehicles has led to a qualitative shift in the nature of automotive products. Growing spatial design of vehicle interiors can effectively satisfy users’ personalisation preferences and increase their willingness to buy, as well as mitigating the environmental pollution caused by the problem of rapid replacement. Considering the subjectivity and uncertainty of users’ emotional needs, this study adopts the FAHP method to comprehensively analyse and rank the SET series of factors, then combines the grey correlation method with the correlation analysis of the areas related to the interior space of the automobile, constructs the sample of the interior space of the automobile and extracts the kansei words of the space sample. Intentional vocabulary mean scores were calculated to factor analyses through kansei engineering, next the fuzzy QFD quality house was built to make affective semantic design associations and derive design weights, which are then used to guide the design and ultimately realise the design of a dynamic automotive interaction scenario. The results of the study show that the integration of different theories can reduce the uncertainties in accessing users’ emotional needs. At the same time, it can provide systematic guidance for the interaction design of a growable automobile in terms of multiple dimensions of interior space connectivity, spatial layout, and perceptual experience, as well as provide valuable suggestions for the subsequent development of interior spaces.

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Section: Related Methodologymentioning

confidence: 99%

Growable design of passenger vehicle interior space based on FAHP and FQFD

Liu,

Chen,

Liang

2024

PLoS ONE

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“…The southeastern Junggar Basin is an important field of oil and gas exploration [1][2][3][4][5]. Within this basin, the Upper Permian Lucaogou Formation (P 2 l), with organic-rich source rocks (a TOC content of up to 20 wt.%), is a primary target for shale oil exploration in the Bogeda Piedmont Depression.…”

Section: Introductionmentioning

confidence: 99%

“…Based on outcrop evidence from Hongyanchi (HYC), Jingjingzigou (JJZG), Yaomoushan (YMS), Dahuangshan (DHS), Xiaolongkou (XLK), and Guodikeng (GDK), and drilling cores from the Qi-1 and Xinjican-1 wells, the P 2 l is divided into four members, namely, P 2 l 1 , P 2 l 2 , P 2 l 3 , and P 2 l 4 , from bottom to top. In the eastern Junggar Basin, the stratigraphic unit correlative to the P 2 l is the Pingdiquan Formation (P 2 p) (Figure 2) [5,11].…”

Section: Introductionmentioning

confidence: 99%

Hydrocarbon Source Rock Evaluation of the Lucaogou Shale in the Periphery of Bogeda Mountain (SE Junggar Basin, China) and Its Implications for Shale Oil Exploration: Insights from Organic Geochemistry, Petrology, and Kinetics Pyrolysis

Zhang,

Yang,

Liu

et al. 2024

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Since the discovery of the vast Jimusaer shale oilfield in the southeastern Junggar Basin in 2012, there has been considerable interest in neighboring areas around Bogeda Mountain that have shale oil potential. The primary productive interval in the basin, the Middle Permian Lucaogou Formation (P2l), is well-developed in the areas of Qitai, Mulei, Shiqiantan, Chaiwopu, and Miquan. In this study, we conducted an assessment of the hydrocarbon generation potential of the P2l in these five areas and compared it with that of the P2l in the Jimusaer oilfield, which were determined by GC-MS, total organic carbon (TOC) and vitrinite reflectance (Ro) measurements, Rock-Eval pyrolysis, and organic petrology to investigate the type, origin, thermal maturity, hydrocarbon potential, and oil/gas proneness of organic matter in the P2l. Additionally, we applied open-system pyrolysis of hydrocarbon generation kinetics to explore differences in hydrocarbon generation and expulsion across various P2l mudstone/shale in the southeastern Junggar Basin. The findings of this study revealed that the P2l shale in Qitai and Miquan areas contains more abundant and lower thermally mature organic matter (early mature–mature stage), characterized by primarily Type II1–I kerogen, similar to that found in the P2l shale of the Jimusaer oilfield. Conversely, the P2l shale in Mulei, Shiqiantan, and Chaiwopu contains less abundant and more thermally mature organic matter (mainly mature–highly mature stage), dominated by Type II2–III kerogen. Consequently, shale in these areas is considerably less desirable for oil exploration compared to the Jimusaer shale. The semi-deep to deep lake facies in Miquan and Qitai exhibit the most promising exploration potential. This study can serve as a guide for shale oil exploration in the southeastern Junggar Basin.

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“…The large consumption of petroleum, natural gas and coal resources makes it essential to explore the new energy. According to the statistics, shale oil has the huge development potential in China with its storage capacity approximately 4.48 × 10 9 t [1][2][3][4]. Shale oil production has become an attractive alternative to conventional petroleum industry.…”

mentioning

confidence: 99%

Influence of High-Density Bedding Plane Characteristics on Hydraulic Fracture Propagation in Shale Oil Reservoir

Yan,

Wang,

2024

CMES

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The existence of high-density bedding planes is a typical characteristic of shale oil reservoirs. Understanding the behavior of hydraulic fracturing in high-density laminated rocks is significant for promoting shale oil production. In this study, a hydraulic fracturing model considering tensile failure and frictional slip of the bedding planes is established within the framework of the unified pipe-interface element method (UP-IEM). The model developed for simulating the interaction between the hydraulic fracture and the bedding plane is validated by comparison with experimental results. The hydraulic fracturing patterns in sealed and unsealed bedding planes are compared. Additionally, the effects of differential stress, bedding plane permeability, spacing, and the friction coefficient of the bedding plane are investigated. The results showed that a single main fracture crossing the bedding planes is more likely to form in sealed bedding planes under high differential stress. The decrease in bedding plane permeability and the increase in the friction coefficient also promote the fracture propagating perpendicular to the bedding planes. Shale with high-density bedding planes has a poorer fracturing effect than that with low-density bedding planes, as the hydraulic fracture is prone to initiate and propagate along the bedding planes. Moreover, higher injection pressure is needed to maintain fracture propagation along the bedding. An increase in bedding density will lead to a smaller fracturing area. Fracturing fluid seepage into the bedding planes slows shale fracturing. It is recommended that increasing the injection flow rate, selecting alternative fracturing fluids, and employing multiwell/multi-cluster fracturing may be efficient methods to improve energy production in shale oil reservoirs. KEYWORDSHydraulic fracturing; bedding planes; shale; unified pipe-interface element method Nomenclature σEffective stress tensor α Biot coefficient p Fluid pressure

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The shale oil potential of Permian Lucaogou shales (Southeastern Junggar Basin) evaluated by a new quantitative index based on geochemometric methods

Cited by 6 publications

References 29 publications

Growable design of passenger vehicle interior space based on FAHP and FQFD

Growable design of passenger vehicle interior space based on FAHP and FQFD

Hydrocarbon Source Rock Evaluation of the Lucaogou Shale in the Periphery of Bogeda Mountain (SE Junggar Basin, China) and Its Implications for Shale Oil Exploration: Insights from Organic Geochemistry, Petrology, and Kinetics Pyrolysis

Influence of High-Density Bedding Plane Characteristics on Hydraulic Fracture Propagation in Shale Oil Reservoir

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