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8th International Conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2024

作者： Wen, Zhang Liu, Manqin Miao, Xinyue Zhang, Li Hu, Shihao Zhao, Weidong Huang, Chunjian Wang, Min Zhang, Lei Xu, Le Tarim Oilfield Branch Company Petrochina Xinjiang841000 China Southwest Petroleum University School of Economics and Management Chengdu610500 China Cnpc R and D Center for Ultra Deep Complex Reservior Exploration and Development Xinjiang841000 China Southwest Petroleum University School of Electrical Engineering and Information Chengdu610500 China Southwest Petroleum University Network and Information Center Chengdu610500 China

ISBN: (纸本)9798331506230

This article systematically explores the evaluation and application of low-carbon and energy-saving technologies integrated with the Precedence Chart method. The article details the algorithm design of the Precedence Chart method and explains the evaluation process of the Precedence Chart method in combination with the evaluation case. Through actual cases, it shows the specific applications of these models in the evaluation of low-carbon and energy-saving technologies. Through evaluating and analyzing several low-carbon and energy-saving technologies in the Tarim region, excellent (or worthy of promotion), good (or average) technologies are identified and presented in the form of cases in this article. By evaluating and analyzing several lowcarbon and energy-saving technologies in the Tarim region, excellent, worthy of promotion, good, and average technologies are identified and presented in the form of cases in this article. Through the comprehensive evaluation and analysis of low-carbon and energy-saving technologies, this article not only provides specific guidance for the energy conservation work in the Tarim region but also provides a useful reference for the low-carbon development in other regions and industries. In addition, the research results of this article also help to promote the innovation and development of low-carbon and energy-saving technologies and provide strong support for the realization of green and sustainable development goals. © 2024 IEEE.

关键词： Energy saving

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Formation Mechanism and reservoir Quality Evaluation in Tight Sandstones Under a Compressional Tectonic Setting: The Jurassic Ahe Formation in Kuqa depression, Tarim Basin, China

SSRN

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SSrN 2024年

作者： Li, dong Wang, Guiwen Bie, Kang Lai, Jin Wang, Song Qiu, Haihua Guo, Hongbo Zhao, Fei Zhao, Xing Fan, Qixuan National Key Laboratory of Petroleum Resources and Engineering China University of Petroleum Beijing102249 China College of Geosciences China University of Petroleum-Beijing 102249 China Research Institute of Petroleum Exploration and Development Tarim Oilfield Company CNPC Xinjiang Korla841000 China R＆D Center for Ultra-Deep Complex Reservoir Exploration and Development CNPC Xinjiang Korla841000 China

The northern structural belt of Kuqa depression is adjacent to the South Tianshan orogenic belt. The reservoirs of the Jurassic Ahe Formation are controlled by sedimentation, diagenesis, and tectonics, and show strong heterogeneity, thereby hindering effective natural gas exploration and development. A comprehensive analysis integrating sedimentation, diagenesis, and tectonics is performed to unravel the reservoir formation mechanism and distribution of reservoir quality. results show that reservoir properties are generally environmentally selective. Coarse grained sandbodies (gravelly sandstones) formed in high depositional-energy have the best physical properties, while fine sandstone and mudstone with low depositional energy is easily to be tightly compacted, and have poor reservoir quality. Porosity usually decreases with compaction and cementation, and increases due to dissolution. Clay minerals filling pores result in a deterioration of the pore structure. Microfracture formed by fracturing can connect the matrix pores, effectively improving the reservoirs’ permeability. The differential distribution of fractures and in-situ stress plays an important role in modifying the reservoir quality. The in-situ stress has obvious control over the matrix physical properties and fracture effectiveness of reservoir. The matrix physical properties are negatively correlated with the value of horizontal stress difference (Δσ). The smaller the strike divergence between the natural fracture and SHmax, the lower the value of Δσ in the fracture layers is, and the better the fracture effectiveness is. Under the control of ternary factors on the reservoir, sedimentation-diagenesis jointly affect the matrix reservoir quality, while fractures and in-situ stress caused by tectonism affect the permeability and hydrocarbon productivity of the reservoir. Affected by ternary factors, the reservoir quality and hydrocarbon productivity show obvious differences within the various structural

关键词： Petroleum prospecting

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Interpretable Metric Learning: A Weight distribution Optimization Perspective

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Procedia Computer Science 2024年 247卷 93-102页

作者： Xinyue Miao Le Xu Zhang Wen Lei Zhang Zhiqiang Wei Changtao Wu Zhengkai Shang Kelin Wang Qianxing deng Fuyuan Wei Liyan Liu R&D Center for Ultra Deep Complex Reservior Exploration and Development CNPC 841000 Xinjiang China Network and Information Center Southwest Petroleum University Chengdu 610500 Sichuan Province China Tarim Oilfield Branch Company Petrochina 841000 Xinjiang China School of Computer Science and Software Engineering Southwest Petroleum University Chengdu China

Metric learning aims to reduce intra-class distance and expand inter-class distance. This paper proposes a distribution optimization algorithm that incorporates interpretable feature engineering (dOIFE). dOIFE explores the local interpretability of each instance, reconstructs the feature space of the training set with reverse weighting, and optimizes the feature space of the target domain to address metric issues. Our approach innovatively derives interpretability weights from the classifier's perspective and applies fine-grained weighting to the instances to optimize the spatial metric. For any classifier, we conduct local interpretability analysis on its results to obtain fine-grained sample weights. In the training space, we designed an interpretable feature engineering method to expand inter-class distance and reduce intra-class distance. For the test space, we developed a unified method that combines ensemble inference and distance metrics to optimize feature distribution. We conducted experiments on classical balanced datasets, long-tail datasets, and image datasets. Comparative experiments with nine distance metric learning algorithms demonstrated the superiority of our algorithm. Statistical tests show that our algorithm can be applied to various classification models, improve classification performance, and offer a certain level of interpretability.

关键词： Metrics Learning Classification Algorithm

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Microscopic Pore Structure and Connectivity in ultra-deep Carbonate reservoirs: A Case Study from the Ordovician Yijianfang Formation, Tarim Basin

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SSrN 2024年

作者： Liu, Yishuai Sun, Chong Li, Jing Xiong, Chang Zheng, Mingjun Liu, Chen Hongshan, Wang Wu, Mingyang College of Pipeline and Civil Engineering China University of Petroleum Qingdao266580 China PetroChina Tarim Oilfield Company Korla841000 China R&D Center for Ultra-deep Complex Reservoir Exploration and Development China National Petroleum Corporation Korla841000 China Engineering Research Center of Ultra-deep Complex Oil and Gas Reservoir Exploration and Development Xinjiang Uygur Autonomous Region Korla841000 China Co. Ltd Qingdao266520 China School of Geoscience China University of Petroleum Qingdao266580 China

The pore structure and its connectivity within carbonate reservoirs play a crucial role in determining both storage capacity and fluid flow mechanisms. This study investigates the types and distribution characteristics of reservoir pores in ultra-deep carbonate reservoirs, employing three-dimensional pore network models for enhanced understanding. Additionally, the multifractal characteristics of pore throats and pores are explored, alongside their relationship with mineralogical composition, using a combination of multifractal theory, high-pressure mercury injection, and low-temperature nitrogen adsorption experiments. By comparing these findings with data from shallow and deep carbonate reservoirs, the unique characteristics of pore structure and connectivity in ultra-deep environments are elucidated. The results demonstrate that: (1) Intragranular dissolution pores and microfractures are predominantly developed in ultra-deep carbonate reservoirs, while matrix pores exhibit underdevelopment and poor interconnectivity. Microfractures serve as significant seepage pathways, and the cooperative pore network established through fracture-pore communication effectively enhances both storage capacity and permeability. (2) Calcite and dolomite exert a dominant influence on the multifractal characteristics, with the same mineral exhibiting opposite effects on pore throats (10 nm-330 μm) and pores (2-110 nm). Notably, both positive and negative correlations between calcite content and the heterogeneity of pore throats and pores were observed. (3) Based on the multifractal parameters [[EQUATION]] and [[EQUATION]], pore throats exhibit stronger heterogeneity but superior connectivity compared to pores. This is attributed to the irregular shape of micron-scale pore throats, which experience increased heterogeneity under hydrothermal fluid activity. Moreover, microfractures formed during multi-stage tectonic movements connect with previously isolated pore throats, effectively im

关键词： Flow of fluids

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The Evaluation Method of Tarim Low-carbon and Energy-saving Technologies Integrating the Precedence Chart Method

The Evaluation Method of Tarim Low-carbon and Energy-saving ...

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2024 8th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE)

作者： Zhang Wen Manqin Liu Xinyue Miao Li Zhang Shihao Hu Weidong Zhao Chunjian Huang Min Wang Lei Zhang Le Xu Tarim Oilfield Branch Company Petrochina Xinjiang China School of Economics and Management Southwest Petroleum University Chengdu China R&D Center for Ultra Deep Complex Reservior Exploration and Development CNPC Xinjiang China School of Electrical Engineering and Information Southwest Petroleum University Chengdu China Network and Information Center Southwest Petroleum University Chengdu China

ISBN: (数字)9798331506230

ISBN: (纸本)9798331506247

关键词： Industries Technological innovation Accuracy Energy conservation Entropy reliability Sustainable development

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Spatial Structure Characterization Technology and Engineering Practice of ultra-deep Fault-Controlled Carbonate reservoir

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Strategic Study of CAE 2024年第2期26卷 255-268页

作者： Jianfa, Han Chong, Sun Guangyou, Zhu Yintao, Zhang Guohui, Li Jiakai, Hou Hao, Li Zhiwen, ding PetroChina Tarim Oilfield Company Xinjiang Korla841000 China R&D Center for Ultra-deep Complex Reservoir Exploration and Development China National Petroleum Corporation Xinjiang Korla841000 China Engineering Research Center of Ultra-deep Complex Oil and Gas Reservoir Exploration and Development Xinjiang Uygur Autonomous Region Xinjiang Korla841000 China School of Geoscience Yangtze University Wuhan430100 China Research Institute of Petroleum Exploration and Development Beijing100083 China Beijing100083 China

In the context of actively promoting deep geological engineering, ultra-deep fault-controlled fractured carbonate reservoirs have become a focal point in oil and gas exploration and development. Precise interpretation of ultra-deep strike-slip faults, internal configuration modeling of fractured reservoirs, assessment of reserves sculpted by fault control, efficient well deployment, and enhanced recovery have emerged as crucial scientific challenges and technological barriers in increasing reserves and production in the ultra-deep domain. This study comprehensively constructs fracture structural analysis techniques utilizing regional stress field research, outcrop analysis, three-dimensional seismic interpretation, and physical modeling;this is based on dynamics, kinematics, and geometry, as well as different stages, grades, properties, zones, and layers. It elucidates the vertical layering and lateral segmentation characteristics of strike-slip faults, revealing geological laws governing reservoir control, storage, and hydrocarbon accumulation, ultimately leading to the discovery of billion-ton-level mega oilfields in ultra-deep fault-controlled fractured reservoirs. Based on dynamic/static data, the internal configuration of fault-controlled fractured reservoirs is finely delineated, and a quantitative characterization of reservoirs is achieved through the integration of well‒seismic data, facilitating efficient well deployment and reservoir reserve assessment. This approach has supported the discovery and realization of billion-ton-level oil and gas reserves in the rich oilfields. Leveraging the quantitative characterization of fault-controlled reservoirs, targeted strategies to improve recovery rates are proposed, driving the efficient development of 5×106-ton mega oilfields, thereby establishing a paradigm for increasing reserves and production in ultra-deep fault-controlled carbonate reservoirs. This study could serve as a reference for similar oil and gas res

关键词： Petroleum reservoir evaluation

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Study on the sensitivity and hazard of combustion and explosion in 175 MPa ultra-high pressure blowout gas mixtures

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Journal of Loss Prevention in the Process Industries 2025年 98卷

作者： Shaobo Feng Zhixiong Xu rui Zhou Bo Zhou Kun Huang Qi Jing Hongtao Jing CR&D Center for Ultra-Deep Complex Reservoir Exploration and Development CNPC Korla 841000 China Engineering Research Center for Ultra-deep Complex Reservoir Exploration and Development Xinjiang Uygur Autonomous Region Korla 841000 China Xinjiang Key Laboratory of Ultra-deep Oil and Gas Korla 841000 China Tarim Oilfield Company PetroChina Korla Xinjiang 841000 China CNPC XIBU Drilling Engineering Company Limited Karamay Xinjiang 834000 China College of Safety and Ocean Engineering China University of Petroleum Beijing Beijing 102249 China

At present, the underground pressure of ultra-deep wells can reach up to 175 MPa, making blowouts under such conditions significantly more hazardous. However, the safety distance for the control system of the Christmas tree has not yet been effectively determined, primarily due to the lack of accurate assessment of the gas ignition conditions. To scientifically evaluate the blowout-induced combustion and explosion risks of ultra-high-pressure gas mixtures in ultra-deep wells, this study conducted ignition experiments and developed a theoretical prediction model to comprehensively analyze the ignition sensitivity parameters and explosion hazards of gas mixtures at 175 MPa. The results show that increasing the ignition energy from 20 mJ to 1000 mJ lowers the lower explosion limit (LEL) by 13.77 %, while raising the hot surface ignition temperature from 820 °C to 1600 °C reduces the LEL by 11.92 %. Under blowout conditions, the explosion overpressure decreases from 1.90 bar to 0.94 bar—cut nearly in half—and the flame temperature drops from 754.21 °C to 621.34 °C, indicating a substantial reduction in explosion severity. With increasing initial pressure, fewer cracks appear on the surface of spherical flames of the same radius, suggesting enhanced flame stability. Based on thermodynamic and heat transfer theory, a theoretical prediction model for the minimum ignition energy (MIE) of blowout gas mixtures was proposed, incorporating analysis of energy loss mechanisms. The model's prediction error remains within 30 %. This study provides a scientific foundation for the prevention and control of combustion and explosion risks associated with blowouts in ultra-high-pressure, deep oil and gas reservoirs.

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