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Comparison of end-Ediacaran to earliest Cambrian microbialites in the Tarim Basin， China: diversities and paleo-environment

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Journal of Earth Science 2025年

作者： Ying Li Hongxia Jiang Chonghao Sun Guo Yang Lu Zhang Yongjie Hu State Key Laboratory for Mineral Deposits Research， School of Earth Sciences and Engineering and Frontiers Science Center for Critical Earth Material Cycling， Nanjing University Hebei International Joint Research Center for Ancient Human Morphology and Evolution R&D Center for Ultra-Deep Complex Reservoir Exploration and Development，CNPC Key Laboratory of Carbonate Reservoir，CNPC China University of Geosciences (Beijing) Sinopec International Petroleum Exploration and Production Corporation

The Ediacaran-Cambrian (E-C) transition represents a crucial interval in Earth's history， with profound biological and environmental changes. Microbialites provide crucial records of organism–environment interactions during this transition. Here， the terminal Ediacaran and early Cambrian microbialite types and their depositional environments in the Tarim Basin were analysed using optical microscopy， SEM (Scanning Electron Microscopy)， and raman spectroscopy. Three types of microbialites (microbial laminite， stromatolite， and thrombolite) occur in both the Ediacaran Qigebulak Formation and the Cambrian Xiaoerbulak Formation. Moreover， thrombolitic laminite， renalcis framestone， and foam spongy dolostone are identified in the Xiaoerbulak Formation. The Qigebulak Formation features upward energy-enhancing cycles from intertidal-subtidal to grain bank facies， while the Xiaoerbulak Formation records a sedimentary transition from restricted to open platform environments. Across this interval， microbialites exhibit: (i) a slight decline in microbial carbonate abundance， marked by reduced microbial laminite and increased thrombolite; (ii) increased microbial diversity， evidenced by more varied microbialite types and the preservation of more complex organic matter; and (iii) the emergence of calcified filaments in early Cambrian microbial laminites. These variations likely record microbial evolutionary responses to extrinsic paleoenvironmental changes. These findings are significant for those focusing on paleo-environmental evolution during the Ediacaran-Cambrian transition.

关键词： Ediacaran Qigebulak Formation early Cambrian Xiaoerbulak Formation microbialite Tarim Basin

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Field Test of Lithium Extraction in Oilfield Associated Water: A Case Study of YQ Treatment Station

Field Test of Lithium Extraction in Oilfield Associated Wate...

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2024 Abu dhabi International Petroleum Exhibition and Conference, AdIPEC 2024

作者： Miao, Xinyue Wen, Zhang ren, Yongcang Wang, Min Wang, Kelin Zhao, Zhiyong Liu, Zhiming Han, Guoqiang Ma, rui Chen, Xin Zhang, Lei deng, Qianxing Tarim Oilfield Company CNPC Xinjiang Province Korla City China Engineering Research Center for Ultra-deep Complex Reservoir Exploration and Development Xinjiang Uygur Autonomous Region Xinjiang Province Korla City China R&D Center for Ultra Deep Complex Reservior Exploration and Development CNPC Xinjiang Province Korla City China Southwest Petroleum University Sichuan Province Chengdu City China Xinjiang Key Laboratory of Ultra-deep Oil and Gas Xinjiang Province Korla City China Shanghai Huiliyuan Technology Co. Ltd. Shanghai City China BGP CNPC Hebei Province China

ISBN: (纸本)9781959025498

The oilfield associated water is complex in composition and poses significant hazards, necessitating treatment to prevent environmental pollution. Taking the Yingqian Treatment Station as an example, it processes approximately 2,400m3 of water daily. Sampling and testing revealed that the total hardness of the water exceeds 20,000mg/L, with a Mg2+ concentration of about 1,200mg/L. Most importantly, the Li+ concentration reached 150mg/L, meeting the requirements for economic development (≥50mg/L). Consequently, related research and experiments were promptly initiated. Owing to the associated water's high total hardness and low lithium content, which significantly differ from saturated brine, traditional lithium extraction techniques cannot be directly applied. In response, research has identified that manganese-based adsorbents offer the advantage of high adsorption capacity, but require concentrated acid for desorption. Conversely, bipolar membrane electrodialysis has the merit of producing lithium products with high purity;however, the byproduct concentrated acid is a hazardous chemical that necessitates proper disposal. Consequently, a combined technological approach has been proposed to leverage the strengths of both methods. The lithium extraction experiment from oil-gas field associated water at the YQ Treatment Station in China was conducted from May to June 2023, successfully producing 2.05kg of monohydrate lithium hydroxide from 116m3 of associated water. However, the experiment encountered numerous issues. For instance, the LiCl solution after a single desorption with HCl failed to meet the feed concentration requirements for subsequent processes. After extensive argumentation, the solution was adjusted by using a mixture of LiCl and HCl from the first desorption to replace HCl as the desorbent, and adjusting the desorption process from one stage to two, thereby increasing the LiCl concentration. The daily production of associated water in blocks such as Yi

关键词： Gas industry

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Origin of gas condensate reservoir in Fuman Oilfield, Tarim Basin, NW China

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Petroleum exploration and development 2023年第6期50卷 1295-1307页

作者： WANG Qinghua Tarim Oilfield Company PetroChinaKorlaXinjiang 841000China R&D Center for Ultra-Deep Complex Reservoir Exploration and Development CNPCKorlaXinjiang 841000China Engineering Research Center of Ultra-deep Complex Oil and Gas Reservoir Exploration and Development Xinjiang Uygur Autonomous RegionKorlaXinjiang 841000China

To understand the reservoir property and hydrocarbon accumulation conditions of the Middle and Upper Ordovician intraplatform shoal between ultra-deep main strike-slip faults in Fuman Oilfield of the Tarim Basin, China, the main strike-slip faults in and around well Fd1 in the basin were analyzed in terms of sedimentary facies, sequence stratigraphy, intraplatform shoal reservoir property, and oil and gas origins, based on drilling data. The Yingshan Formation intraplatform shoal between the main strike-slip faults is superimposed with low-order faults to form a new type of hydrocarbon play. Firstly, hydrocarbons generated from the Lower Cambrian Yuertusi Formation source rocks vertically migrated into the second member of Yingshan Formation through the main strike-slip faults, and then migrated laterally until they were accumulated. A small amount of oil from Well Fd1 came from the Yuertusi Formation source rocks in the mature stage, and a large amount of gas originated from oil cracking in the ultra-deep reservoirs. Therefore, the secondary gas condensate reservoir in Well Fd1 is characterized by high gas to oil ratio, dry gas (dryness coefficient being 0.970) and hybrid origin. This new type of hydrocarbon play characterized by intraplatform shoal and low-order fault suggests a prospect of continuous hydrocarbon-bearing area in Fuman Oilfield, which will expand the ultrap-deep oil and gas exploration in the oilfield.

关键词： low-order fault intraplatform shoal ultra-deep Yingshan Formation oil cracked gas condensate gas Fuman Oilfield Tarim Basin

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research on the Calculation Method of CO2 Storage Volume and its Application in L reservoir

Research on the Calculation Method of CO2 Storage Volume and...

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2025 International Petroleum Technology Conference, IPTC 2025

作者： Wu, Zangyuan Feng, Qihong Lian, Liming Meng, Xiangjuan Xu, YanLong Wang, Sen Wu, Kuankuan Zhou, Wei Luo, Min Li, Yang Fan, Jin Cheng, ronghong Wu, Mimi Huang, Xingning School of Petroleum Engineering China University of Petroleum East China China Tarim Oilfield Company PetroChina Korla China R&D Center for Ultra-Deep Complex Reservoir Exploration and Development CNPC Korla China Research Institute of Petroleum E&D Petrochina CNPC Beijing China Chengdu CK Energy Technology Co. Ltd. Chengdu China

ISBN: (纸本)9781959025436

This paper addresses the difficulty in calculating CO2 storage volume due to the complexity of CO2 occurrence states in the CCUS process. A method for calculating CO2 storage volume is proposed, designing well networks throughout the entire lifecycle of CCUS to meet the demands of both CO2 EOr and storage stages. This extends the implementation time of CO2 EOr to enhance oil recovery and ensures effective CO2 storage while maximizing oil production, aligning with the global strategy of green and low-carbon development. Initially assuming that the pore volume of produced hydrocarbons is completely occupied by CO2 and considering dissolution retention and mineral reaction retention, the theoretical carbon storage volume of the target reservoir is predicted to determine the upper limit of storage volume. Building on flash calculation, utilizing equations of state-activity models, equations of state-equations of state models, and chemical reaction kinetics models, model parameters were fitted and corrected through experiments on CO2 multiphase non-isothermal flow, dissolution, solid-phase deposition, and mineral reactions to develop a CO2 storage volume prediction model and proprietary software. Finally, reliability verification was conducted using analogous block comparison methods. The technology proposed in this paper has been applied in the integrated CO2 EOr and storage scheme for the L reservoir, predicting saturation fields, solubility fields, and various storage mechanisms during the CO2 flooding and storage process and providing three-dimensional field changes. results indicate that the theoretical carbon storage upper limit for the L reservoir is 9.88 million tons;under current reservoir temperature and pressure conditions, CO2 dissolution loss in formation connate water is 0.05 t/m3, and in residual oil it is 0.32 t/t, resulting in an effective storage volume of 7.47 million tons (with analogous block comparison results at 7.78 million tons, verifying the rel

关键词： Oil well flooding

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Integrated Well Network design Mode for CO2 EOr and Storage and its Application in L reservoir

Integrated Well Network Design Mode for CO2 EOR and Storage ...

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2025 International Petroleum Technology Conference, IPTC 2025

作者： Wu, Zangyuan Tang, Yongliang Lian, Liming Zhou, daiyu Zhao, Haitao Shao, Guangqiang Feng, Qihong Zhou, Wei Li, Hong Bian, Wanjiang Zhang, Liang du, Hongbao Luo, Min Huang, Xingning Tarim Oilfield Company PetroChina Xinjiang Korla China R&D Center for Ultra-Deep Complex Reservoir Exploration and Development CNPC Xinjiang Korla China School of Petroleum Engineering China University of Petroleum East China Qingdao China Research Institute of Petroleum E&D Petrochina CNPC Beijing China Chengdu CK Energy Technology Co. Ltd. Sichuan Chengdu China

ISBN: (纸本)9781959025436

This paper addresses the challenge of difficulty in adjusting late-stage production in water-flooded reservoirs and proposes an integrated well network design mode for CO2 enhanced oil recovery (EOr) and storage. The well network is designed according to the full life cycle of carbon capture, utilization, and storage (CCUS), meeting the requirements of both CO2 EOr and storage phases. It extends the implementation time of CO2 EOr schemes to enhance oil recovery while ensuring effective CO2 storage, aligning with the overall strategy of global green and low-carbon development. The overall approach involves the use of a three-dimensional CO2 flooding injection and recovery well network, with progressive development in the vertical stratigraphic layers to maximize the utilization of existing old wells. The stratigraphic reconstruction involves the CO2 flooding injection and recovery well network, ensuring that new gas injection wells meet the requirements for CO2 injection processes and production rates, while also serving as replacements for gas injection in other stratigraphic layers. Production wells make use of the original old wells, and well completion methods are adjusted to achieve the development of replacement layers. The "top injection, middle production, bottom support" three-stage development method is designed to fully utilize the high points of reservoir microstructures and bottom water energy. Finally, well network optimization is achieved through streamline tracking simulation methods. The proposed technology has been applied in the CO2 enhanced oil recovery plan for the L reservoir. Initially focusing on CO2 flooding for oil recovery and shifting to CO2 storage later, it is projected to achieve a cumulative CO2 injection of tens of millions of tons over 46 years (including 40% recycled injection), with a displacement factor reaching 1.57PV. After deducting the recycled carbon amount, the cumulative carbon storage exceeds 6 million tons, affecting a vo

关键词： Crude oil

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Optimization calculation method of ultra-deep production logging velocity profile correction coefficient

Optimization calculation method of ultra-deep production log...

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Internet of Things, Automation and Artificial Intelligence (IoTAAI), International Conference on

作者： Huawei Wang Lei Zhu Xianyuan Liu Zhizhen Liu Wenyuan Zhou Longmei Tian Wenguang Song Tarim Oilfield Company PetroChina Korla China R&D Center for Ultra-Deep Complex Reservoir Exploration and Development CNPC Korla China Engineering Research Center for Ultra-Deep Complex Reservoir Exploration and Development Xinjiang Uygur Autonomous Region Korla China School of Computer Science and Engineering Guangdong Ocean University Yangjiang China

ISBN: (数字)9798350386974

ISBN: (纸本)9798350386981

In recent years, with the continuous development of China's industry, the country's demand for petroleum energy has also increased. Therefore, maintaining stable production in oil fields is crucial for ensuring the stable development of the Chinese economy. dynamic monitoring of production logging is an important means of stabilizing and increasing oil and gas production. Generally, the flow rate values of fluids in each production layer in the production wellbore are measured using a turbine flowmeter. When measuring flow in the production wellbore using a turbine flowmeter, it is placed at the center of the wellbore fluid due to supporting equipment. The flow value measured by the turbine flowmeter is the flow value at the center of the wellbore. during the measurement process, when the turbine flowmeter is centered, it reflects the velocity Va of the fluid in the middle of the casing wellbore. In order to accurately obtain the cross-sectional flow rate value of the wellbore, it is necessary to measure the velocity value Vm of the fluid in the cross-section of the casing wellbore. At this point, dividing Vm by Va is denoted as Cv. The traditional method takes Cv as a constant value of 0.83. By studying the fluid velocity value in ultra deep production logging, it was found that the value Cv is not a constant value of 0.83. This value is closely related to the wellbore inner diameter, the ratio of turbine blade diameter to wellbore inner diameter, fluid density value, fluid viscosity value, and average fluid velocity value. This article designs an iterative optimization calculation method to calculate the Cv value. Comparing and analyzing the results of iterative optimization calculation with experimental values, it was found that the calculation accuracy of this method reached 97%. It can fully meet the requirements of calculating the fluid velocity value in the wellbore for production logging.

关键词： Fluids Accuracy Oils Optimization methods Production Flowmeters Iterative methods Velocity measurement Turbines Monitoring

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Study on the Seepage Characteristics of deep Tight reservoirs Considering the Effects of Creep

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Energy Engineering 2025年第5期122卷 1735-1754页

作者： Yongfu Liu Haitao Zhao Xingliang deng Baozhu Guan Jing Li Chengqiang Yang Guipeng Huang R&D Center for Ultra-Deep Complex Reservoir Exploration and Development China National Petroleum CorporationKorla841000China National Key Laboratory of Deep Oil and Gas China University of Petroleum(East China)Qingdao266580China

The seepage characteristics of shale reservoirs are influenced not only by multi-field coupling effects such as stress field,temperature field,and seepage field but also exhibit evident creep characteristics during oil and gas *** complex fluid flow in such reservoirs is analyzed using a combination of theoretical modeling and numerical *** study develops a comprehensive mathematical model that integrates the impact of creep on the seepage process,with consideration of factors including stress,strain,and time-dependent *** model is validated through a series of numerical experiments,which demonstrate the significant influence of creep on the seepage *** results indicate that the rock mechanical parameters and creep constitutive model were determined through triaxial compression tests and uniaxial creep tests.A creep-seepage coupling control equation for shale was established based on the Burgers creep *** absolute value of the volumetric strain of shale increases rapidly in the initial creep stage,and the increase in vertical stress accelerates the rock’s creep *** the deceleration creep stage,the volumetric strain of the reservoir increases rapidly,leading to a significant decrease in *** the stable creep stage,the pores and fractures in the rock are further compressed,causing a gradual reduction in permeability,which eventually stabilizes.

关键词： Tight reservoir mechanical parameter creep model multi-field coupling seepage characteristics

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Interpretable Metric Learning: A Weight distribution Optimization Perspective 11th

Interpretable Metric Learning: A Weight Distribution Optimiz...

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11th International Conference on Applications and Techniques in Cyber Intelligence, ATCI 2023

作者： Miao, Xinyue Xu, Le Wen, Zhang Zhang, Lei Wei, Zhiqiang Wu, Changtao Shang, Zhengkai Wang, Kelin deng, Qianxing Wei, Fuyuan Liu, Liyan R&D Center for Ultra Deep Complex Reservior Exploration and Development CNPC Xinjiang841000 China Network and Information Center Southwest Petroleum University Sichuan Province Chengdu610500 China Tarim Oilfield Branch Company Petrochina Xinjiang841000 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. © 2024 The Authors. Published by Elsevier B.V.

关键词： Optimization algorithms

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The Evaluation Method of Tarim Low-carbon and Energy-saving Technologies Integrating the Precedence Chart Method 8

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

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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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Basic principles of elastic two-phase method for gas wells and the issues to be noted and its simplified applications and suggestions

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Natural Gas Industry 2025年第5期45卷 79-86页

作者： Sun, Hedong Zhu, Songbai Yao, Chao Zhao, Longfei Cao, Wen Cao, Wen Yang, Xiaoying Li, Mengqin PetroChina Research Institute of Petroleum Exploration & Development Beijing100083 China PetroChina Tarim Oilfield Company Xinjiang Korla841000 China CNPC R&D Center for Ultra-Deep Complex Oil & Gas Reservoir Exploration and Development Xinjiang Korla841000 China Xinjiang Engineering Research Center for Ultra-deep Complex Reservoir Exploration and Development Xinjiang Korla841000 China

The elastic two-phase method, as a way to calculate the geological reserves and technically recoverable reserves within the single-well control range of low-permeability gas reservoir by gas driving, plays an important role in estimating the controlled reserves of exploration wells in the natural gas exploration stage or verifying the reserves of gas reservoirs in the early stage of production. However, the applicable conditions of the commonly used simplified formulas are not defined, which causes deviations in the single-well controlled reserves of gas well. Based on the dimensionless analytical solution of a vertical well in a bounded gas reservoir during the pseudo-steady flow stage, this paper derives and presents in detail the dimensional calculation formulas in the forms of pressure method, pressure square method, pseudo-pressure method and normalized pseudo-pressure method of the elastic two-phase method for gas wells. In addition, the problems and their solutions in the process of formula simplification are analyzed. Finally, comprehensive verification is carried out based on simulation case and field case, respectively. The following results are obtained. First, when the pressure is lower than 20.1 MPa, the gas compressibility factor can be simplified to 1/pi, and the calculation formula of the elastic two-phase method can be simplified. Second, when the pressure is higher than 20.1 MPa, the original pressure should be directly used or the value of the gas compressibility factor under the condition of the maximum pressure should be adopted, or the combination of 1/pi and correction factor should be used. Third, the (normalized) pseudo-pressure method is the preferred method, and the pressure method should not be used in the case of low pressure ( © 2025 Natural Gas Industry Journal Agency. All rights reserved.

关键词： Gas industry

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