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Strike–Slip Fault Reactivation Triggered by Hydraulic-Natural Fracture Propagation during Fracturing Stimulations near Clark Lake, Alberta 阿尔伯塔省克拉克湖附近压裂刺激过程中水力-自然断裂传播引发的走向-滑动断层再活化
IF 5.3 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-09-19 DOI: 10.1021/acs.energyfuels.4c02894
Gang Hui, Shengnan Chen, Fei Gu
The fluid diffusion pathways through intricate hydraulic–natural fracture networks may lead to fault reactivations. However, the underlying mechanisms are still not well understood. In this article, we present case studies to investigate the strike–slip fault reactivation triggered by hydraulic–natural fracture propagation during fracturing stimulations. The unconventional fracture model (UFM) is built to simulate the real-time propagation of hydraulic fractures and the interaction between hydraulic and natural fractures. The Mohr–Columb failure criteria are employed to determine the fault reactivation under the UFM during or after fracturing stimulations. The following are found: (1) The results of triaxial stress experiments of 27 core samples for the key well determine the static Poisson’s ratio and Young’s modulus of 0.258 and 48.7 GPa, respectively. (2) The average strike azimuths of associated natural fractures are NE 55° and SW 260°. The fault is recognized with the strike azimuth of NW 15° and fault length of 1510 m. (3) The unconventional fracture model takes into account hydraulic fracture initiation, hydraulic–natural fracture interactions, and stress shadow effects. (4) The occurrence of M3.9 was due to fluid injection during the eight stage completions of H4. The actual increase in pore pressure and Coulomb failure stress reached 3.21 and 1.93 MPa, exceeding the threshold value of Fault 1 and triggering the M3.9-induced earthquake. The insights on triggering mechanisms will guide seismicity-free fracturing stimulations in future shale development.
流体在错综复杂的水力-天然断裂网络中的扩散途径可能会导致断层重新活化。然而,人们对其深层机理仍不甚了解。本文通过案例研究,探讨了压裂激励过程中水力-天然压裂传播引发的走向-滑动断层再活化。我们建立了非常规压裂模型(UFM)来模拟水力压裂的实时传播以及水力压裂与天然裂缝之间的相互作用。采用莫尔-科伦姆(Mohr-Columb)失效标准来确定压裂激励期间或之后 UFM 下的断层再活化情况。结果如下:(1)对关键井的 27 个岩心样本进行的三轴应力实验结果确定静态泊松比和杨氏模量分别为 0.258 和 48.7 GPa。(2) 相关天然裂缝的平均走向方位角分别为东北 55°和西南 260°。(3) 非常规断裂模型考虑了水力致裂、水力-天然断裂相互作用以及应力阴影效应。(4) M3.9 的出现是由于在 H4 的八级完井过程中注入了液体。实际增加的孔隙压力和库仑破坏应力分别达到 3.21 和 1.93 兆帕,超过了断层 1 的临界值,引发了 M3.9 诱发地震。对触发机制的认识将指导未来页岩开发中的无震压裂激励。
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引用次数: 0
Genesis of Heavy Oils and Hydrocarbon Accumulation Process in Chepaizi Uplift (NW Junggar Basin) 车排子隆起带(准噶尔盆地西北部)的重油成因和油气聚集过程
IF 5.2 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-09-19 DOI: 10.1021/acs.energyfuels.4c0362910.1021/acs.energyfuels.4c03629
Xiangchun Chang, Tianjiao Liu, Bingbing Shi*, Youde Xu and Zhiping Zeng, 

This study investigates the distribution and genesis of heavy oil in the Chepaizi Uplift by analyzing various aspects, including physical properties (density, viscosity, wax content, sulfur content, water content, and total acid number), molecular and bulk characteristics, hydrogeochemical data of formation water (total dissolved solids, pH values, and hydrochemical types), geothermal data, and microthermometry of fluid inclusions. The research identifies biodegradation as the dominant factor increasing oil viscosity with oxidation exacerbating this process. Conversely, water washing and diffusion have minimal impact on the oil viscosity increase, and the formation of heavy oil from low maturity source rocks is unlikely. Regional variations in viscosity increase factors are observed, with Eastern Chepaizi showing higher biodegradation due to lower mineralization, poor formation water types, and favorable temperatures and pH conditions compared to Western Chepaizi and the Hongche Fault Belt. Fluid inclusion microthermometry and biomarker characteristics indicated that the lower strata (C-J) of the Eastern Chepaizi experienced two hydrocarbon charging stages, corresponding to an early stage of heavy oil and a later stage of light oil charging, whereas Western Chepaizi had a single stage. The western region of Western Chepaizi and the central region of the Hongche Fault Belt are prime targets for light oil exploration. The hinge line of Chepaizi Uplift requires certain thermal recovery methods for extraction due to the high density and viscosity of crude oil. These zones reflect the varying degrees of secondary alteration processes that have affected crude oil in the study area. These findings hold significant guidance for future exploration and deployment of heavy oil resources in this region and serve as a reference for studying the genesis of heavy oil in other complex geological settings.

这项研究通过分析各个方面,包括物理性质(密度、粘度、含蜡量、硫含量、含水量和总酸数)、分子和块状特征、地层水的水文地质化学数据(溶解固体总量、pH 值和水化学类型)、地热数据和流体包裹体的微热测量等,对车排子隆起带重油的分布和成因进行了调查。研究发现,生物降解是增加石油粘度的主要因素,而氧化则加剧了这一过程。相反,水的冲刷和扩散对石油粘度增加的影响很小,低成熟度源岩不可能形成重油。与车排子西部和红河断裂带相比,车排子东部由于矿化度较低、地层水类型较差以及有利的温度和 pH 值条件,生物降解程度较高。流体包裹体微测温和生物标志物特征表明,东车排子下部地层(C-J)经历了两个碳氢化合物充注阶段,相当于早期的重油充注阶段和后期的轻油充注阶段,而西车排子则只有一个阶段。西车排子西部地区和红旗断裂带中部地区是轻油勘探的主要目标。车排子隆起带铰线由于原油密度大、粘度高,需要采用一定的热采方法进行开采。这些区域反映了影响研究区域原油的不同程度的二次蚀变过程。这些发现对该地区未来重油资源的勘探和部署具有重要指导意义,并可作为研究其他复杂地质环境中重油成因的参考。
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引用次数: 0
Mini-Review on the Preparation of Iron Phosphate for Batteries 制备电池用磷酸铁微型综述
IF 5.3 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-09-19 DOI: 10.1021/acs.energyfuels.4c02533
Yuxuan Song, Zhongtian Fu
Lithium iron phosphate (LiFePO4, LFP) batteries have recently gained significant traction in the industry because of several benefits, including affordable pricing, strong cycling performance, and consistent safety performance. In the preparation of lithium iron phosphate by carbothermic reduction, iron phosphate (FePO4, FP) as one of the raw materials is closely related to the electrochemical performance of lithium iron phosphate, and its particle agglomeration, morphology, crystallinity, and other characteristics will affect lithium iron phosphate. This review mainly discusses the structure and preparation method of iron phosphate, one of the raw materials of lithium iron phosphate. It focuses on the preparation method of iron phosphate. Finally, a summary and future development directions for the preparation of iron phosphate are proposed.
磷酸铁锂(LiFePO4,LFP)电池具有价格低廉、循环性能强、安全性能稳定等优点,近来在业界受到广泛关注。在利用碳热还原法制备磷酸铁锂的过程中,磷酸铁(FePO4,FP)作为原材料之一与磷酸铁锂的电化学性能密切相关,其颗粒团聚、形态、结晶度等特性都会影响磷酸铁锂的电化学性能。本综述主要讨论磷酸铁锂原料之一磷酸铁的结构和制备方法。重点介绍了磷酸铁的制备方法。最后,对磷酸铁的制备方法进行了总结并提出了未来的发展方向。
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引用次数: 0
Multi-Objective Optimization of CO2 Injection Process into Oil Reservoirs Using Machine Learning Algorithms: Incorporating Carbon Sequestration Mechanisms 利用机器学习算法对油藏二氧化碳注入过程进行多目标优化:纳入碳封存机制
IF 5.2 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-09-19 DOI: 10.1021/acs.energyfuels.4c0285910.1021/acs.energyfuels.4c02859
Mehrab Azizi, Seyed Mehdi Hasheminezhad, Sayeh Moeinpour, Mahdi Kanaani and Behnam Sedaee*, 

Capture and storage of CO2 in underground geological formations has been identified as a sustainable solution for mitigating the effects of greenhouse gases. Combining this CO2 sequestration with enhanced oil recovery (EOR) processes can reduce the economic risk of carbon capture and storage (CCS). Injecting CO2 alternately with water (water alternating gas or WAG) is recognized as one of the most effective methods for increasing oil production and enhancing CO2 sequestration. This study aims to optimize the CO2 injection process into oil reservoirs using the WAG method, explicitly focusing on incorporating various carbon sequestration mechanisms. Due to the inherent complexities of the WAG injection process and the conflicts of interest between specific CO2 sequestration mechanisms and cumulative oil production (COP), there is a need for a practical multiobjective optimization approach. In this study, based on the mechanisms of CO2 trapping in the oil reservoir, three different objective functions representing the moles of CO2 trapped in different phases within the reservoir, along with the COP objective function, were considered. Using reservoir simulation, 366 realizations were designed based on seven decision variables, and the four mentioned objective functions were calculated. Initial correlation analysis among the objective functions confirmed a conflict of interest between the COP objective function, the CO2 trapped in oil (CTO) and water (CTW) phases, and conflicts between the trapping mechanisms. Multiple proxy models were trained using the created data set and two machine learning methods, XGBOOST, and neural networks. Ultimately, a neural network with an R2 of 0.9886 for the training phase and 0.9562 for the test phase was selected as the validated proxy model. Optimizing solutions were evaluated by integrating the proxy model with three multiobjective optimization algorithms (NSGA-II, PESA-II, and MOPSO). Due to the conflict of interest among the objective functions, optimization was conducted using two different cost function settings, ensuring that all potential optimal solutions were identified. The results demonstrated that the shape of the Pareto front and the arrangement of the optimal solutions change when CO2 trapping mechanisms are applied, compared to previous optimization approaches. The CO2 sequestration objective function is significantly better optimized when these trapping mechanisms are included in the optimization process. Therefore, incorporating various CO2 trapping mechanisms into the CO2–WAG process optimization framework is essential to avoid overlooking potential solutions.

在地下地质构造中捕获和封存二氧化碳被认为是减轻温室气体影响的可持续解决方案。将二氧化碳封存与提高石油采收率(EOR)工艺相结合,可以降低碳捕集与封存(CCS)的经济风险。二氧化碳与水交替注入(水气交替或 WAG)被认为是提高石油产量和加强二氧化碳封存的最有效方法之一。本研究旨在优化使用 WAG 方法向油藏注入二氧化碳的过程,明确侧重于纳入各种固碳机制。由于 WAG 注入过程本身的复杂性以及特定二氧化碳封存机制与累积石油产量(COP)之间的利益冲突,需要一种实用的多目标优化方法。在本研究中,根据油藏中的二氧化碳捕集机制,考虑了三种不同的目标函数,分别代表油藏中不同相位的二氧化碳捕集摩尔数,以及 COP 目标函数。通过油藏模拟,根据七个决策变量设计了 366 个实现方案,并计算了上述四个目标函数。目标函数之间的初步相关性分析证实了 COP 目标函数、油相(CTO)和水相(CTW)中的二氧化碳捕获量之间的利益冲突,以及捕获机制之间的冲突。利用创建的数据集和两种机器学习方法(XGBOOST 和神经网络)训练了多个代理模型。最终,一个在训练阶段 R2 为 0.9886,在测试阶段 R2 为 0.9562 的神经网络被选为经过验证的代理模型。通过将代理模型与三种多目标优化算法(NSGA-II、PESA-II 和 MOPSO)相结合,对优化方案进行了评估。由于目标函数之间存在利益冲突,因此采用了两种不同的成本函数设置进行优化,以确保找出所有潜在的最优解。结果表明,与之前的优化方法相比,当采用二氧化碳捕集机制时,帕累托前沿的形状和最优解的排列都会发生变化。将这些捕集机制纳入优化过程后,二氧化碳封存目标函数的优化效果明显更好。因此,将各种二氧化碳捕集机制纳入 CO2-WAG 流程优化框架对于避免忽略潜在解决方案至关重要。
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引用次数: 0
Multi-Objective Optimization of CO2 Injection Process into Oil Reservoirs Using Machine Learning Algorithms: Incorporating Carbon Sequestration Mechanisms 利用机器学习算法对油藏二氧化碳注入过程进行多目标优化:纳入碳封存机制
IF 5.3 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-09-19 DOI: 10.1021/acs.energyfuels.4c02859
Mehrab Azizi, Seyed Mehdi Hasheminezhad, Sayeh Moeinpour, Mahdi Kanaani, Behnam Sedaee
Capture and storage of CO2 in underground geological formations has been identified as a sustainable solution for mitigating the effects of greenhouse gases. Combining this CO2 sequestration with enhanced oil recovery (EOR) processes can reduce the economic risk of carbon capture and storage (CCS). Injecting CO2 alternately with water (water alternating gas or WAG) is recognized as one of the most effective methods for increasing oil production and enhancing CO2 sequestration. This study aims to optimize the CO2 injection process into oil reservoirs using the WAG method, explicitly focusing on incorporating various carbon sequestration mechanisms. Due to the inherent complexities of the WAG injection process and the conflicts of interest between specific CO2 sequestration mechanisms and cumulative oil production (COP), there is a need for a practical multiobjective optimization approach. In this study, based on the mechanisms of CO2 trapping in the oil reservoir, three different objective functions representing the moles of CO2 trapped in different phases within the reservoir, along with the COP objective function, were considered. Using reservoir simulation, 366 realizations were designed based on seven decision variables, and the four mentioned objective functions were calculated. Initial correlation analysis among the objective functions confirmed a conflict of interest between the COP objective function, the CO2 trapped in oil (CTO) and water (CTW) phases, and conflicts between the trapping mechanisms. Multiple proxy models were trained using the created data set and two machine learning methods, XGBOOST, and neural networks. Ultimately, a neural network with an R2 of 0.9886 for the training phase and 0.9562 for the test phase was selected as the validated proxy model. Optimizing solutions were evaluated by integrating the proxy model with three multiobjective optimization algorithms (NSGA-II, PESA-II, and MOPSO). Due to the conflict of interest among the objective functions, optimization was conducted using two different cost function settings, ensuring that all potential optimal solutions were identified. The results demonstrated that the shape of the Pareto front and the arrangement of the optimal solutions change when CO2 trapping mechanisms are applied, compared to previous optimization approaches. The CO2 sequestration objective function is significantly better optimized when these trapping mechanisms are included in the optimization process. Therefore, incorporating various CO2 trapping mechanisms into the CO2–WAG process optimization framework is essential to avoid overlooking potential solutions.
在地下地质构造中捕获和封存二氧化碳被认为是减轻温室气体影响的可持续解决方案。将二氧化碳封存与提高石油采收率(EOR)工艺相结合,可以降低碳捕集与封存(CCS)的经济风险。二氧化碳与水交替注入(水气交替或 WAG)被认为是提高石油产量和加强二氧化碳封存的最有效方法之一。本研究旨在优化使用 WAG 方法向油藏注入二氧化碳的过程,明确侧重于纳入各种固碳机制。由于 WAG 注入过程本身的复杂性以及特定二氧化碳封存机制与累积石油产量(COP)之间的利益冲突,需要一种实用的多目标优化方法。在本研究中,根据油藏中的二氧化碳捕集机制,考虑了三种不同的目标函数,分别代表油藏中不同相位的二氧化碳捕集摩尔数,以及 COP 目标函数。通过油藏模拟,根据七个决策变量设计了 366 个实现方案,并计算了上述四个目标函数。目标函数之间的初步相关性分析证实了 COP 目标函数、油相(CTO)和水相(CTW)中的二氧化碳捕获量之间的利益冲突,以及捕获机制之间的冲突。利用创建的数据集和两种机器学习方法(XGBOOST 和神经网络)训练了多个代理模型。最终,一个在训练阶段 R2 为 0.9886,在测试阶段 R2 为 0.9562 的神经网络被选为经过验证的代理模型。通过将代理模型与三种多目标优化算法(NSGA-II、PESA-II 和 MOPSO)相结合,对优化方案进行了评估。由于目标函数之间存在利益冲突,因此采用了两种不同的成本函数设置进行优化,以确保找出所有潜在的最优解。结果表明,与之前的优化方法相比,当采用二氧化碳捕集机制时,帕累托前沿的形状和最优解的排列都会发生变化。将这些捕集机制纳入优化过程后,二氧化碳封存目标函数的优化效果明显更好。因此,将各种二氧化碳捕集机制纳入 CO2-WAG 流程优化框架对于避免忽略潜在解决方案至关重要。
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引用次数: 0
Genesis of Heavy Oils and Hydrocarbon Accumulation Process in Chepaizi Uplift (NW Junggar Basin) 车排子隆起带(准噶尔盆地西北部)的重油成因和油气聚集过程
IF 5.3 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-09-19 DOI: 10.1021/acs.energyfuels.4c03629
Xiangchun Chang, Tianjiao Liu, Bingbing Shi, Youde Xu, Zhiping Zeng
This study investigates the distribution and genesis of heavy oil in the Chepaizi Uplift by analyzing various aspects, including physical properties (density, viscosity, wax content, sulfur content, water content, and total acid number), molecular and bulk characteristics, hydrogeochemical data of formation water (total dissolved solids, pH values, and hydrochemical types), geothermal data, and microthermometry of fluid inclusions. The research identifies biodegradation as the dominant factor increasing oil viscosity with oxidation exacerbating this process. Conversely, water washing and diffusion have minimal impact on the oil viscosity increase, and the formation of heavy oil from low maturity source rocks is unlikely. Regional variations in viscosity increase factors are observed, with Eastern Chepaizi showing higher biodegradation due to lower mineralization, poor formation water types, and favorable temperatures and pH conditions compared to Western Chepaizi and the Hongche Fault Belt. Fluid inclusion microthermometry and biomarker characteristics indicated that the lower strata (C-J) of the Eastern Chepaizi experienced two hydrocarbon charging stages, corresponding to an early stage of heavy oil and a later stage of light oil charging, whereas Western Chepaizi had a single stage. The western region of Western Chepaizi and the central region of the Hongche Fault Belt are prime targets for light oil exploration. The hinge line of Chepaizi Uplift requires certain thermal recovery methods for extraction due to the high density and viscosity of crude oil. These zones reflect the varying degrees of secondary alteration processes that have affected crude oil in the study area. These findings hold significant guidance for future exploration and deployment of heavy oil resources in this region and serve as a reference for studying the genesis of heavy oil in other complex geological settings.
这项研究通过分析各个方面,包括物理性质(密度、粘度、含蜡量、硫含量、含水量和总酸数)、分子和块状特征、地层水的水文地质化学数据(溶解固体总量、pH 值和水化学类型)、地热数据和流体包裹体的微热测量等,对车排子隆起带重油的分布和成因进行了调查。研究发现,生物降解是增加石油粘度的主要因素,而氧化则加剧了这一过程。相反,水的冲刷和扩散对石油粘度增加的影响很小,低成熟度源岩不可能形成重油。与车排子西部和红河断裂带相比,车排子东部由于矿化度较低、地层水类型较差以及有利的温度和 pH 值条件,生物降解程度较高。流体包裹体微测温和生物标志物特征表明,东车排子下部地层(C-J)经历了两个碳氢化合物充注阶段,相当于早期的重油充注阶段和后期的轻油充注阶段,而西车排子则只有一个阶段。西车排子西部地区和红旗断裂带中部地区是轻油勘探的主要目标。车排子隆起带铰线由于原油密度大、粘度高,需要采用一定的热采方法进行开采。这些区域反映了影响研究区域原油的不同程度的二次蚀变过程。这些发现对该地区未来重油资源的勘探和部署具有重要指导意义,并可作为研究其他复杂地质环境中重油成因的参考。
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引用次数: 0
Design of Hyperbranched Amine Polymer-Functionalized PolyHIPEs for Rapid CO2 Capture and Separation 设计用于快速捕获和分离二氧化碳的超支化胺聚合物官能化 PolyHIPE
IF 5.2 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-09-19 DOI: 10.1021/acs.energyfuels.4c0314710.1021/acs.energyfuels.4c03147
Haorui Liu, Xiaoqiong Wang, Shixun Chen and Shuixia Chen*, 

A novel solid amine adsorbent meso-PDVB@HBPE-x was prepared by impregnating and cross-linking the hyperbranched amine polymer (HBP-NH2) in a mesoporous polydivinylbenzene (meso-PDVB) substrate with an open-cell structure. The optimum preparation conditions were investigated in detail, and the CO2 adsorption performance of prepared adsorbents was conducted by a fixed bed dynamic adsorption system. It is suggested that beneficial from the low viscosity, the intramolecular cavity of HBP-NH2, and the open-cell structure of meso-PDVB, the best adsorbent meso-PDVB@HBPE-8, which was slightly cross-linked with ethylene glycol diglycidyl ether (EGDE), exhibited a high CO2 adsorption capacity of 5.64 mmol/g under 25 °C and wet conditions and quick adsorption kinetics (a high Qb/Qe ratio of 0.92). Compared with the low-molecular-weight amine tetraethylene pentaamine, HBP-NH2 processes a higher molecular weight and is easily modified. Through cross-linking with EGDE, the N content and CO2 adsorption capacity of meso-PDVB@HBPE-8 remained stable during 20 absorption (at 25 °C)–desorption (at 90 °C) cycles under wet conditions, showing great regeneration stability. The adsorbents showed great potential in CO2/CH4 separation, achieving a CH4 productivity of 18.86 mmol/g from a 15 mL of CO2/CH4 (20:80, v:v) mixed gas. The strategy of synergistically designing the amine and substrate porous structures demonstrates its advantage in the practical application of CO2 adsorption and separation.

通过将超支化胺聚合物(HBP-NH2)浸渍并交联在具有开孔结构的中孔聚二乙烯基苯(meso-PDVB)基材中,制备了一种新型固体胺吸附剂 meso-PDVB@HBPE-x。详细研究了最佳制备条件,并通过固定床动态吸附系统对制备的吸附剂进行了二氧化碳吸附性能测试。结果表明,得益于介质-PDVB 的低粘度、HBP-NH2 的分子内空腔和开孔结构,用乙二醇二缩水甘油醚(EGDE)轻微交联的最佳吸附剂介质-PDVB@HBPE-8 在 25 °C、潮湿条件下表现出 5.64 mmol/g 的高二氧化碳吸附容量和快速吸附动力学(Qb/Qe 比高达 0.92)。与低分子量胺四乙烯五胺相比,HBP-NH2 的分子量较高,易于改性。通过与 EGDE 的交联,meso-PDVB@HBPE-8 的 N 含量和 CO2 吸附能力在湿法条件下 20 个吸收(25 °C)-吸附(90 °C)循环中保持稳定,显示出极高的再生稳定性。这些吸附剂在 CO2/CH4 分离方面显示出巨大的潜力,从 15 mL CO2/CH4 (20:80,v:v)混合气体中分离出的 CH4 产率达到 18.86 mmol/g。胺和基质多孔结构的协同设计策略证明了其在二氧化碳吸附和分离的实际应用中的优势。
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引用次数: 0
Applicability and Limitation of Aromatic Maturity Parameters in High-Maturity Oil from Ultradeep Reservoirs 超深层油藏高纯度石油中芳烃成熟度参数的适用性和局限性
IF 5.3 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-09-18 DOI: 10.1021/acs.energyfuels.4c02159
Donglin Zhang, Meijun Li, Rongzhen Qiao, Hong Xiao
A substantial reserve of highly mature light oil has been discovered in the Ordovician reservoir of the Shunbei oilfield, Tarim Basin, Northwest China. This study aims to provide an objective assessment of oil maturity in the Shunbei oilfield and establish a reliable maturity evaluation index for oil in the high thermal evolution stage. Eighteen crude oil samples from the no. 4 fault zone (F4) of the Shunbei oilfield were systematically analyzed. Aromatic hydrocarbon, light hydrocarbon components, and diamondoid compositions were analyzed by gas chromatography–mass spectrometry. The depositional environment and the organic matter input of their related source rocks were determined by the corresponding geochemical indicators. The results indicate that the F4 oils have been derived from the same source kitchen and belong to the same oil population. The oil maturity in the study area was evaluated by the maturity parameters relative to aromatics, light hydrocarbons, and diamondoids. The analysis indicates that the results of aromatic parameters for identifying oil maturity contradict those of light hydrocarbon and diamondoid parameters. The equivalent vitrinite reflectance of the oil samples ranges from 1.43% to 1.54%. It is concluded that light hydrocarbon and diamondoid parameters can reliably be used to evaluate the maturity of oil in the high thermal evolution stage. However, most of the aromatic maturity parameters exhibit significant limitations during the high-temperature evolution stage. The maturity parameters of phenanthrene and dibenzothiophene were “reversed” in the high thermal evolution stage due to demethylation and thermal alteration, respectively. Additionally, most naphthalene maturity parameters are affected by thermally induced condensation, rendering them unsuitable for maturity evaluation of the high-temperature evolution stage. Notably, pentamethylnaphthalene ratio [PMNr, PMNr = 1, 2, 4, 6, 7-/(1, 2, 4, 6, 7 + 1, 2, 3, 5, 6)-pentamethylnaphthalene] exhibits a strong positive correlation with gas–oil ratio, n-heptane/methylcyclohexane (nC7/MCH) ratio, and (3 + 4)-methyldiamantane concentrations, indicating their reliability as maturity indicators for highly to overmature oils and source rocks.
在中国西北塔里木盆地顺北油田奥陶系储层中发现了储量可观的高度成熟轻质油。本研究旨在对顺北油田的石油成熟度进行客观评估,并为处于高热演化阶段的石油建立可靠的成熟度评价指标。18 个原油样本来自顺北油田 4 号断裂带(F4)。系统分析了顺北油田 4 号断裂带(F4)的 18 个原油样本。采用气相色谱-质谱法分析了芳香烃、轻烃组分和类金刚石成分。通过相应的地球化学指标确定了相关源岩的沉积环境和有机质输入情况。结果表明,F4 油源自同一源厨,属于同一油群。研究区的石油成熟度是通过芳烃、轻烃和菱形烃的成熟度参数来评价的。分析表明,芳烃参数在鉴定油类成熟度方面的结果与轻烃和类钻参数的结果相矛盾。油样的等效玻璃光泽反射率在 1.43% 至 1.54% 之间。由此得出结论,轻烃和类钻参数可以可靠地用于评估高热演化阶段的石油成熟度。然而,大多数芳烃成熟度参数在高温演化阶段表现出明显的局限性。在高温演化阶段,菲和二苯并噻吩的成熟度参数分别因脱甲基和热改变而发生 "逆转"。此外,大多数萘的成熟度参数都受到热诱导缩合的影响,因此不适合用于高温演化阶段的成熟度评估。值得注意的是,五甲基萘比率[PMNr,PMNr = 1, 2, 4, 6, 7-/(1, 2, 4, 6, 7 + 1, 2, 3, 5, 6)-五甲基萘]与气油比、正庚烷/甲基环己烷(nC7/MCH)比率和(3 + 4)-甲基二烷烃浓度呈现出强烈的正相关性,这表明它们是高度成熟至过度成熟油类和源岩的成熟度指标。
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引用次数: 0
Biomass Torrefaction for Renewable Energy: From Physicochemical, Bulk Properties, and Flowability to Future Perspectives and Applications 用于可再生能源的生物质热解:从物理化学、体积特性和流动性到未来展望与应用
IF 5.2 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-09-18 DOI: 10.1021/acs.energyfuels.4c0340710.1021/acs.energyfuels.4c03407
Lucas Massaro Sousa*, Allan Pretti Ogura, Chayene Gonçalves Anchieta, Mathieu Morin and Nicholas Islongo Canabarro, 

Biomass and biomass wastes can be a source of renewable energy and fuels through valorization in thermochemical processes. Torrefaction is a thermal pretreatment often employed for upgrading raw biomass. In addition to providing the status of current techniques used to characterize raw and torrefied biomasses (in terms of their flowability and physicochemical, thermal, and bulk properties), we discuss current applications with these bulk solids. The limitations of current characterization methods are also discussed with a view to future scopes with advanced techniques, particularly related to physicochemical properties. This Review underscores a lack of systematic studies focused on the importance of comprehensive knowledge of raw and torrefied biomass properties to achieve better flowability, thereby contributing to more efficient and cost-effective industrial processes. Indeed, among the 1320 literature papers evaluated in this review, 647 characterized the chemical/thermal properties of raw and torrefied biomasses, while 254 considered physical/bulk properties, and only 11 assessed bulk solids’ flowability. The scarcity of studies on flowability suggests that this parameter has not been considered important by most researchers for the demonstration of process feasibility. However, characterizing bulk solids flow behavior is critical for the proper design of handling equipment and ensuring smooth plant operation, thus minimizing risks associated with unforeseen expenses and prolonged time for process troubleshooting and equipment retrofit. Moreover, even when the flowability was measured in the 11 papers, it was difficult to compare results between studies as measurement techniques were not the same, nor were the biomass type or torrefaction conditions. This highlights the need for future research on the flowability of raw and torrefied biomass, intending to obtain more sound and broad conclusions for the flow behavior of such heterogeneous materials, culminating in the development of standardized protocols to improve biomass handling and processing at an industrial scale. Besides, most of the studies available in the literature were based on small-bench torrefaction units, producing only a few grams of torrefied biomass. This is generally a limiting amount of material for complete assessment of flowability at different bulk conditions as well as to evaluate other important handling aspects at industrial scale, such as bulk solid segregation, quality of fluidization, and so on. In future works, we also suggest evaluating other heterogeneous feedstocks, such as municipal wastes or refuse-derived fuels, and performing a complete characterization for the bulk solids to facilitate technical decision-making in bioenergy and biofuels processes.

生物质和生物质废料可通过热化学工艺的增值成为可再生能源和燃料的来源。焦化是一种热预处理方法,通常用于提升未加工生物质的品质。除了介绍当前用于表征原料生物质和热解生物质的技术现状(流动性、物理化学、热学和体积特性)外,我们还讨论了这些散装固体的当前应用。我们还讨论了当前表征方法的局限性,并展望了未来先进技术的应用范围,尤其是与物理化学特性相关的技术。本综述强调了缺乏系统性研究的问题,而系统性研究的重点是全面了解生料和焙烧生物质特性的重要性,以获得更好的流动性,从而促进更高效、更具成本效益的工业流程。事实上,在本综述评估的 1320 篇文献中,有 647 篇描述了生质和热干馏生物质的化学/热特性,254 篇考虑了物理/散装特性,只有 11 篇评估了散装固体的流动性。关于流动性的研究很少,这表明大多数研究人员认为这一参数对于证明工艺的可行性并不重要。然而,确定散装固体流动特性对于正确设计处理设备和确保工厂平稳运行至关重要,从而最大限度地降低与意外支出相关的风险,并延长工艺故障排除和设备改造的时间。此外,即使在 11 篇论文中对流动性进行了测量,也很难对不同研究的结果进行比较,因为测量技术、生物质类型或热解条件都不尽相同。这突出表明,今后有必要对未加工生物质和高温分解生物质的流动性进行研究,以便对这类异质材料的流动行为得出更合理、更广泛的结论,最终制定出标准化的规程,改进工业规模的生物质处理和加工。此外,现有文献中的大多数研究都是基于小型台式热解装置,只能生产几克热解生物质。对于全面评估不同体积条件下的流动性,以及评估工业规模下的其他重要处理方面(如体积固体偏析、流化质量等)来说,这通常是一个有限的材料量。在未来的工作中,我们还建议评估其他异质原料,如城市垃圾或垃圾衍生燃料,并对块状固体进行完整的表征,以促进生物能源和生物燃料工艺的技术决策。
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引用次数: 0
Diels–Alder Cycloaddition of Cyclopentadiene with α-Olefins for the Synthesis of High-Performance Sustainable Aviation Fuels 环戊二烯与 α-烯烃的 Diels-Alder 环加成法用于合成高性能可持续航空燃料
IF 5.3 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-09-18 DOI: 10.1021/acs.energyfuels.4c03203
Josanne-Dee Woodroffe, Derek D. Zhang, Benjamin G. Harvey
A series of alkyl-substituted bicycloheptanes were synthesized by Diels–Alder cycloaddition of cyclopentadiene and C5–C8 α-olefins. The reactions were conducted with three equivalents of the α-olefin to ensure a high conversion to the cross-coupled product and did not require the use of a solvent or catalyst. The resulting products were then hydrogenated over 10% Pd/C and distilled to yield jet fuel blendstocks. The saturated hydrocarbons exhibited densities ranging from 0.861 to 0.872 g mL–1 (11.1–12.5% higher than the lower limit for Jet-A), gravimetric net heats of combustion ranging from 42.8 to 43.3 MJ kg–1 (comparable to Jet-A), and −20 °C kinematic viscosities ranging from 5.49 to 18.00 mm2 s–1. Cyclopentadiene can be readily derived from crude biomass sources including hemicellulose, while C5–C8 olefins can be produced from biomass through Fischer–Tropsch catalysis or oligomerization of bio-based ethylene. Thus, this work provides a route to generate molecularly designed biosynthetic fuels with potential applications as blending agents to increase the performance of sustainable aviation fuels.
通过环戊二烯和 C5-C8 α-烯烃的 Diels-Alder 环加成反应,合成了一系列烷基取代的双环庚烷。为确保交叉耦合产物的高转化率,反应使用了三当量的 α-烯烃,且无需使用溶剂或催化剂。然后,将得到的产品在 10% Pd/C 上进行氢化,并蒸馏出喷气燃料混合料。饱和碳氢化合物的密度范围为 0.861 至 0.872 g mL-1(比 Jet-A 的下限高 11.1%至 12.5%),重量净燃烧热范围为 42.8 至 43.3 MJ kg-1(与 Jet-A 相当),-20 °C 运动粘度范围为 5.49 至 18.00 mm2 s-1。环戊二烯可以很容易地从包括半纤维素在内的粗生物质来源中提取,而 C5-C8 烯烃则可以通过费托催化或生物基乙烯的低聚作用从生物质中生产。因此,这项工作提供了一条生成分子设计生物合成燃料的途径,具有作为混合剂的潜在应用价值,可提高可持续航空燃料的性能。
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