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Characteristics, main controlling factors and densification mechanisms of unconventional tight reservoirs in Triassic Yanchang Formation in southern Ordos Basin, China
IF 6 1区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-12-01 DOI: 10.1016/j.petsci.2024.09.020
Yi-Quan Ma , Chen Zhang , Yong-Chao Lu , Xiang-Ye Kong , Ying Guo , Yi-Xin Dong , Lin Chen , Rong Qi , Feng-Cun Xing
The key factors controlling the densification of unconventional reservoirs (e.g., tight oil and gas reservoirs) remain poorly understood and directly affect the distribution of exploitable resources. Here, systematically explored reservoir characteristics, depositional microfacies, and the main factors controlling densification of the tight oil reservoir in the Chang 8 Member (Yanchang Formation, Middle Triassic) in the southern Ordos Basin by thin section analysis, scanning electron microscopy, physical property measurement, X-ray diffraction, and mercury injection. Our results confirm the Chang 8 reservoir as an extremely low permeability tight sandstone reservoir mainly comprising lithic feldspathic sandstone with various primary and secondary pores and fine pore channels. The highest quality reservoir is mainly restricted to the middle and lower parts of subaqueous distributary channel microfacies. Dissolution partly contributed to reservoir formation, but the persistence of early, non-compressed storage space was more important. The compression of plastic rock debris removed a significant amount of porosity, and calcite, kaolinite, and siliceous minerals both fill pores, whereas chlorite cladding of particles protects the pore space. We identified three densification mechanisms: the persistent densification of highly plastic rock debris during burial, calcite cementation and pore filling, and feldspar dissolution and subsequent kaolinite precipitation and siliceous cementation. After their compaction, the Chang 8 Member reservoirs were charged with hydrocarbons. We applied clustering analysis to eight reservoir characteristics (porosity, permeability, median pore-throat radius, maximum pore-throat radius, median capillary pressure, pore discharge pressure, chlorite content, kaolinite content) to quantitatively classify the Chang 8 reservoir into three categories. Type-I reservoirs have the best conditions for hosting tight oil reservoirs, with ∼12% porosity, permeabilities of ∼0.2 × 10−3 μm2, trial oil production rates of >5 m3/d, and, indeed, occur in subaqueous distributary channel microfacies. Type-II reservoirs ∼10% porosity, permeabilities of ∼0.1 × 10−3 μm2, and trial oil production rates of 1–5 m3/d. Type-III reservoirs have ∼5% porosity, permeabilities of ∼0.05 × 10−3 μm2, and trial oil production rates <1 m3/d. These results provide an important basis for predicting the distribution of exploitable zones in the Chang 8 Member and other adjacent tight reservoirs.
{"title":"Characteristics, main controlling factors and densification mechanisms of unconventional tight reservoirs in Triassic Yanchang Formation in southern Ordos Basin, China","authors":"Yi-Quan Ma ,&nbsp;Chen Zhang ,&nbsp;Yong-Chao Lu ,&nbsp;Xiang-Ye Kong ,&nbsp;Ying Guo ,&nbsp;Yi-Xin Dong ,&nbsp;Lin Chen ,&nbsp;Rong Qi ,&nbsp;Feng-Cun Xing","doi":"10.1016/j.petsci.2024.09.020","DOIUrl":"10.1016/j.petsci.2024.09.020","url":null,"abstract":"<div><div>The key factors controlling the densification of unconventional reservoirs (e.g., tight oil and gas reservoirs) remain poorly understood and directly affect the distribution of exploitable resources. Here, systematically explored reservoir characteristics, depositional microfacies, and the main factors controlling densification of the tight oil reservoir in the Chang 8 Member (Yanchang Formation, Middle Triassic) in the southern Ordos Basin by thin section analysis, scanning electron microscopy, physical property measurement, X-ray diffraction, and mercury injection. Our results confirm the Chang 8 reservoir as an extremely low permeability tight sandstone reservoir mainly comprising lithic feldspathic sandstone with various primary and secondary pores and fine pore channels. The highest quality reservoir is mainly restricted to the middle and lower parts of subaqueous distributary channel microfacies. Dissolution partly contributed to reservoir formation, but the persistence of early, non-compressed storage space was more important. The compression of plastic rock debris removed a significant amount of porosity, and calcite, kaolinite, and siliceous minerals both fill pores, whereas chlorite cladding of particles protects the pore space. We identified three densification mechanisms: the persistent densification of highly plastic rock debris during burial, calcite cementation and pore filling, and feldspar dissolution and subsequent kaolinite precipitation and siliceous cementation. After their compaction, the Chang 8 Member reservoirs were charged with hydrocarbons. We applied clustering analysis to eight reservoir characteristics (porosity, permeability, median pore-throat radius, maximum pore-throat radius, median capillary pressure, pore discharge pressure, chlorite content, kaolinite content) to quantitatively classify the Chang 8 reservoir into three categories. Type-I reservoirs have the best conditions for hosting tight oil reservoirs, with ∼12% porosity, permeabilities of ∼0.2 × 10<sup>−3</sup> μm<sup>2</sup>, trial oil production rates of &gt;5 m<sup>3</sup>/d, and, indeed, occur in subaqueous distributary channel microfacies. Type-II reservoirs ∼10% porosity, permeabilities of ∼0.1 × 10<sup>−3</sup> μm<sup>2</sup>, and trial oil production rates of 1–5 m<sup>3</sup>/d. Type-III reservoirs have ∼5% porosity, permeabilities of ∼0.05 × 10<sup>−3</sup> μm<sup>2</sup>, and trial oil production rates &lt;1 m<sup>3</sup>/d. These results provide an important basis for predicting the distribution of exploitable zones in the Chang 8 Member and other adjacent tight reservoirs.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"21 6","pages":"Pages 3884-3898"},"PeriodicalIF":6.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143313474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mechanisms for clay-polymer interactions in the treatment of mature fine tailings: A review
IF 6 1区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-12-01 DOI: 10.1016/j.petsci.2024.10.002
Wen-Yuan Sun , Hongbo Zeng , Tian Tang
Chemical flocculants are widely used in treating mature fine tailings (MFT) produced during bitumen extraction processes, among which polymers with high molecular weight (HMW) have demonstrated efficacy in dewatering and clay flocculation. The long polymer chains carry sufficient functional groups to simultaneously interact with multiple clay surfaces, thereby modulating clay surface properties and facilitating the aggregation of clay particles. Significant efforts have been devoted to enhancing the flocculation and dewatering performance of polymer reagents. Despite some successes, the design of new and effective polymer flocculants with desired performance is hindered by the limited fundamental understanding of clay-polymer interaction mechanisms. In this work, interaction mechanisms between polymer flocculants and clay particles are reviewed. Solid flocculation by polymers can be driven by multiple mechanisms, either independently or in combination, due to the diverse properties and solution chemistry involved. Factors that affect the interactions are analyzed, with a particular focus on the effects of clay surface features, pH, ions, and asphaltene. Addressing ongoing debates regarding the synergy of multiple types of polymer segments, the influence of multi-valent ions, and the effects of amphiphilic asphaltene can significantly expedite the design of more effective flocculants and flocculation processes.
{"title":"Mechanisms for clay-polymer interactions in the treatment of mature fine tailings: A review","authors":"Wen-Yuan Sun ,&nbsp;Hongbo Zeng ,&nbsp;Tian Tang","doi":"10.1016/j.petsci.2024.10.002","DOIUrl":"10.1016/j.petsci.2024.10.002","url":null,"abstract":"<div><div>Chemical flocculants are widely used in treating mature fine tailings (MFT) produced during bitumen extraction processes, among which polymers with high molecular weight (HMW) have demonstrated efficacy in dewatering and clay flocculation. The long polymer chains carry sufficient functional groups to simultaneously interact with multiple clay surfaces, thereby modulating clay surface properties and facilitating the aggregation of clay particles. Significant efforts have been devoted to enhancing the flocculation and dewatering performance of polymer reagents. Despite some successes, the design of new and effective polymer flocculants with desired performance is hindered by the limited fundamental understanding of clay-polymer interaction mechanisms. In this work, interaction mechanisms between polymer flocculants and clay particles are reviewed. Solid flocculation by polymers can be driven by multiple mechanisms, either independently or in combination, due to the diverse properties and solution chemistry involved. Factors that affect the interactions are analyzed, with a particular focus on the effects of clay surface features, pH, ions, and asphaltene. Addressing ongoing debates regarding the synergy of multiple types of polymer segments, the influence of multi-valent ions, and the effects of amphiphilic asphaltene can significantly expedite the design of more effective flocculants and flocculation processes.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"21 6","pages":"Pages 4427-4445"},"PeriodicalIF":6.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143313732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Impacts of microbial interactions on underground hydrogen storage in porous media: A comprehensive review of experimental, numerical, and field studies
IF 6 1区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-12-01 DOI: 10.1016/j.petsci.2024.08.015
Lin Wu , Zheng-Meng Hou , Zhi-Feng Luo , Yan-Li Fang , Liang-Chao Huang , Xu-Ning Wu , Qian-Jun Chen , Qi-Chen Wang
Amidst the rapid development of renewable energy, the intermittency and instability of energy supply pose severe challenges and impose higher requirements on energy storage systems. Among the various energy storage technologies, the coupled approach of power-to-hydrogen (H2) and underground H2 storage (UHS) offers advantages such as extended storage duration and large-scale capacity, making it highly promising for future development. However, during UHS, particularly in porous media, microbial metabolic processes such as methanogenesis, acetogenesis, and sulfate reduction may lead to H2 consumption and the production of byproducts. These microbial activities can impact the efficiency and safety of UHS both positively and negatively. Therefore, this paper provides a comprehensive review of experimental, numerical, and field studies on microbial interactions in UHS within porous media, aiming to capture research progress and elucidate microbial effects. It begins by outlining the primary types of UHS and the key microbial metabolic processes involved. Subsequently, the paper introduces the experimental approaches for investigating gas–water–rock–microbe interactions and interfacial properties, the models and simulators used in numerical studies, and the procedures implemented in field trials. Furthermore, it analyzes and discusses microbial interactions and their positive and negative impacts on UHS in porous media, focusing on aspects such as H2 consumption, H2 flow, and storage safety. Based on these insights, recommendations for site selection, engineering operations, and on-site monitoring of UHS, as well as potential future research directions, are provided.
{"title":"Impacts of microbial interactions on underground hydrogen storage in porous media: A comprehensive review of experimental, numerical, and field studies","authors":"Lin Wu ,&nbsp;Zheng-Meng Hou ,&nbsp;Zhi-Feng Luo ,&nbsp;Yan-Li Fang ,&nbsp;Liang-Chao Huang ,&nbsp;Xu-Ning Wu ,&nbsp;Qian-Jun Chen ,&nbsp;Qi-Chen Wang","doi":"10.1016/j.petsci.2024.08.015","DOIUrl":"10.1016/j.petsci.2024.08.015","url":null,"abstract":"<div><div>Amidst the rapid development of renewable energy, the intermittency and instability of energy supply pose severe challenges and impose higher requirements on energy storage systems. Among the various energy storage technologies, the coupled approach of power-to-hydrogen (H<sub>2</sub>) and underground H<sub>2</sub> storage (UHS) offers advantages such as extended storage duration and large-scale capacity, making it highly promising for future development. However, during UHS, particularly in porous media, microbial metabolic processes such as methanogenesis, acetogenesis, and sulfate reduction may lead to H<sub>2</sub> consumption and the production of byproducts. These microbial activities can impact the efficiency and safety of UHS both positively and negatively. Therefore, this paper provides a comprehensive review of experimental, numerical, and field studies on microbial interactions in UHS within porous media, aiming to capture research progress and elucidate microbial effects. It begins by outlining the primary types of UHS and the key microbial metabolic processes involved. Subsequently, the paper introduces the experimental approaches for investigating gas–water–rock–microbe interactions and interfacial properties, the models and simulators used in numerical studies, and the procedures implemented in field trials. Furthermore, it analyzes and discusses microbial interactions and their positive and negative impacts on UHS in porous media, focusing on aspects such as H<sub>2</sub> consumption, H<sub>2</sub> flow, and storage safety. Based on these insights, recommendations for site selection, engineering operations, and on-site monitoring of UHS, as well as potential future research directions, are provided.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"21 6","pages":"Pages 4067-4099"},"PeriodicalIF":6.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143314141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Impact of molecular composition on viscosity of heavy oil: Machine learning based on semi-quantitative analysis results from high-resolution mass spectrometry 分子组成对重油粘度的影响:基于高分辨率质谱仪半定量分析结果的机器学习
IF 6 1区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-12-01 DOI: 10.1016/j.petsci.2024.03.026
Qian-Hui Zhao, Jian-Xun Wu, Tian-Hang Zhou, Suo-Qi Zhao, Quan Shi
The primary impediment to the recovery of heavy oil lies in its high viscosity, which necessitates a deeper understanding of the molecular mechanisms governing its dynamic behavior for enhanced oil recovery. However, there remains a dearth of understanding regarding the complex molecular composition inherent to heavy oil. In this study, we employed high-resolution mass spectrometry in conjunction with various chemical derivatization and ionization methods to obtain semi-quantitative results of molecular group compositions of 35 heavy oils. The gradient boosting (GB) model has been further used to acquire the feature importance rank (FIR). A feature is an independently observable property of the observed object. Feature importance can measure the contribution of each input feature to the model prediction result, indicate the degree of correlation between the feature and the target, unveil which features are indicative of certain predictions. We have developed a framework for utilizing physical insights into the impact of molecular group compositions on viscosity. The results of machine learning (ML) conducted by GB show that the viscosity of heavy oils is primarily influenced by light components, specifically small molecular hydrocarbons with low condensation degrees, as well as petroleum acids composed of acidic oxygen groups and neutral nitrogen groups. Additionally, large molecular aromatic hydrocarbons and sulfoxides also play significant roles in determine the viscosity.
{"title":"Impact of molecular composition on viscosity of heavy oil: Machine learning based on semi-quantitative analysis results from high-resolution mass spectrometry","authors":"Qian-Hui Zhao,&nbsp;Jian-Xun Wu,&nbsp;Tian-Hang Zhou,&nbsp;Suo-Qi Zhao,&nbsp;Quan Shi","doi":"10.1016/j.petsci.2024.03.026","DOIUrl":"10.1016/j.petsci.2024.03.026","url":null,"abstract":"<div><div>The primary impediment to the recovery of heavy oil lies in its high viscosity, which necessitates a deeper understanding of the molecular mechanisms governing its dynamic behavior for enhanced oil recovery. However, there remains a dearth of understanding regarding the complex molecular composition inherent to heavy oil. In this study, we employed high-resolution mass spectrometry in conjunction with various chemical derivatization and ionization methods to obtain semi-quantitative results of molecular group compositions of 35 heavy oils. The gradient boosting (GB) model has been further used to acquire the feature importance rank (FIR). A feature is an independently observable property of the observed object. Feature importance can measure the contribution of each input feature to the model prediction result, indicate the degree of correlation between the feature and the target, unveil which features are indicative of certain predictions. We have developed a framework for utilizing physical insights into the impact of molecular group compositions on viscosity. The results of machine learning (ML) conducted by GB show that the viscosity of heavy oils is primarily influenced by light components, specifically small molecular hydrocarbons with low condensation degrees, as well as petroleum acids composed of acidic oxygen groups and neutral nitrogen groups. Additionally, large molecular aromatic hydrocarbons and sulfoxides also play significant roles in determine the viscosity.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"21 6","pages":"Pages 4446-4453"},"PeriodicalIF":6.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140404731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Seismic data extrapolation based on multi-scale dynamic time warping 基于多尺度动态时间扭曲的地震数据外推法
IF 6 1区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-12-01 DOI: 10.1016/j.petsci.2024.06.009
Jie-Li Li, Wei-Lin Huang, Rui-Xiang Zhang
Seismic data reconstruction can provide high-density sampling and regular input data for inversion and imaging, playing a crucial role in seismic data processing. In seismic data reconstruction, a common scenario involves a significant distance between the source and the first receiver, which makes it unattainable to acquire near-offset data. A new workflow for seismic data extrapolation is proposed to address this issue, which is based on a multi-scale dynamic time warping (MS-DTW) algorithm. MS-DTW can accurately calculate the time-shift between two time series and is a robust method for predicting time-offset (tx) domain data. Using the time-shift calculated by the MS-DTW as the basic input, predict the two-way traveltime (TWT) of other traces based on the TWT of the reference trace. Perform autoregressive polynomial fitting on TWT and extrapolate TWT based on the fitted polynomial coefficients. Extract amplitude information from the TWT curve, fit the amplitude curve, and extrapolate the amplitude using polynomial coefficients. The proposed workflow does not necessitate data conversion to other domains and does not require prior knowledge of underground geological information. It applies to both isotropic and anisotropic media. The effectiveness of the workflow was verified through synthetic data and field data. The results show that compared with the method of predictive painting based on local slope, this approach can accurately predict missing near-offset seismic signals and demonstrates good robustness to noise.
{"title":"Seismic data extrapolation based on multi-scale dynamic time warping","authors":"Jie-Li Li,&nbsp;Wei-Lin Huang,&nbsp;Rui-Xiang Zhang","doi":"10.1016/j.petsci.2024.06.009","DOIUrl":"10.1016/j.petsci.2024.06.009","url":null,"abstract":"<div><div>Seismic data reconstruction can provide high-density sampling and regular input data for inversion and imaging, playing a crucial role in seismic data processing. In seismic data reconstruction, a common scenario involves a significant distance between the source and the first receiver, which makes it unattainable to acquire near-offset data. A new workflow for seismic data extrapolation is proposed to address this issue, which is based on a multi-scale dynamic time warping (MS-DTW) algorithm. MS-DTW can accurately calculate the time-shift between two time series and is a robust method for predicting time-offset (<span><math><mrow><mi>t</mi><mo>−</mo><mi>x</mi></mrow></math></span>) domain data. Using the time-shift calculated by the MS-DTW as the basic input, predict the two-way traveltime (TWT) of other traces based on the TWT of the reference trace. Perform autoregressive polynomial fitting on TWT and extrapolate TWT based on the fitted polynomial coefficients. Extract amplitude information from the TWT curve, fit the amplitude curve, and extrapolate the amplitude using polynomial coefficients. The proposed workflow does not necessitate data conversion to other domains and does not require prior knowledge of underground geological information. It applies to both isotropic and anisotropic media. The effectiveness of the workflow was verified through synthetic data and field data. The results show that compared with the method of predictive painting based on local slope, this approach can accurately predict missing near-offset seismic signals and demonstrates good robustness to noise.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"21 6","pages":"Pages 3981-4000"},"PeriodicalIF":6.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141403866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Pore-scale probing CO2 huff-n-puff in extracting shale oil from different types of pores using online T1–T2 nuclear magnetic resonance spectroscopy 孔隙尺度 利用在线 T1-T2 核磁共振波谱探测从不同类型的孔隙中提取页岩油过程中的二氧化碳 "呼哧呼哧 "现象
IF 6 1区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-12-01 DOI: 10.1016/j.petsci.2024.07.001
Yi-Jian Ren , Bing Wei , Bing-Xin Ji , Wan-Fen Pu , Dian-Lin Wang , Jin-Yu Tang , Jun Lu
CO2 huff-n-puff shows great potential to promote shale oil recovery after primary depletion. However, the extracting process of shale oil residing in different types of pores induced by the injected CO2 remains unclear. Moreover, how to saturate shale core samples with oil is still an experimental challenge, and needs a recommended procedure. These issues significantly impede probing CO2 huff-n-puff in extracting shale oil as a means of enhanced oil recovery (EOR) processes. In this paper, the oil saturation process of shale core samples and their CO2 extraction response with respect to pore types were investigated using online T1T2 nuclear magnetic resonance (NMR) spectroscopy. The results indicated that the oil saturation of shale core samples rapidly increased in the first 16 days under the conditions of 60 °C and 30 MPa and then tended to plateau. The maximum oil saturation could reach 46.2% after a vacuum and pressurization duration of 20 days. After saturation, three distinct regions were identified on the T1T2 NMR spectra of the shale core samples, corresponding to kerogen, organic pores (OPs), and inorganic pores (IPs), respectively. The oil trapped in IPs was the primary target for CO2 huff-n-puff in shale with a maximum cumulative oil recovery (COR) of 70% original oil in place (OOIP) after three cycles, while the oil trapped in OPs and kerogen presented challenges for extraction (COR < 24.2% OOIP in OPs and almost none for kerogen). CO2 preferentially extracted the accessible oil trapped in large IPs, while due to the tiny pores and strong affinity of oil-wet walls, the oil saturated in OPs mainly existed in an adsorbed state, leading to an insignificant COR. Furthermore, COR demonstrated a linear increasing tendency with soaking pressure, even when the pressure noticeably exceeded the minimum miscible pressure, implying that the formation of a miscible phase between CO2 and oil was not the primary drive for CO2 huff-n-puff in shale.
{"title":"Pore-scale probing CO2 huff-n-puff in extracting shale oil from different types of pores using online T1–T2 nuclear magnetic resonance spectroscopy","authors":"Yi-Jian Ren ,&nbsp;Bing Wei ,&nbsp;Bing-Xin Ji ,&nbsp;Wan-Fen Pu ,&nbsp;Dian-Lin Wang ,&nbsp;Jin-Yu Tang ,&nbsp;Jun Lu","doi":"10.1016/j.petsci.2024.07.001","DOIUrl":"10.1016/j.petsci.2024.07.001","url":null,"abstract":"<div><div>CO<sub>2</sub> huff-n-puff shows great potential to promote shale oil recovery after primary depletion. However, the extracting process of shale oil residing in different types of pores induced by the injected CO<sub>2</sub> remains unclear. Moreover, how to saturate shale core samples with oil is still an experimental challenge, and needs a recommended procedure. These issues significantly impede probing CO<sub>2</sub> huff-n-puff in extracting shale oil as a means of enhanced oil recovery (EOR) processes. In this paper, the oil saturation process of shale core samples and their CO<sub>2</sub> extraction response with respect to pore types were investigated using online <em>T</em><sub>1</sub>–<em>T</em><sub>2</sub> nuclear magnetic resonance (NMR) spectroscopy. The results indicated that the oil saturation of shale core samples rapidly increased in the first 16 days under the conditions of 60 °C and 30 MPa and then tended to plateau. The maximum oil saturation could reach 46.2% after a vacuum and pressurization duration of 20 days. After saturation, three distinct regions were identified on the <em>T</em><sub>1</sub>–<em>T</em><sub>2</sub> NMR spectra of the shale core samples, corresponding to kerogen, organic pores (OPs), and inorganic pores (IPs), respectively. The oil trapped in IPs was the primary target for CO<sub>2</sub> huff-n-puff in shale with a maximum cumulative oil recovery (COR) of 70% original oil in place (OOIP) after three cycles, while the oil trapped in OPs and kerogen presented challenges for extraction (COR &lt; 24.2% OOIP in OPs and almost none for kerogen). CO<sub>2</sub> preferentially extracted the accessible oil trapped in large IPs, while due to the tiny pores and strong affinity of oil-wet walls, the oil saturated in OPs mainly existed in an adsorbed state, leading to an insignificant COR. Furthermore, COR demonstrated a linear increasing tendency with soaking pressure, even when the pressure noticeably exceeded the minimum miscible pressure, implying that the formation of a miscible phase between CO<sub>2</sub> and oil was not the primary drive for CO<sub>2</sub> huff-n-puff in shale.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"21 6","pages":"Pages 4119-4129"},"PeriodicalIF":6.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141708332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Three-dimensional fracture space characterization and conductivity evolution analysis of induced un-propped fractures in shale gas reservoirs 页岩气储层中诱导性未挤压裂缝的三维裂缝空间特征和电导率演化分析
IF 6 1区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-12-01 DOI: 10.1016/j.petsci.2024.07.022
Bin Yang , Wen-Jing Ma , Guan-Chang Pan , Ke-Liu Wu , Ying Zhong , Zhang-Xin Chen
Huge numbers of induced unpropped (IU) fractures are generated near propped fractures during hydraulic fracturing in shale gas reservoirs. But it is still unclear how their fracture space and conductivity evolve under in-situ conditions. This paper prepares three types of samples, namely, manually split vertical/parallel to beddings (MSV, MSP) and parallel natural fractures (NFP), to represent the varied IU fractures as well as their surface morphology. Laser scan and reconstruction demonstrate that the initial fracture spaces of MSVs and MSPs are limited as the asperities of newly created surfaces are well-matched, and the NFPs have bigger space due to inhomogeneous geological corrosion. Surface slippage and consequent asperity mismatch increase the fracture width by several times, and the increase is proportional to surface roughness. Under stressful conditions, the slipped MSVs retain the smallest residual space and conductivity due to the newly sharp asperities. Controlled by the bedding structures and clay mineral hydrations, the conductivity of MSPs decreases most after treated with a fracturing fluid. The NFPs remain the highest conductivity, benefitting from their dispersive, gentle, and strong asperities. The results reveal the diverse evolution trends of IU fractures and can provide reliable parameters for fracturing design, post-fracturing evaluation, and productivity forecasting.
{"title":"Three-dimensional fracture space characterization and conductivity evolution analysis of induced un-propped fractures in shale gas reservoirs","authors":"Bin Yang ,&nbsp;Wen-Jing Ma ,&nbsp;Guan-Chang Pan ,&nbsp;Ke-Liu Wu ,&nbsp;Ying Zhong ,&nbsp;Zhang-Xin Chen","doi":"10.1016/j.petsci.2024.07.022","DOIUrl":"10.1016/j.petsci.2024.07.022","url":null,"abstract":"<div><div>Huge numbers of induced unpropped (IU) fractures are generated near propped fractures during hydraulic fracturing in shale gas reservoirs. But it is still unclear how their fracture space and conductivity evolve under in-situ conditions. This paper prepares three types of samples, namely, manually split vertical/parallel to beddings (MSV, MSP) and parallel natural fractures (NFP), to represent the varied IU fractures as well as their surface morphology. Laser scan and reconstruction demonstrate that the initial fracture spaces of MSVs and MSPs are limited as the asperities of newly created surfaces are well-matched, and the NFPs have bigger space due to inhomogeneous geological corrosion. Surface slippage and consequent asperity mismatch increase the fracture width by several times, and the increase is proportional to surface roughness. Under stressful conditions, the slipped MSVs retain the smallest residual space and conductivity due to the newly sharp asperities. Controlled by the bedding structures and clay mineral hydrations, the conductivity of MSPs decreases most after treated with a fracturing fluid. The NFPs remain the highest conductivity, benefitting from their dispersive, gentle, and strong asperities. The results reveal the diverse evolution trends of IU fractures and can provide reliable parameters for fracturing design, post-fracturing evaluation, and productivity forecasting.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"21 6","pages":"Pages 4248-4261"},"PeriodicalIF":6.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141851213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-fracture growth behavior during TPDF in a horizontal well of multi-clustered perforations: An experimental research 多簇射孔水平井 TPDF 过程中的多裂缝生长行为:实验研究
IF 6 1区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-12-01 DOI: 10.1016/j.petsci.2024.08.003
Yu-Shi Zou , Can Yang , Shi-Cheng Zhang , Xin-Fang Ma , Yan-Chao Li , Long-Qing Zou
Temporary plugging and diverting fracturing (TPDF), involving inner-fracture temporary plugging (IFTP) and inner-stage temporary plugging (ISTP), has been proposed as a widely applied technique in China, for promoting the uniform initiation and propagation of multi-clustered hydraulic fractures (HFs) in a horizontal well of the shale oil/gas reservoirs. However, how the key plugging parameters controlling the multi-fracture growth and the pumping pressure response during TPDF in shale with dense bedding planes (BPs) and natural fractures (NFs) is still unclear, which limits the optimization of TPDF scheme. In this paper, a series of TPDF simulation experiments within a stage of multi-cluster in a horizontal well were carried out on outcrops of Longmaxi Formation shale using a large-scale true tri-axial fracturing simulation system, combined with the acoustic emission (AE) monitor and computed tomography (CT) scanning techniques. Each experiment was divided into three stages, including the conventional fracturing (CF), IFTP and ISTP. Multi-fracture initiation and propagation behavior, and the dominant controlling parameters were examined, containing the particle sizes, concentration of temporary plugging agent (TPA), and cluster number. The results showed that the number of transverse HFs (THFs) and the overall complexity of fracture morphology increase with the increase in TPA concentration and perforation cluster number. Obviously, the required concentration of TPA is positively correlated with the cluster number. Higher peak values and continuous fluctuations of pumping pressure during TPDF may indicate the creation of diversion fractures. The creation of standard THFs during CF is favorable to the creation of diversion fractures during TPDF. Moreover, the activation of BPs nearby the wellbore during CF is unfavorable to the subsequent pressure buildup during TPDF, resulting in poor plugging and diverting effect. Notably, under the strike-slip fault stress regime, the diversion of THFs is not likely during IFTP, which is similar as the results of ISTP to initiate mainly the un-initiated or under-propagated perforation clusters. Three typical pressure curve types during TPDF can be summarized to briefly identify the hydraulic fracture diversion effects, including good (multiple branches or/and THFs can be newly created), fair (HF initiation along the slightly opened BPs and then activating the NFs), and bad (HF initiation along the largely opened BPs and then connecting with the NFs).
临时封堵与分流压裂(TPDF)包括内部裂缝临时封堵(IFTP)和内部阶段临时封堵(ISTP),是一种在中国广泛应用的技术,用于促进页岩油气藏水平井中多簇水力裂缝(HFs)的均匀萌发和传播。然而,在具有致密基底面(BPs)和天然裂缝(NFs)的页岩中,TPDF过程中如何控制多裂缝生长和泵压响应的关键堵塞参数仍不清楚,这限制了TPDF方案的优化。本文利用大型真实三轴压裂模拟系统,结合声发射(AE)监测和计算机断层扫描(CT)技术,在龙马溪地层页岩露头进行了一系列水平井多簇阶段TPDF模拟实验。每次实验分为三个阶段,包括常规压裂(CF)、IFTP 和 ISTP。研究了多重压裂的起始和扩展行为,以及主要的控制参数,包括颗粒尺寸、暂堵剂(TPA)浓度和集束数。结果表明,随着 TPA 浓度和穿孔簇数的增加,横向高频(THF)的数量和断口形态的整体复杂性也随之增加。显然,所需的 TPA 浓度与簇数呈正相关。TPDF期间较高的峰值和持续波动的泵压可能表明产生了分流裂缝。CF期间标准THF的形成有利于TPDF期间分流裂缝的形成。此外,CF期间井筒附近BPs的激活不利于TPDF期间的后续压力积累,导致堵塞和分流效果不佳。值得注意的是,在走向-滑动断层应力机制下,IFTP期间THFs的分流可能性不大,这与ISTP主要启动未启动或未充分推进的射孔群的结果类似。在 TPDF 过程中,可以总结出三种典型的压力曲线类型,以简要识别水力压裂分流效果,包括良好(可以新产生多个分支或/和 THF)、一般(沿轻微打开的 BPs 启动高频,然后激活 NFs)和不良(沿基本打开的 BPs 启动高频,然后与 NFs 连接)。
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引用次数: 0
Multiscale characterization of the Albian-Cenomanian reservoir system behavior: A case study from the North East Abu Gharadig Basin, North Western Desert, Egypt
IF 6 1区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-12-01 DOI: 10.1016/j.petsci.2024.10.010
Ola Rashad , Ahmed Niazy El-Barkooky , Abd El-Moneim El-Araby , Mohamed El-Tonbary
Since its discovery in 2010, the NEAG 2 has been one of the most productive oil fields of the Badr El-Din Petroleum Company (BAPETCO) in the northern Western Desert of Egypt. The Albian-Cenomanian reservoir system has a unique performance but suffers from several issues hindering its production. The latest production report in 2023, NEAG-2 Field was producing 1760 bbls of oil with 36500 bbls of water, i.e., 95% water cut. Despite that, the field has reached a 39% recovery factor but the reservoir forecast suggests a much higher recovery factor. Therefore, the NEAG 2 Field requires a comprehensive geological model to depict its reservoir heterogeneities better. We introduce a solid and integrated workflow to investigate the reservoir characters among different scales of geological heterogeneity and offer solutions to overcome some data gaps. After characterizing the reservoir elements by the structural, stratigraphic, petrographic, and petrophysical analyses, a machine learning-based method was applied to overcome the missing whole rock cores in creating a detailed electro-facies log for all field wells. The Neural-Network algorithm required the facies types to be grouped into definitive reservoir qualities to be applied. The resultant electro-facies log had a very good match with the input logs, which validated the facies grouping. This was followed by the porosity-permeability transforms, estimated from mobility data, to create a permeability curve for all field wells, despite the unavailability of core data. The reservoir was categorized into three rock types, each with a specific range of quality, signifying their different flow abilities which were supported by dynamic data. The Lower Bahariya-Kharita in NEAG 2 was ultimately concluded to be a complex heterogeneous reservoir with varying flow abilities and production behaviors. The recovery factor mismatch is due to unrecovered reserves, and a new production strategy should be introduced to reach the ultimate recovery. This integration of geologic and dynamic data is strongly recommended for any reservoir characterization study to avoid oversimplifying the reservoir system and to design the right reservoir development plan.
{"title":"Multiscale characterization of the Albian-Cenomanian reservoir system behavior: A case study from the North East Abu Gharadig Basin, North Western Desert, Egypt","authors":"Ola Rashad ,&nbsp;Ahmed Niazy El-Barkooky ,&nbsp;Abd El-Moneim El-Araby ,&nbsp;Mohamed El-Tonbary","doi":"10.1016/j.petsci.2024.10.010","DOIUrl":"10.1016/j.petsci.2024.10.010","url":null,"abstract":"<div><div>Since its discovery in 2010, the NEAG 2 has been one of the most productive oil fields of the Badr El-Din Petroleum Company (BAPETCO) in the northern Western Desert of Egypt. The Albian-Cenomanian reservoir system has a unique performance but suffers from several issues hindering its production. The latest production report in 2023, NEAG-2 Field was producing 1760 bbls of oil with 36500 bbls of water, i.e., 95% water cut. Despite that, the field has reached a 39% recovery factor but the reservoir forecast suggests a much higher recovery factor. Therefore, the NEAG 2 Field requires a comprehensive geological model to depict its reservoir heterogeneities better. We introduce a solid and integrated workflow to investigate the reservoir characters among different scales of geological heterogeneity and offer solutions to overcome some data gaps. After characterizing the reservoir elements by the structural, stratigraphic, petrographic, and petrophysical analyses, a machine learning-based method was applied to overcome the missing whole rock cores in creating a detailed electro-facies log for all field wells. The Neural-Network algorithm required the facies types to be grouped into definitive reservoir qualities to be applied. The resultant electro-facies log had a very good match with the input logs, which validated the facies grouping. This was followed by the porosity-permeability transforms, estimated from mobility data, to create a permeability curve for all field wells, despite the unavailability of core data. The reservoir was categorized into three rock types, each with a specific range of quality, signifying their different flow abilities which were supported by dynamic data. The Lower Bahariya-Kharita in NEAG 2 was ultimately concluded to be a complex heterogeneous reservoir with varying flow abilities and production behaviors. The recovery factor mismatch is due to unrecovered reserves, and a new production strategy should be introduced to reach the ultimate recovery. This integration of geologic and dynamic data is strongly recommended for any reservoir characterization study to avoid oversimplifying the reservoir system and to design the right reservoir development plan.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"21 6","pages":"Pages 3909-3936"},"PeriodicalIF":6.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143312960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Extraction of ADCIGs in viscoelastic media based on fractional viscoelastic equations
IF 6 1区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-12-01 DOI: 10.1016/j.petsci.2024.09.027
Wen-Bin Tian , Yang Liu , Jiang-Tao Ma
Angle domain common imaging gathers (ADCIGs) serve as not only an ideal approach for tomographic velocity modeling but also as a crucial means of mitigating low-frequency noise. Thus, they play a significant role in seismic data processing. Recently, the Poynting vector method, due to its lower computational requirements and higher resolution, has become a commonly used approach for obtaining ADCIGs. However, due to the viscoelastic properties of underground media, attenuation effects (phase dispersion and amplitude attenuation) have become a factor, which is important in seismic data processing. However, the primary applications of ADCIGs are currently confined to acoustic and elastic media. To assess the influence of attenuation and elastic effects on ADCIGs, we introduce an extraction method for ADCIGs based on fractional viscoelastic equations. This method enhances ADCIGs accuracy by simultaneously considering both the attenuation and elastic properties of underground media. Meanwhile, the S-wave quasi tensor is used to reduce the impact of P-wave energy on S-wave stress, thus further increasing the accuracy of PS-ADCIGs. In conclusion, our analysis examines the impact of the quality factor Q on ADCIGs and offers theoretical guidance for parameter inversion.
{"title":"Extraction of ADCIGs in viscoelastic media based on fractional viscoelastic equations","authors":"Wen-Bin Tian ,&nbsp;Yang Liu ,&nbsp;Jiang-Tao Ma","doi":"10.1016/j.petsci.2024.09.027","DOIUrl":"10.1016/j.petsci.2024.09.027","url":null,"abstract":"<div><div>Angle domain common imaging gathers (ADCIGs) serve as not only an ideal approach for tomographic velocity modeling but also as a crucial means of mitigating low-frequency noise. Thus, they play a significant role in seismic data processing. Recently, the Poynting vector method, due to its lower computational requirements and higher resolution, has become a commonly used approach for obtaining ADCIGs. However, due to the viscoelastic properties of underground media, attenuation effects (phase dispersion and amplitude attenuation) have become a factor, which is important in seismic data processing. However, the primary applications of ADCIGs are currently confined to acoustic and elastic media. To assess the influence of attenuation and elastic effects on ADCIGs, we introduce an extraction method for ADCIGs based on fractional viscoelastic equations. This method enhances ADCIGs accuracy by simultaneously considering both the attenuation and elastic properties of underground media. Meanwhile, the S-wave quasi tensor is used to reduce the impact of P-wave energy on S-wave stress, thus further increasing the accuracy of PS-ADCIGs. In conclusion, our analysis examines the impact of the quality factor Q on ADCIGs and offers theoretical guidance for parameter inversion.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"21 6","pages":"Pages 4052-4066"},"PeriodicalIF":6.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143312958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Petroleum Science
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