Day 2 Tue, March 14, 2023最新文献

{"title":"Development of Emulsified Acid System using Organoclays","authors":"Ali Adel Mahmoud, Ala AL-Dogail, R. Gajbhiye, Abdullah Alsultan","doi":"10.2118/214149-ms","DOIUrl":"https://doi.org/10.2118/214149-ms","url":null,"abstract":"\u0000 Matrix acidizing technique is used to enhance the production of hydrocarbons from a reservoir, especially in low permeable reservoirs and in the case of formation damage. In carbonate reservoirs, acid stimulation jobs are challenging due to the acid's strong reactivity with the formation. Thus, the ability to create wormholes will be limited. Wormholes allow hydrocarbons to be produced by flowing into the wellbore. Emulsified acids system helps to overcome this challenge by reducing face dissolution. Recently, Pickering emulsions have attracted attention due to their easy preparation and enhanced stability features. In Pickering emulsions, solid microparticles that localize at the interface between liquids are used as stabilizers instead of surfactants.\u0000 The preparation of emulsified acid system (EAS) is a complex process sensitive to several parameters governing the properties/feature of the emulsified system. The parameter includes mixing the aqueous and oleic phase, the rotational speed, the time of mixing, and the quantity of emulsifying agent (organology). It requires performing several experiments to identify the proper procedure and optimum range of the parameters affecting the emulsified acid preparation of desired properties.\u0000 In this study, several experiments were performed using three types of organoclays (OC) namely Claytone-SF (strong), Claytone-EM (medium), and Laponite-EP (weak). Thermal stability tests were carried out at room temperature, 80ºC, and 120ºC. Rheology tests were performed for the most stable emulsions. This study investigated the potential of using special nanoparticles as emulsion stabilizers instead of surfactants. A proper sequence of the component mixing and optimum range of the factors affecting the emulsion preparation and properties were identified. This work aims to study the parameters involved in the emulsified acid preparation and optimize them to obtain a stable EAS.","PeriodicalId":349960,"journal":{"name":"Day 2 Tue, March 14, 2023","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132456528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A High Molecular Polymer LCM to Cure Severe Losses While Drilling Shallow Aquifers in UAE","authors":"T. Hamdan, Raymond Saraji, Tao Yang, R. Al-Rahma, D. Abdullah, Mouza Al Nuaimi, Changjiang Zhou, Xue-Fei Hu, Yi Cheng, Yongjun Guo, Xin-ming Zhang","doi":"10.2118/214191-ms","DOIUrl":"https://doi.org/10.2118/214191-ms","url":null,"abstract":"\u0000 Today, well durations are relatively longer due to several factors. Some of these include but not limited to intermediate section down hole losses. Therefore, there is an opportunity to explore possible ways to reduce well duration and cost while meeting all business objectives with 100% HSE. Dammam, U.E.R, and Simsima are karsts-prone carbonate aquifers widely developed across UAE. As formation pressures are depleted, severe to total losses is increasingly occurred during drilling through these shallow aquifers. Conventional loss curing agents are often failed, especially in Simsima, because of their inability to set in such complex and large fractures and caverns.\u0000 ZND gel is a water-soluble high molecular polymer, which will automatically set and seal the space after being pumped into loss channels. As hardly be diluted by any formation fluid, a gel slug is formed to isolate drilling fluids and consolidate agent from being washed away into loss zones. In this study, we present a composite solution of ZND gel and Cement applied in onshore Abu Dhabi, which effectively mitigated the total losses encountered in Simsima.","PeriodicalId":349960,"journal":{"name":"Day 2 Tue, March 14, 2023","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130654959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Integrated Approach for Reservoir Modelling of Complex Miocene Fan Delta Sandstone, El Morgan Giant Field: A Case Study from Gulf of Suez","authors":"Alaa Hassan Hassan, Ahmed Abdel Razek Kassem, Ahmed Ismail Ismail, Mahmoud Saad Nasr, Mohammed El Sayed Abu El Majd, Mostafa Mamdouh Ibrahim, K. M. Magdy","doi":"10.2118/214237-ms","DOIUrl":"https://doi.org/10.2118/214237-ms","url":null,"abstract":"\u0000 Stock Tank Oil Initially in Place (STOIIP) uncertainty has lately been mentioned as a key influence on mature oil field development plans under the present difficult economic conditions. In the Gulf of Suez, conformance management of multilayered Belayim and Kareem reservoirs with substantial lateral and vertical variability is extremely challenging. In such heterogeneous reservoirs, reservoir productivity and injectivity require a high-quality 3D geo-cellular model.\u0000 El Morgan oil field embraces an area of about 46 sq. kms. The field attained its development maturity. So, this was the driver to look intelligently for new approaches to maximize the production and additional reserves with least cost. There are two separate hydrocarbon columns in the Morgan field, the Belayim and Kareem formations, respectively were deposited during active Gulf of Suez rifting.\u0000 This work focuses on the Belayim reservoir, which is a mature deltaic clastic deposits with variable heterogeneously distributed argillaceous matter. Sedimentologically, five facies of Belayim Formation were recognized and comprise a complex series of deltaic environments ranging from upper fan delta to distal. The sandstones dominantly range from very fine to very coarse-grained and are only weakly to moderately overprint by authigenic cements.\u0000 Moreover, a machine learning approach was applied to predict facies and its reliability versus cored wells, and showed up to 73% accuracy. The integrated evaluation of Belayim reservoir showed that the sandstones is essentially controlled by the primary depositional detrital clay content, with additional control by grain size. The variations in pore system characteristics have been used to define \"rock types,\" which show a good correlation with the reservoir quality trends from the core descriptive lithotype scheme, and can potentially be integrated with MICP data. These rock types show distinct ranges of occurrence within the individual facies and hence allow reasonable predictability of likely reservoir character within the sedimentological framework. The resultant layering scheme was integrated with all available dynamic data to best define the reservoir architecture, and the flow units to construct a fine-grid 3D geological model. An Object modelling method is applied to distribute facies in the model. Porosity modeling is conducted and is subsequently used as a guide for permeability modelling.\u0000 The model results show that the reservoir quality controls optimized the water flooding, particularly in the north block, which is yet to meet the production expectations compared to the south block. Therefore, we recommend the re-completion of the M1-118 well from Kareem injector to be a Belayim producer, with an estimated initial rate of 500 BOPD. We further recommend replacing the scaled up peripheral injector well M1-207ST1 (not accepting water) with a side-track at a better location based on the facies model for restoring the water injection in ","PeriodicalId":349960,"journal":{"name":"Day 2 Tue, March 14, 2023","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134171574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Operational Excellence Through Implementation of Data Governance Policies and Procedures Covering Data Retention, Disposal and Archival: A Collaborative Case Study Between HQ and Group Company, Abu Dhabi, United Arab Emirates (U.A.E)","authors":"Zeeshan Khan, Chang-Hwan Lee, S. Girinathan, Mohammad Mohammad Usman Fareed, Sebastien Ferreira, Fahad Al Saeedi, Sandeep Bishnoi, Ayman Al Maareef, Nadeem Khwaja, Adel Bamakhramah","doi":"10.2118/214226-ms","DOIUrl":"https://doi.org/10.2118/214226-ms","url":null,"abstract":"\u0000 Objectives/Scope: Comprehensive records retention schedules, which are based on records classification structures, are established to reduce costs associated with records growth and duplication, improve access to valuable information, and ensure compliance with applicable laws and regulations.\u0000 All digital technical data, including Geology and Geophysics, Reservoir Engineering, Drilling, etc. need to be preserved forever. Data can be re-used, re-interpreted, re-analyzed for many Years later. If data is \"well organized\", no need to dispose-off anything. Similarly each electronic copy of non-technical data should be preserved.\u0000 Methods, Procedures, Process: Before implementation of the mentioned workflow for Data Archival and Retention of documents, physical copies were kept forever and there was no mechanism for end user to easily access the required files. As policy was formalized at Group level, each assigned focal point was assigned with task of converting physical copies to electronic version (by scanning and uploading onto Network drives and Electronic Document Management Systems (EDMS).\u0000 On completion of scanning activity below retention policy was applied to preserve the physical data for a defined timeframe (mentioned in below table). As files such as Final Well reports, drilling reports etc. are available online and accessible using Network drives / EDMS system, end user can easily access the required files in a matter of seconds which save the tremendous amount of end user time and increase productivity as an organization.\u0000 Since policy is implemented tremendous efforts are placed by focal points to reduce the physical files by coordinating with different physical files sources (internal or external of organization) to provide with Digital copy which is much easier to maintain.","PeriodicalId":349960,"journal":{"name":"Day 2 Tue, March 14, 2023","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132774996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Numerical Study of the Influence of Rock Mineralization on CO2 Storage","authors":"A. Bello, D. Dorhjie, A. Ivanova, A. Cheremisin","doi":"10.2118/214045-ms","DOIUrl":"https://doi.org/10.2118/214045-ms","url":null,"abstract":"\u0000 One of the anthropogenic greenhouse gases that significantly affects the climate is CO2, and it may be possible to lower its emission by sequestering it in an appropriate geological subsurface formation. For secure and effective sequestration, it is necessary to answer questions relating to enhancing the reaction rates of rock minerals to speed up sequestration, understanding the critical reservoir parameters involved with geochemically induced changes and how they affect mineralization, and the affinity of rock minerals for dissolution or precipitation in the presence of CO2 and reservoir brine. Therefore, in this paper, a case study of CO2 sequestration in a saline aquifer was investigated by using a numerical simulator to examine the impacts of injection period, temperature, pressure, and salinity on the CO2 mineralization trapping mechanism during the sequestration process. Nine intra-aqueous and seven mineral reactions were modeled to investigate the dissolution and precipitation of formation minerals. The results of this work can provide the appropriate mineralization temperatures at which each of the simulated minerals can either dissolve or precipitate. Calcite and dolomite mineralize more effectively at medium and lower temperatures, despite the fact that the reaction of other minerals such as illite, kaolinite, K-feldspar, and quartz will be more favored at high temperatures. Porosity and pH showed only slight variations, but they were sufficient to show how the dynamics of mineral reactivity and mineralization trapping efficiency had changed.","PeriodicalId":349960,"journal":{"name":"Day 2 Tue, March 14, 2023","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114213393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovative Management Reporting for Real Time Dynamic Decision Making","authors":"Khairulanuar Samsuddin","doi":"10.2118/214210-ms","DOIUrl":"https://doi.org/10.2118/214210-ms","url":null,"abstract":"\u0000 This manuscript will be consisting of 2 main sections. 1st section which directly addresses the title of this article i.e. innovative management reporting for real time dynamic decision making. The 2nd section of the manuscript will touch 4 frequently asked questions which will support the concept and understanding of the title.","PeriodicalId":349960,"journal":{"name":"Day 2 Tue, March 14, 2023","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128436300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Challenges to Opportunity: Getting Value Out of Unstructured Data Management","authors":"P. Kumar, A. Tveritnev, Salahuddin Abdullah Jan, Rauf Iqbal","doi":"10.2118/214251-ms","DOIUrl":"https://doi.org/10.2118/214251-ms","url":null,"abstract":"\u0000 The phrase unstructured data usually refers to information that doesn't reside in a traditional row-column database. The larger part of enterprise data nearly 80 %, is unstructured and has been much less accessible. From email, text documents, study reports, presentations, memos, to audios, videos and more, unstructured data is huge body of information. This paper proposes a work in progress model to deal with unstructured data management.\u0000 In any E&P company, there is data lying in unstructured format including, local drives, network drives, share points, emails, etc. Data sensitivity plays an important role in classifying the data. Irrespective of the classification, it still holds a valuable information, which can be used for predicting business problems in analytical way. The way knowledge is shared among business through email, attachments, flat files, presentations, it requires a robust system/solution to manage the unstructured data. One of the examples could be, related to decision making. Business decision making happens over email or phone calls. There is a huge knowledge potential that exists in the emails of the business. There is a need to extract this information in a way that, it can be utilized in future for analytical decision making. Duplication is an important aspect of unstructured data managed which needs to be tackled. If we scan the current system, we can find various copies of same document, lying at different places in the organization. Same data keeps on circulating among the business users, thus causing the duplications. By having a system that controls the duplication of unstructured data in a meaningful way, will be beneficial for the organization.\u0000 With the ongoing advancements in Machine learning and Natural language processing with combined analytical tools, time has come to extract value out of unstructured data. The proposed method will be to identify, gather and classify the unstructured data. Create and use a content management tool to organize and manage the unstructured data.Create a standard engine to deal with unstructured data, without having to convert it to structured data format. Apply an analytical engine at the top of this content and do prediction on the data. Whenever a new data comes into the content management, it gets ingested into the prediction analysis tool to assist business in decision making.","PeriodicalId":349960,"journal":{"name":"Day 2 Tue, March 14, 2023","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134268483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In Situ Hydrogen Generation Within Gas Reservoirs","authors":"P. Afanasev, E. Popov, A. Cheremisin, Evgeny Mikitin, V. Darishchev","doi":"10.2118/214036-ms","DOIUrl":"https://doi.org/10.2118/214036-ms","url":null,"abstract":"\u0000 Nowadays, hydrogen is often considered as one of the prospective clean energy carriers. At the same time, the traditional hydrogen production methods also produce significant amounts of greenhouse gases or too expensive to be industrial scaled. In situ hydrogen generation in hydrocarbon-containing reservoirs can be one of the promising ways for low-carbon hydrogen production. However, the conversion of hydrocarbons into hydrogen under the hydrocarbon reservoirs conditions has practically not been studied.\u0000 This work reports experimental results on the catalytic in situ hydrogen generation from methane under the conditions that can be achieved due to the thermal influence on gas-bearing layers. Hydrogen can be generated within gas reservoirs with non-zero residual oil saturation or in the fields with underlying oil-saturated layers due to the catalytic treatment of the reservoir followed by steam injection and/or in situ combustion. First, the thermodynamic restrictions for the process were determined. Then verification concept experiments were performed in the autoclave setup in static and dynamic modes with various operational parameters. The effects of temperature, pressure, and core model type on the hydrogen generation were investigated.\u0000 Results show that temperature higher than 550 ºC should be achieved in the active zone of the target reservoir to convert significant amount of methane to hydrogen. The lower temperatures reached at the active zone are inefficient for the hydrogen generation. This effect can be explained by the thermodynamic restrictions and negative influence of the original core on catalyst activity. Nevertheless, hydrogen concentrations up to 70.8% mol. and 34.0% mol. were achieved in the experiments at 800 ºC in the presence of the inert (crushed alumina) and the original core models, respectively. At this temperature, strong reducing conditions influence the catalyst activity. Conducted experiments proved the main principles of the in situ hydrogen generation technology and evidenced that hydrogen generation in gas reservoirs is prospective when realized jointly with the catalyst treatment and in situ combustion method. This innovative technology can help humanity decarbonize the energy sector using unclaimed hydrocarbon resources of depleted and abandoned gas reservoirs without greenhouse gas emissions.","PeriodicalId":349960,"journal":{"name":"Day 2 Tue, March 14, 2023","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116790725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ESP Failure Prediction in Water Supply Wells Using Unsupervised Learning","authors":"N. Reddicharla, Mayada Ali Sultan Ali, S. Alshehhi, Ayman Elmansour, Prabhaker Reddy Vanam","doi":"10.2118/214010-ms","DOIUrl":"https://doi.org/10.2118/214010-ms","url":null,"abstract":"\u0000 Water injection is seen as one of the key field development strategies to achieve the mandated production target as it will maintain reservoir pressure as well as improve sweep efficiency and increase field recovery factor. In current practices water supply wells workovers are planned after Electrical Submersible Pumps (ESP) are failed by adopting run to fail approach. This lead to decrease in well availability and increase in down time which impacts water injection cluster capacity in giant matured onshore oil field.\u0000 The objective of this solution is to early detect the failures for ESP wells using Machine Learning (ML), by demonstrating the feasibility of this approach and verifying that the concept has practical potential, the tool can be used to reduce deferment and increase well availability either by extending time-to-failure or better planning and scheduling the workovers. In this solution, Predictive Analytics model was developed based on Algorithms using field sensor data, and well failure history to predict ESP well failure probability. Due to the limited available ESP real time data, it would be a challenge to have an accurate model. The downhole and temperature data is not available in these ESP wells. Hence, we have adopted unsupervised classification approach combined with statistical calculations such as MTBF based on failure history. The solution provides a probability of ESP failures based on the anomalies (anomaly severity) detected from unsupervised machine learning model (individual cluster based), MTBF & number of starts. The probability is normalized based weight-based approach. Additional criteria can be added and considered in the future to fine tune the model and predictions.\u0000 The approach has successfully evaluated on 34 water injection clusters in this giant field. The model is able to predict 77% of failures historical failures successfully. The limitations in ESP down-hole data availability and real time quality issues impacted model accuracy. The solution has been successfully deployed in real time mode and able to predict failures 90 to 120 days before failures. This has resulted increase in well availability by 10% and increased water injection system capacity.\u0000 This machine learning based approach has been extended to all water injection clusters and also capitalized in other fields to increase well availability and grow capacity with the increasing demand for water injection to sustain and grow production volumes","PeriodicalId":349960,"journal":{"name":"Day 2 Tue, March 14, 2023","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122055071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Two Phase Relative Permeability Curve Upscaling of Naturally Fractured Reservoirs Under Poro-Elastic Environment","authors":"Reda Abdel Azim, G. Hamada, Abdurrahman Al Jehani","doi":"10.2118/214276-ms","DOIUrl":"https://doi.org/10.2118/214276-ms","url":null,"abstract":"\u0000 The target of upscaling is to replace the very fine and detailed models with coarse models, including much less data. These coarse models are more feasible for running simulations than the fine models. However, upscaling does not aim to speed up reservoir simulations at the cost of simulation results. This study presents an innovative approach to upscale the two-phase core relative permeability to reservoir grid block scale under poro-elastic framework for fractured basement reservoirs using glass bead laboratory measurements and finite element technique. This approach uses a hybrid methodology to calculate grid block equivalent permeability tensors by combining the discrete fracture network and single permeability approaches. The first step in the workflow of upscaling the core relative permeability curve is dividing the reservoir into a number of grid blocks (20 m × 20 m × 30 m) and then the individual grid block is divided into laboratory glass bead model scale of (20 cm × 10 m × 2 cm) to enhance the upscaling process. Next, the new generated kr curves ( Fahad et al. 2013) correlation bas ed on glass bead scale is is used to upscale the laboratory relative permeability curve to each fine-scale grid. The Levenberg-Marquardt inversion algorithm is used during the simulation process of the relative permeability upscaling to match produced oil recovery before and after upscaling. The results illustrate that the upscaling kr curves process is strongly affected applied stresses, fracture orientation and connectivity.","PeriodicalId":349960,"journal":{"name":"Day 2 Tue, March 14, 2023","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125515063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}