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Characteristics and Mechanism of Upper Permian reef reservoirs in the Eastern Longgang Area, Northeastern Sichuan Basin, China

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Petroleum 2020年第2期6卷 130-137页

作者： Lei Tan Hong Liu Yuzhe Tang Bing Luo Ya Zhang Yuran Yang Yisha Liao Weifeng du Xiran Yang School of Geosciences and Technology Southwest Petroleum UniversityChengdu610500China Beijing Petroleum Machinery Co. CNPC Engineering Technology R&D Company LimitedBeijing102206China The Institute of Exploration and Development of Southwest Oil and Gas Field Branch PetroChinaChengdu610059China Chongqing Gas Field Southwest Oil&Gas Field CompanyPetroChinaChongqing400021China Bureau of Geophysical Prospecting China National Petroleum Corp Zhuozhou072750China Northwest Sichuan Gas Field Southwest Oil&Gas Field CompanyPetroChinaJiangyou621709China

As a typical kind of lithologic reservoirs,reef reservoirs are generally featured by their large single-well reservoir thickness,good reservoir physical properties,and high gas well *** Upper Permian Changxing Formation is an important natural gas exploration target in the Sichuan Basin,which hosts a large reef gas reservoir and is mainly distributed along the Kaijiang-Liangping *** analyses are implemented to investigate reservoir characteristics and identify controlling factors of reef reservoirs in Changxing Formation in the Eastern Longgang Area,Northeastern Sichuan Basin,including core,logging,and seismic data *** Formation reservoirs in the study area mainly occur in the reef-shoal complex,which are featured by wide distribution,large thickness and generally good physical *** rocks are dominantly composed of bioclastic dolomite and silty-fine dolomite(with grain phantom structure),while the main reservoir space consists of residual intergranular pores,intergranular dissolution pores,and karst *** the seismic profiles,typical mound-shaped chaotic reflections can be clearly *** is suggested by the main reservoir development controlling factor analysis that the distributions of reef reservoirs are typically controlled by sedimentary facies belts,while the scale of the reef-shoal complex is determined by the pene-sedimentary *** can not only significantly preserve the primary pores but also enhance the permeability of ***,karstification is the key to high-quality reef-shoal reservoirs.

关键词： Changxing formation reef reservoir characteristics Essential factors Eastern longgang

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Autonomous Heavy-duty Mobile Machinery: A Multidisciplinary Collaborative Challenge

arXiv

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arXiv 2021年

作者： Machado, Tyrone Fassbender, david Taheri, Abdolreza Eriksson, daniel Gupta, Himanshu Molaei, Amirmasoud Forte, Paolo rai, Prashant Kumar Ghabcheloo, reza Mäkinen, Saku Lilienthal, Achim J. Andreasson, Henrik Geimer, Marcus Department of System Development Bosch Rexroth AG Elchingen Germany Faculty of Engineering and Natural Sciences Tampere University Tampere Finland R&D Wheel Loader- Emerging Technologies Liebherr-Werk Bischofshofen GmbH Bischofshofen Austria School of Science and Technology Örebro University Örebro Sweden Institute of Vehicle System Technology Karlsruhe Institute of Technology Karlsruhe Germany Faculty of Management and Business Tampere University Tampere Finland

Heavy-duty mobile machines (HdMMs) are a wide range of machinery used in diverse and critical application areas which are currently facing several issues like skilled labor shortages, poor safety records, and harsh work environments. Consequently, efforts are underway to increase automation in HdMMs for increased productivity and safety, eventually transitioning to operator-less autonomous HdMMs to address skilled labor shortages. However, HdMMs are complex machines requiring continuous physical and cognitive inputs from human operators. Thus, developing autonomous HdMMs is a huge challenge, with current research and developments fragmented into several independent research domains. Furthermore, autonomous HdMM technologies are a stack of several technologies requiring a convergence of diverse competencies from the different domains. Through this study, we provide an overview of the HdMM industry and use the bounded rationality concept to propose multidisciplinary collaborations for new developments in autonomous HdMMs. Furthermore, we apply the transaction cost economics framework to highlight the conceptual challenges and implications of these collaborations. Therefore, we bring together several domains of the HdMM industry to introduce autonomous HdMMs as a general and unified approach. The collaborative challenges and potentials are mapped out between the following topics: mechanical systems, AI methods, software systems, sensors, connectivity, simulations and process optimization, business cases, organization theories, and finally, regulatory frameworks. In doing so, we highlight the need for new and multidisciplinary perspectives that should be considered by academic and industrial practitioners working on the development and deployment of autonomous HdMMs. © 2021, CC BY-NC-Nd.

关键词： Machinery

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Two-Step Nucleation and Amorphization of Carbamazepine Using a Micro-droplet Precipitation System

SSRN

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SSrN 2024年

作者： Bae, Jaehyeong Li, Cheongcheon Park, Ju Hyun Go, Eun Min Lee, Jonghwi Kwak, Sang Kyu Seo, Tae Seok Department of Chemical Engineering College of Engineering Kyung Hee University 1732 Deogyeong-daero Giheung-gu Gyeonggi-do Yongin17104 Korea Republic of Department of Chemical Engineering and Materials Science Chung-Ang University 84 Heukseok-ro Dongjak-gu Seoul06974 Korea Republic of Electrode Development Team Samsung SDI Co. Ltd. R&D Center 130 Samsung-ro Yeongtong-gu Suwon16678 Korea Republic of Corning Technology Center Korea Corning Precision Materials Co. Ltd. 212 Tangjeongro Chungcheongnam-do Asan31454 Korea Republic of Department of Chemical and Biological Engineering Korea University 145 Anam-ro Seongbuk-gu Seoul02841 Korea Republic of

Controlling the crystallinity of pharmaceutical drugs is important for clinical efficacy, as poor solubility often necessitates high dosages to achieve therapeutic effects, leading to dose-related adverse effect such as dose fluctuation and inconstant drug actions. Carbamazepine is a poorly soluble crystalline antiepileptic drug used for epilepsy and trigeminal neuralgia, whose clinical efficacy is compromised by its low solubility and slow dissolution. Here, we investigated amorphization of carbamazepine to enhance its solubility by using a micro-droplet precipitation system. These micro-droplets serve as individual reactors, enabling homogeneous nucleation for precipitation of carbamazepine. during crystallization, carbamazepine undergo an intermediate liquid-liquid phase transition characteristic of two-step nucleation. By varying the solvent composition (methanol/water), we characterized the kinetics and stability of the intermediate liquid phase under various conditions. Our results indicate that carbamazepine can undergo either one-step liquid-to-amorphous solid phase transition or two-step liquid-to-crystalline solid phase transition. Notably, both transitions pass through a liquid-to-dense liquid phase separation process starting from the supersaturated solution, where the generated intermediate phases exhibit different sizes and numbers influenced by the solvent and concentration. Our findings not only elucidate the mechanism underlying carbamazepine phase transition but also propose a novel method for producing amorphous formulations, which could be broadly applicable to other poorly soluble pharmaceutical compounds, offering significant improvements in drug efficacy and patient compliance. © 2024, The Authors. All rights reserved.

关键词： Amorphization

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dead Pixel detection on Liquid Crystal displays using random Forest, SVM, and Harris detector

Dead Pixel Detection on Liquid Crystal Displays using Random...

引用

IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： david A.O. Ferreira diego A. Amoedo Luciana r. Costa Myke d.M. Valadão Adriana S. Souza Kethilen Y. Ouchi Antônio M.C. Pereira Gustavo M. Torres Mateus O. Silva Caio F.S. Cruz Agemilson P. Silva ruan J.S. Belem Anderson S. Jesus André S. Costa Lucas G.C. Evangelista Osmar r.A. Silva Thiago B. Bezerra Waldir S.S. Júnior Celso B. Carvalho Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI) Brazil ENVISION/TPV Technology Limited Brazil ICTS Institute Center of Development Research in Software Technology Brazil

ISBN: (数字)9781728173993

ISBN: (纸本)9781728174006

Manufacturing TVs and monitors requires an effective method to detect the dead pixels. These defects are usually identified by operators manually. However, manual inspection is susceptible to failure due to human fatigue and generate a high cost for production process. In this work, conducted by three partners (UFAM/CETELI, ICTS and ENVISION/TPV), we propose three methods for automated detection of dead pixels. Two proposed methods were based on machine learning (ML) techniques, random forest (rF) and support vector machine (SVM) algorithms. The third method was based in digital image processing (dIP), Harris algorithm. As result, the SVM obtained the better performance with 92.1% of precision in two of three used image database.

关键词： databases Support vector machines radio frequency Liquid crystal displays Measurement Training Monitoring

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Automated dead/Bright Pixel distance Measurement System on Computer Monitors

Automated Dead/Bright Pixel Distance Measurement System on C...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Victor L.G. Cavalcante diego A. Amoedo Adriana S. Souza Luciana r. Costa Myke d.M. Valadão Caio F.S. Cruz Agemilson P. Silva ruan J.S. Belem Anderson S. Jesus Lucas G.C. Evangelista Osmar r.A. Silva ricardo G. Paula Thiago B. Bezerra Waldir S.S. Júnior Celso B. Carvalho Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI) Brazil ENVISION/TPV Technology Limited Brazil ICTS Institute Center of Development Research in Software Technology Brazil

ISBN: (数字)9781728173993

ISBN: (纸本)9781728174006

In this work, conducted by three partners (UFAM/CETELI, ICTS and ENVISION/TPV), we propose an automated dead/bright pixel distance measurement system for use on monitors and TVs screen. The proposed system use Homography transformation and proportion estimation and some simple detection algorithms to detect edge, corners, and contour. As result, the proposed system perform the 700 Euclidean distance in millimeters. As result, the average distance measurement error was 0.44 millimeter.

关键词： TV Image edge detection Estimation Euclidean distance detection algorithms Monitoring Corner detection

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Corrigendum to "An industrial approach towards solid dosage development for first-in-human studies: Application of predictive science and lean principles" [drug discov. Today 25 (2020) 505-518]

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drug discovery today 2021年第8期26卷 2076页

作者： dhaval r Kalaria Keith Parker Gavin K reynolds Johanna Laru Early Product Development Pharmaceutical Sciences R&D AstraZeneca Macclesfield UK. Electronic address: dhaval.kalaria@***. Early Product Development Pharmaceutical Sciences R&D AstraZeneca Macclesfield UK. Global Product Development Pharmaceutical Technology & Development AstraZeneca Macclesfield UK.

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OA12.03 Osimertinib After definitive CrT in Unresectable Stage III EGFr-mutated NSCLC: Safety Outcomes from the Phase 3 LAUrA Study

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Journal of Thoracic Oncology 2024年第10期19卷 S36-S36页

作者： T. Kato X. dong T. Takahashi N. Soparattanapaisarn S.L. Geater K.V. Nguyen C.-L. Wang E. Arriola F. Moiseenko L. Thompson S. Harker E. Grainger E. Armenteros-Monterroso A. Bolanos S. ramalingam S. Lu Department of Thoracic Oncology Kanagawa Cancer Center Yokohama/JP Cancer Center Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan/CN Division of Thoracic Oncology Shizuoka Cancer Center Shizuoka/JP Mahidol University Sriraj Hospital Bangkok/TH Prince of Songkla University Hat Yai District Songkhla/TH Cho Ray Hospital Oncology Department Ho Chi Minh/VN Division of Pulmonary Oncology and Interventional Bronchoscopy Department of Thoracic Medicine Chang Gung Memorial Hospital Taoyuan/TW Hospital del Mar Medical Research Institute Barcelona/ES Chemotherapy Department Saint-Petersburg Clinical Scientific and Practical Center for Specialized Types of Medical Care (Oncological) Saint Petersburg/RU Global Patient Safety Oncology R&D AstraZeneca Cambridge/GB Global Patient Safety Oncology R&D AstraZeneca Luton/GB Biometrics Late-stage Development Oncology R&D AstraZeneca Cambridge/GB Late-stage Development Oncology R&D AstraZeneca Barcelona/ES Late-stage Development Oncology R&D AstraZeneca Mississauga/ON/CA Department of Hematology and Medical Oncology Emory University School of Medicine Winship Cancer Institute Atlanta/GA/USA Shanghai Lung Cancer Center Shanghai Chest Hospital School of Medicine Shanghai Jiao Tong University Shanghai/CN

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Industry-Scale Orchestrated Federated Learning for drug discovery

arXiv

引用

arXiv 2022年

作者： Oldenhof, Martijn Ács, Gergely Pejó, Balázs Schuffenhauer, Ansgar Holway, Nicholas Sturm, Noé dieckmann, Arne Fortmeier, Oliver Boniface, Eric Mayer, Clément Gohier, Arnaud Schmidtke, Peter Niwayama, ritsuya Kopecky, dieter Mervin, Lewis rathi, Prakash Chandra Friedrich, Lukas Formanek, András Antal, Peter rahaman, Jordon Zalewski, Adam Heyndrickx, Wouter Oluoch, Ezron Stößel, Manuel Vančo, Michal Endico, david Gelus, Fabien de Boisfossé, Thaïs darbier, Adrien Nicollet, Ashley Blottière, Matthieu Telenczuk, Maria Nguyen, Van Tien Martinez, Thibaud Boillet, Camille Moutet, Kelvin Picosson, Alexandre Gasser, Aurélien djafar, Inal Simon, Antoine Arany, Ádám Simm, Jaak Moreau, Yves Engkvist, Ola Ceulemans, Hugo Marini, Camille Galtier, Mathieu Ku Leuven ESAT-STADIUS Kasteelpark Arenberg 10 Heverlee3001 Belgium BME-HIT CrySyS Lab Budapest Hungary BME-MIT Budapest Hungary Novartis Institutes for BioMedical Research Novartis Campus BaselCH-4002 Switzerland Bayer Ag Leverkusen51373 Germany Substra Foundation Labelia Labs Nantes France Discngine 79 Avenue Ledru Rollin Paris75012 France Institut de Recherches Servier 125 chemin de ronde Croissy-sur-Seine78290 France Boehringer Ingelheim Rcv GmbH & Co Kg Vienna Austria Molecular Ai Discovery Sciences R&d AstraZeneca Cambridge United Kingdom R&d It AstraZeneca Cambridge United Kingdom Molecular Ai Discovery Sciences R&d AstraZeneca Gothenburg Sweden Department of Computer Science and Engineering Chalmers University of Technology Gothenburg Sweden Merck KGaA Global Research & Development Frankfurter Strasse 250 Darmstadt64293 Germany GmbH Staffelseestraße 2 Munich81477 Germany Pillar Biosciences Inc. 9 Strathmore Rd NatickMA01760 United States Janssen Pharmaceutica Nv Turnhoutseweg 30 Beerse2340 Belgium Kubermatic Hamburg Germany Owkin Paris France

To apply federated learning to drug discovery we developed a novel platform in the context of European Innovative Medicines Initiative (IMI) project MELLOddY (grant n°831472), which was comprised of 10 pharmaceutical companies, academic research labs, large industrial companies and startups. The MELLOddY platform was the first industry-scale platform to enable the creation of a global federated model for drug discovery without sharing the confidential data sets of the individual partners. The federated model was trained on the platform by aggregating the gradients of all contributing partners in a cryptographic, secure way following each training iteration. The platform was deployed on an Amazon Web Services (AWS) multi-account architecture running Kubernetes clusters in private subnets. Organisationally, the roles of the different partners were codified as different rights and permissions on the platform and administrated in a decentralized way. The MELLOddY platform generated new scientific discoveries which are described in a companion paper. Copyright © 2022, The Authors. All rights reserved.

关键词： Web services

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Process modelling of biodiesel production process using genetic programming

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Materials Today: Proceedings 2024年

作者： Ishwer Shivakoti Jasgurpeet Singh Chohan divya Zindani Kanak Kalita Department of Mechanical Engineering Sikkim Manipal Institute of Technology Rangpo 737102 India Department of Mechanical Engineering and University Centre for Research & Development Chandigarh University Mohali 140413 India Department of Mechanical Engineering Sri Sivasubramaniya Nadar (SSN) College of Engineering Kalavakkam 603 110 India Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi 600062 India

Biodiesel production is a complex process that involves a number of process parameters. These process parameters must be carefully optimized to increase its yield. In this paper, a process model for biodiesel production is developed by using genetic programming (GP). A case study on biodiesel production from palm oil transesterification is selected from the literature to analyze the proposed methodology. The dataset from literature is based on a central composite design (CCd) with four process parameters (namely methanol-to-oil ratio ( x 1 ), catalyst loading ( x 2 ), reaction time ( x 3 ) and reaction temperature ( x 4 )). The FAME yield % is the target response. The available CCd data is divided into dedicated training (90 %) and testing (10 %) sets to analyze and evaluate the predictive power of the GP metamodel. The GP metamodel is trained using the tuned parameters and validated on the testing data using various statistical metrics. A high accuracy with an r 2 of 0.9676 for training data and 0.8834 for testing data is obtained. This study shows that the GP metamodel is a robust and accurate approach to model biodiesel production processes.

关键词： Biodiesel production Genetic programming Process modeling Central composite design response surface methodology

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Novel Translucent Hollow Fiber Polyvinylidene Fluoride Photocatalytic Membrane: The role of Translucency on degradation Efficiency

SSRN

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SSrN 2023年

作者： Kannathasan, Komathi Jaafar, Juhana Suhaimin, Nuor Sariyan Jafri, Nurul Natasha Mohammad Samitsu, Sadaki Alias, N.H. Ismail, A.F. Matsuura, T. Othman, M.H.d. rahman, Mukhlis A. Aziz, Farhana Yusof, Norhaniza Qtaishat, Mohammed rasool Ismail, M.I. Faculty of Chemical and Energy Engineering Universiti Teknologi Malaysia Johor Johor Bahru81310 UTM Malaysia National Institute for Materials Science 1-2-1 Sengen Tsukuba305-0047 Japan Department of Oil and Gas Engineering School of Chemical Engineering College of Engineering Universiti Teknologi MARA Selangor Shah Alam40450 Malaysia Industrial Membrane Research Laboratory Department of Chemical Engineering University of Ottawa Canada King Abdullah University of Science and Technology Innovation and Economic Development Building #24 Innovation Cluster 3 #3-335 Thuwal23955-6900 Saudi Arabia UMW Innovation and R&D Centre Mukim Bandar Serendah Serendah Hulu Selangor Selangor48200 Malaysia

A novel thermally modified non-solvent induced phase separation (T-NIPS) fabrication method to produce translucent hollow fiber PVdF (THF-PVdF) photocatalytic membrane is developed. This method relies on attacking polymer crystalline property of PVdF by two steps temperature treatment process involving melting at high temperature (200°C) and rapid cooling at 0°C during spinning process thereby producing more γ-phase crystalline structure PVdF. The effect of membrane translucency on the photodegradation efficiency of immobilized photocatalyst were assessed. Graphitic carbon nitride in modified morphological structure (hollow nanofiber) were utilized. Membrane’s rejection, pure water flux and permeate flux of oil produced water were also investigated. The overall data shows that the produced membrane exhibits high translucency between 60.0% and 93.9% with THF-PVdF/PVP-GCN (2.0) exhibiting the highest. Comparatively, the filtration experiment on membrane with GCN photocatalyst showed high pure water flux (1200 L/m2h) and rejection (90%) of OPW than bare THF-PVdF and THF-PVdF/PVP. The photodegradation of GCN in suspended mode showed 99.98% degradation. The efficiency of GCN when immobilized in translucent membrane showed 95% photodegradation while membrane that is produced following commercial NIPS method showed only 49.40% photodegradation of OPW. This excellent performance is attributed by the transparency of membrane where the penetration of light is fully accommodated to the produced translucent photocatalytic membrane. The translucent photocatalytic membrane's preparation process and exceptional degradation efficiency meet the demands of current industrial productivity while also offering a bright application prospect for the industry. © 2023, The Authors. All rights reserved.

关键词： Crystal structure

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