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2025 International Petroleum technology Conference, IPTC 2025

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

ISBN: (纸本)9781959025436

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

关键词： Crude oil

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Identification and antioxidant activity of natural functional microstructures produced with various neutral chemicals and bovine serum albumin

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Food Bioscience 2022年第5期49卷 833-841页

作者： Zeynep Ziyade Ozacar Atheer Atiroglu Vesen Atiroglu Nuray Güy Mahmut Ozacar Sakarya University Science&Arts FacultyDepartment of Chemistry54187SakaryaTurkey Sakarya University BiomedicalMagnetic and Semiconductor Materials Application and Research Center(BIMAS-RC)54187SakaryaTurkey Sakarya University BiomaterialsEnergyPhotocatalysisEnzymeTechnologyNan&Advanced MaterialsAdditive ManufacturingEnvironmental Applications and Sustainability Research&Development Group(BIOENAMS R&D Group)54187SakaryaTurkey

Stress-related conditions are a product of modern practices,and different treatments,such as meditation,yoga,and antistress medications,are utilized to reduce disincentive stress *** medicines are rescued humanity from a variety of illnesses,and they could be able to provide adequate responses to stress-induced *** this article,bovine serum albumin(BSA)microparticles comprising germinated seeds wheat-ginger,germinated seeds wheat-rosemary loaded BSA microparticles(GSW-rOS-MPs),germinated seeds wheat-asafoetida loaded BSA microparticles(GSW-ASA-MPs),ginger-rosemary loaded BSA microparticles(GIN-rOS-MPs),resveratrol-ginger microspheres(rES-GIN-MSs),resveratrol-rosemary microspheres(rES-rOS-MSs),resveratrol-asafoetida microspheres(rES-ASA-MSs),and asafoetida-ginger microspheres(ASA-GIN-MSs)were enhanced to improve the biopharmaceutical features of the neutral *** all MPs kinds synthesized had a so-called spherical morphology,the microspheres were found to be non-porous and with a smooth spherical surface *** antiradical activities were *** activities of rES-ASA-MSs and GIN-rOS-MPs were found to be ***,BSA-containing rES-ASA-MSs and GIN-rOS-MPs can be alternative systems for improving the features of these compounds and administering them therapeutically *** conclusion,all prepared compounds in the present study displayed substantial in vitro free radical-scavenging capability which was dose dependent and be applicate in oxidative stress-based diseases.

关键词： Microstructures Asafoetida rosemary resveratrol and ginger

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Pilot Tests of Enhanced Oil recovery by Integrating Conformance Control Treatment and Surfactant Flooding for Low Permeability reservoirs

Pilot Tests of Enhanced Oil Recovery by Integrating Conforma...

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Abu dhabi International Petroleum Exhibition and Conference 2022, AdIPEC 2022

作者： Zhou, Nancy Chun Lu, Meng Liu, Yajun Li, Jianshen Liu, Fuchen Li, Wenhong Wu, Xinwei rao, Tianli Zhao, Kun Yang, Lu Wang, Yajun Gu, renchao CNPC USA United States CNPC Engineering Technology R&D Company Limited PetroChina Changqing Oilfield Company National Engineering Laboratory for Exploration Development of Low-Permeability Oil & Gas Fields China

ISBN: (纸本)9781613998724

For fractured low permeability reservoirs, there are challenges to enhance oil recovery after water flooding with high water cut contents. Because of unsatisfied surfactant polymer flooding, we explored the integrated EOr techniques of conformance control treatment and surfactant flooding. This paper analyzes the results of pilot tests with four injectors and 16 producers and concludes the effectiveness of integrated EOr techniques. Based on lab results of conformance control core flooding tests and surfactant based chemical EOr reservoir core flooding experiments, we did pilot simulation studies to develop pilot design parameters. Then through history match and detailed compositional simulation, we made EOr integrated technology design and compared several injection scenarios by predicting the potential performance. Finally, an integrated EOr technique with two conformance control treatments and surfactant flooding was selected and executed for three injectors in the interested pilot block. For the fourth injector, only surfactant flooding was used to compare. Lab results of conformance control core flooding tests showed the efficiency of plugging and a good fluid diversion performance of conformance polymer agents. Surfactant based chemical EOr reservoir core flooding experiments resulted from 70% to 98% residual crude oil recovery. The experimental data obtained was implemented in a numerical simulator model to find the potential incremental recovery associated with conformance control treatments and chemical flooding. A refined sector model used to further evaluate the effect of them. Positive simulation results boost pilot tests. Five fluid injection slugs including the cleaning slug, pre-flooding slug, near wellbore plugging slug, in deep conformance control slug, and surfactant flooding slug were run for three injectors in the range of eight to ten months of treatment. In the interested pilot block, the monthly decreasing rate of oil production dropped from 3

关键词： Low permeability reservoirs

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Fortifying Cloud data Security with the Maritime Search and rescue Algorithm 2

Fortifying Cloud Data Security with the Maritime Search and ...

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2nd International Conference on data Science and Information System, ICdSIS 2024

作者： Monica, K.M. Parameswaran, T. Swapna, J. Prabu, S. Kaliappan, S. Vit University School Of Computer Science And Engineering Chennai India Cmr University Lakeside Campus School Of Engineering And Technology Department Of Computer Science And Engineering Bangalore India Veltech Rangarajan Dr.Sagunthala R&d Institute Of Science And Technology Department Of Computer Science And Engineering Tamilnadu Chennai India Mahendra Institute Of Technology Department Of Ece Namakkal India Lovely Professional University Division Of Research And Development Punjab Phagwara India

ISBN: (纸本)9798350381665

Cloud computing has fundamentally transformed the accessibility and payment models of services within distributed system environments. In response to heightened security concerns, cloud service providers offer diverse resources spanning Infrastructure, Software, Platform, and database services, supported by security measures such as Service Level Agreements (SLAs), access control rules, and cryptographic methods. This paper introduces a novel data encryption technique, termed data Security in Cloud Computing using Maritime Search and rescue Algorithm (dSCC-MSrA). By integrating an enhanced cypher block chaining algorithm with logical substitution and the Maritime Search and rescue Algorithm (MSrA) for key generation, this method provides a unique approach to encryption. Through rigorous optimization and analysis, it has undergone significant refinement, with comparisons against industry-standard algorithms showcasing its efficacy. The primary objective is to elevate encryption procedures and introduce complexity to cryptanalysis, ultimately enhancing data security in cloud computing. © 2024 IEEE.

关键词： Cryptography

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design of Novel High-Strength Ni-Based Superalloys Using a data-driven Approach

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Transactions of the Indian Institute of Metals 2025年第7期78卷 1-11页

作者： Xie, Jinli Qin, Hailong Liu, Pei Shi, Songyi Cheng, Yixin Sun, Zhimin Xu, Bin Beijing GAONA Materials & Technology Co. LTD Beijing China Beijing Key Laboratory of Advanced High Temperature Materials Central Iron & Steel Research Institute Beijing China Material Digital R&D Center China Iron & Steel Research Institute Group Beijing China

designing compositions to improve yield strength for Ni-based superalloys is a vital operation on aeroengines to improve thrust-weight ratio. A data-driven approach by combining machine learning and theory-physical models is proposed to design high-strength Ni-based superalloys. Using machine learning to select 12 critical features to build predicting model, the design space having 372,763 alloys then is determined. The theory-physical models on matrix stability, precipitate stability and the solvus temperature of γ′ are used to select microstructure. The Gaussian process model is built to predict yield strength, determining Ni-15Co-15Cr-4Mo-4Al-3Ti as designed alloy. Experimental tests verify the designed alloy having the features of microstructure stability, the 1142 °C solvus temperature of γ′, and the yield strength of 657 MPa at 850 °C. To still further improve yield strength, the strengthening mechanisms on precipitate shearing and coherency strain are discussed in detail. A feasible measure is that scales down the particle diameter of secondary γ′ through increasing the cooling rate of solution treatment. The data-driven superalloy-design way can be used as a typical case of big data technology accelerating alloy design. This work taking data-driven concept has a vital significance on avoiding excessive trial-and-error waste to save costs.

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Optimal design of WET Etching Bath for 3d Flash Memories Using Multi-Objective Bayesian Optimization

Optimal Design of WET Etching Bath for 3D Flash Memories Usi...

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Joint e-Manufacturing and design Collaboration Symposium (eMdC) & International Symposium on Semiconductor Manufacturing (ISSM)

作者： Miyuki Kouda Yumi Mori Tomohiko Sugita Youyang Ng AI & System Research Center Frontier Technology R&D Institute KIOXIA Corporation Yokkaichi-shi Japan AI & System Research Center Frontier Technology R&D Institute KIOXIA Corporation Yokohama-shi Japan Advanced Memory Process Development Center Memory Division KIOXIA Corporation Yokkaichi-shi Japan

ISBN: (数字)9798331510589

ISBN: (纸本)9798331510596

In recent years, the complexity of semiconductor manufacturing processes has increased, leading to a growing need for the high-precision optimization of device structures. For example, in batch-type wet etching devices, the flow of chemical liquids within the process bath can vary depending on the device structure, causing variations in the etching state of the wafer. This issue is addressed using a feedback mechanism that iteratively adjusts the device structure based on the results of an etching experiment, thereby achieving more uniform etching conditions. However, this approach requires a large number of trial experiments. In the fabrication process of 3d flash memories, word-line formation in the silicon substrate requires precise control of the silicon concentration in the etching solution. However, this concentration can fluctuate due to the dissolution of the SiN film during the etching process. This fluctuation may cause various problems. This study introduces an innovative method utilizing multi-objective Bayesian optimization to derive optimal wet etching bath design parameters; this method is informed by image and physical-quantity data from fluid dynamics simulations [1]. This approach is validated through simulation experiments, whose results are used to identify the best possible wet etching bath designs effectively.

关键词： Wet etching Three-dimensional displays Fluid dynamics Semiconductor device manufacture Silicon Bayes methods Flash memories Optimization Silicon dioxide Substrates

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design of Multi-Layered Gradient Catalysts for Efficient Proton Exchange Membrane Fuel Cells

SSRN

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SSrN 2023年

作者： Shin, Jeehoon Son, Mingyu Kim, Sun-I Song, Shin Ae Lee, duck Hyun Green Materials and Processes R&D Group Korea Institute of Industrial Technology Ulsan44413 Korea Republic of Digital Transformation R&D Department Korea Institute of Industrial Technology Ansan15588 Korea Republic of School of Advanced Materials and Electrical Engineering Andong National University Andong36729 Korea Republic of

Efficient catalyst layers (CLs) in proton exchange membrane fuel cells (PEMFCs) should possess a highly active surface for electrochemical reaction and an ideal platform for simultaneous mass transfer. Efforts have been devoted to lower the widely used Pt and Nafion loading due to their high cost. However, the increase in gas transport resistance and decrease in transfer ability of protons and electrons result in a degraded fuel cell performance. Therefore, CL design with optimal efficiency is important for high performance and stability of PEMFCs. In this study, we design gradient multi-layered CLs in which the loadings of Pt-C catalyst and Nafion ionomer are set differently for each layer to increase efficiency. For ideal cell performance, the ionomer loading should be higher near the membrane layer and Pt-C loading should be higher near the gas diffusion layer. In addition, we confirm that if the loading difference between layers in the gradient CL becomes excessively large, performance can degrade due to the non-uniform Pt active surface. Thus, we design a 5-layer CL and find that designing more layers to reduce the difference in loading between layers results in higher electrochemical surface area (ECSA) and improved performance. © 2023, The Authors. All rights reserved.

关键词： Catalysts

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Gain Penalty for Stability-Guaranteed reinforcement Learning via Small Gain Theorem

Gain Penalty for Stability-Guaranteed Reinforcement Learning...

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SICE Annual Conference

作者： Nobuyuki Yoshikawa ryoichi Takase Information Technology R&D Lab. Mitsubishi Electric Kanagawa Japan Research & Development Group Hitachi Ltd Tokyo Japan

The gain penalty method is investigated to ensure the stability of the closed-loop system consisting of a neural network controller and a target plant. The gain penalty is defined to constrain the L 2 gain of the closed-loop system in order to satisfy the small-gain theorem. To apply the gain penalty method for the target plant which do not have finite L 2 gain, the imaginary feedback gain is introduced to be the plant that has a finite L 2 gain. Numerical experiments are performed on two types of linear time-invariant (LTI) systems to investigate the property of the proposed methods in terms of learning efficiency.

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Physiological and molecular mechanisms of insect appendage regeneration

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Cell regeneration 2023年第1期12卷 351-362页

作者： Jiru Zhong Andi Jing Shaojuan Zheng Sheng Li Xiaoshuai Zhang Chonghua ren Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology Guangzhou Key Laboratory of Insect Development Regulation and Application ResearchInstitute of Insect Science and TechnologySchool of Life SciencesSouth China Normal UniversityGuangzhou 510631China Guangmeiyuan R&D Center Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied TechnologySouth China Normal UniversityMeizhou 514779China

regeneration,as a fascinating scientific field,refers to the ability of animals replacing lost tissue or body *** metazoan organisms have been reported with the regeneration phenomena,but showing evolutionarily variable *** the most diverse metazoan taxon,hundreds of insects show strong appendage regeneration *** regeneration process and ability are dependent on many factors,including macroscopic physiological conditions and microscopic molecular *** article reviews research progress on the physiological conditions and internal underlying mechanisms controlling appendage regeneration in insects.

关键词： Appendage regeneration Physiological condition Molecular mechanism Signaling pathways Epigenetics Insects

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Unraveling the Effect of Temperature and Humidity Alternation on 6061 Aluminum Alloy Corrosion Behavior in Simulated Urban Industrial Environment

SSRN

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SSrN 2024年

作者： Liu, Xiao-Lei du, Hua-Yun Jia, Jianwen Wei, Ying-Hui Hou, Li-Feng Wang, Qian He, Hong-Wei Wei, Huan Liu, Xiao-da Zhou, Yan Gao, Yi-Bin Department of Materials Science and Engineering Taiyuan University of Technology Taiyuan030024 China Aluminum-Magnesium Based New Material R&D Co. Ltd. Xing Xian County Economic and Technological Development Zone Lvliang035300 China Taiyuan University of Technology China

The effect of temperature and humidity alternation on the corrosion behavior and mechanical properties of 6061 aluminum alloy in a simulated urban industrial atmospheric environment was investigated and analyzed by weightlessness method, scanning electron microscope (SEM), energy dispersive spectrometer (EdS), Fourier infrared spectroscopy (FT-Ir), X-ray diffraction (Xrd), and dynamic potential polarization (LSV). The fluctuation of the composition, structure and morphology of the corrosion product layer are studied, the entry of corrosive medium destroy the densification and the second phase bring the potential difference, which causes the corrosion to expand internally and accelerates the localized corrosion. The corrosion rate shows a trend of first gradually increasing and then decreasing, corresponding to the formation of the initial oxide film hinders the corrosion, and then the local product film separation leads to the weakening of the corrosion resistance. The mechanical properties are significantly reduced after corrosion, and the fracture mechanism is transformed from the ductile fracture to the cleavage fracture gradually. © 2024, The Authors. All rights reserved.

关键词： ductile fracture

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