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2025 SPE Conference at Oman Petroleum and Energy Show, OPES 2025

作者： Gao, Guangliang duan, Bin Zhang, Yang Yang, Zhibin Liu, Wei Zhang, Xianguo Qiu, Xiaosong Liu, Mancang Huang, Xingning State Key Laboratory of Deep Oil and Gas China University of Petroleum - East China Shandong Qingdao China PetroChina Jidong Oilfield Company Hebei Tangshan China Underground Gas Storage Research Center PetroChina Research Institute of Petroleum Exploration & Development Hebei Langfang China National Energy Underground Gas Storage R&D Center Hebei Langfang China CK Energy Technology Co. Ltd Chengdu China

ISBN: (纸本)9781959025740

In the Jidong region of the JS Basin, deep shale gas horizontal wells at depths over 3,500 meters have experienced casing deformation issues during staged fracturing operations. This problem has significantly constrained the development efficiency of deep shale gas in this area. A multi-factor analysis was conducted on typical deep shale gas horizontal wells in the Jidong block, further clarifying the main characteristics and causes of casing deformation. Physical simulation analysis of casing deformation during shale gas well fracturing revealed the mechanism behind the casing deformation, providing a theoretical basis for prediction and prevention. It was found that casing deformation in deep horizontal wells in the Jidong block is primarily influenced by geological and engineering factors. during fracturing, large volumes of fracturing fluid are injected into the formation, and after connecting with natural fractures, the formation exerts shear stress on the wellbore, leading to casing damage. The results show that in the presence of natural fractures, varying stress conditions can alter the direction of hydraulic fracture propagation. Under strike-slip fault stress conditions, hydraulic fractures are prone to deflection, causing shear deformation. The stress state and the inclination of natural fractures are the primary factors influencing the slip and movement of the fracture surfaces. Under strike-slip fault stress conditions, natural fractures are more likely to experience slip and shear, leading to casing deformation. The closer the natural fractures are to the Coulomb failure surface, the more likely they are to slip and displace, causing casing deformation. Further analysis of field wells confirmed the contributing factors to casing deformation, providing technical guidance and experience for the prediction and prevention of casing deformation. Copyright 2025, Society of Petroleum Engineers.

关键词： Horizontal wells

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Highly Thermal Conductive Graphene Frameworks Enhanced Paraffin Composite for Thermal Management of Electronics

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SSrN 2023年

作者： Huang, Wentian Wang, Zhicheng Zhou, Hangjing Yu, Zhiqiang Hao, Zhenliang Gao, Yu Cai, Xiaoming Cai, Jinming Faculty of Materials Science and Engineering Kunming University of Science and Technology Kunming650000 China Graphene Technology R&D Center Guangdong Morion Nanotechnology Co. Ltd Dongguan523069 China

More effective thermal management for current electronic devices is extremely important and challenging than before. Phase change materials (PCMs) based on paraffin wax (PW) is one of promising choices in the field. However, two inevitable obstacles of the poor shape stability and low thermal conductivity severely limit their development and application. In this study, the pure graphene micro-nano pores films (GMNFs) are prepared by common foaming and heat treatment. The GMNFs can provide highly thermal conductivity and stable supporting framework for pure PW to obtain the graphene-based PCMs (GPCMs). The as-prepared GPCM shows high thermal conductivity of 208.08 W·m-1·K-1 and latent heat of 156.97 J·g-1, when the ratio of pure-graphene framework is 20.6 wt%. Moreover, the GPCM shows super stability with negligible mass loss, even when the temperature reaches 147.4 ℃ which is considerably higher than that in the normal operating electronic devices. The performances of GPCMs are easily tunable with reconstructing the GMNFs for different requirements of thermal management. All these contribute GPCMs to show huge potential for the industrial production and the practical applications in electronic devices. © 2023, The Authors. All rights reserved.

关键词： Graphene

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High Performance Lamellar Structured Graphene Oxide Nanocomposite Membranes Via Fe3o4-Coordinated Phytic Acid Control of Interlayer Spacing for Organic Solvent Nanofiltration (Osn)

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SSrN 2024年

作者： Hung, Wei-Song Abebe, Shalligito Habetamu Subrahmanya, T.M. Austria, Hannah Faye M. Nayak, Smrutiranjan Huang, Tsung-Han Setiawan, Owen Hu, Chien-Chieh Lee, Kueir-rarn Lai, Juin-Yih Advanced Membrane Materials Research Center Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei10607 Taiwan R&D Center for Membrane Technology Chung Yuan University Chung-Li32023 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan32023 Taiwan

Graphene oxide (GO), a 2d nanomaterial known for its precise molecular sieving, holds potential for wastewater treatment and Organic Solvent Nanofiltration (OSN). However, challenges such as thin interlayer spacing, extended diffusion pathways, and susceptibility to dehydration and negative charge-induced swelling limit its separation performance. To overcome these limitations, Herein, we have fabricated novel Fe3O4 coordinated PhA intercalated GO nanocomposite membranes. Impressively, these nanocomposite membranes exhibited remarkable separation efficiency for dyes, pesticides, and pharmaceutical ingredients, addressing the drawbacks associated with pristine GO membranes and enhancing their overall performance. The optimum G10(1)/P1.5-F100µL nanocomposite membrane displayed impressive solvent permeance of 40.43, 33.45, 20.70, 16.24, and 5.6 L/m² h bar for acetone, methanol, water, ethanol, and IPA, respectively, while maintaining a rejection rate of ≥98.97% for the MO dye (MW=327.33 g/mol). Furthermore, the membrane exhibited outstanding efficiency in separating tetracycline (TC) in ethanol (≥97.97%) and Pendimethalin (PM) in water (≥99.88%). Additionally, it demonstrated high rejection capabilities for MB (≥97%) and Cr (≥98.78%) in harsh dMF solvent. Importantly, the nanocomposite membrane displayed outstanding durability throughout continuous separation of Pendimethalin (PM) in a water solution over a period of 72 hours. The PM separation remained nearly unchanged for the entire 72-hour duration, demonstrating high mechanical strength and chemical stability. Additionally, the single nanocomposite membrane showcased high efficiency in feed change separation, successfully separating Cr in ethanol and PM in water. These results, compared to the other GO-based nanocomposite membranes, demonstrate the exceptional stability and immense potential for real OSN applications. © 2024, The Authors. All rights reserved.

关键词： Magnetite

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Space-filling experimental design for efficient Bayesian optimization

Space-filling experimental design for efficient Bayesian opt...

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

作者： Shigeru Kinoshita Yuta Inoue Tetsuro Watanabe Kosuke Ikeda Seiwa Nishio Atsushi Teruya Naoki Sakai Takashi Goda Frontier Technology R&D Institute KIOXIA Corporation Yokohama-shi Japan Advanced Memory Development Center KIOXIA Corporation Yokkaichi-shi Japan Graduate School of Engineering The University of Tokyo Bunkyo-ku Japan

ISBN: (数字)9798331510589

ISBN: (纸本)9798331510596

In this study, we propose a space-filling Latin hypercube design with small fill distance and large separation radius based on simulated annealing for efficient Bayesian optimization. Through an example focused on optimizing high aspect ratio hole etching, we demonstrate that initial sampling with the proposed design is advantageous compared to conventional designs in terms of the convergence of Bayesian optimization with fewer experiments.

关键词： Wet etching Atomic layer deposition Simulated annealing Semiconductor device manufacture Hypercubes Bayes methods Optimization Convergence

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Microstructure, Mechanical Properties and Wear resistance of Fe-Al Based Alloys with Various Alloying Elements

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MrS Online Proceedings Library 2021年第1期842卷 19-24页

作者： Han-Sol Kim In-dong Yeo Tae-Yeub ra Won-Yong Kim Advanced Materials R&D Center Korea Institute of Industrial Technology Incheon Korea

We report on microstructure, mechanical properties and wear resistance of Fe-Al based alloys with various alloying elements. The microstructures were examined using optical and scanning electron microscopy (SEM) equipped with energy dispersive X-ray spectroscope (EdS). Two types of alloys were prepared using vacuum arc melting; one is Fe-28A1 based alloys (d03 structured) with and without alloying elements such as Mo and Zr. The other one is Fe-35A1 based alloys (B2 structured) produced with same manner. For both types of alloys, equiaxed microstructures were observed by the addition of Mo, while dendritic structures were observed by the Zr addition. These microstructural features were more evinced with increasing the content of alloying elements. Concerning the mechanical properties and wear resistance, Fe-35Al based alloys with or without Mo addition superior to Fe-28Al based alloys especially in the high temperature region.

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Eco-Friendly Lamellar Structured Graphene Oxide-Lysine Nanocomposite Membranes with Varying d-Spacing for Enhanced Pervaporation desalination

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SSrN 2024年

作者： Abebe, Shalligito Habetamu Subrahmanya, T.M. Carballo, Gabriel V. Huang, Tsung-Han Austria, Hannah Faye M. Chang, Huai-Che Hu, Chien-Chieh Lee, Kueir-rarn Lai, Juin-Yih Wei-Song, Hung Advanced membrane materials research center Graduate Institute of Applied science and Technology National Taiwan University of Science and Technology Taipei10607 Taiwan R&D Center for Membrane Technology Chung Yuan University Chung-Li32023 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan32023 Taiwan

Millions face water scarcity, making affordable desalination essential. Membranes, in particular pervaporation desalination membranes, especially GO-based membranes, are promising owing to their high salt rejection. However, issues like high tendency to swelling and selectivity-permeability trade-offs limited their commercial use. To address this challenge, lysine-intercalated GO nanocomposite membranes were developed for improving pervaporation desalination performance and stability of the GO membrane. These nanocomposite membranes were coated onto a nylon 66 substrate (pore size= 0.22 µm). Key nanocomposite membrane physicochemical characteristics such as interlayer spacing (d-spacing), thickness of the membranes, hydrophilicity, and stability were found to significantly impact pervaporation desalination performance. Experimental findings indicate that lysine intercalation into GO increases both the interlayer spacing and the stability of the nanocomposite membrane. Moreover, lysine enhances the hydrophilicity of the nanocomposite membranes. Optimal performance for pervaporation desalination using GO-Lysine nanocomposite membranes was achieved at 30 °C and 60 minutes. The optimum GO-L0.1 nanocomposite membrane demonstrated superior performance with a NaCl rejection rate of over 99.99% and a water flux of 66.27 ± 0.86 kg m⁻² h⁻¹ when tested using a 3.5% NaCl solution at 70 °C. Additionally, the optimum GO-L0.1 nanocomposite membrane maintained consistent NaCl rejection and water flux over extended use. Consequently, GO-Lysine nanocomposite membranes show great potential compared to reported GO-Based membranes for pervaporation desalination applications. © 2024, The Authors. All rights reserved.

关键词： desalination

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development of a Task Allocation Framework for Agricultural Machines with Algorithm Selection and Hyper-Parameter Tuning

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SSrN 2024年

作者： Hayakawa, Kenta Miyashita, Shunsuke Fujiwara, Nagahiro Takamido, ryota Ota, Jun Department of Precision Engineering School of Engineering The University of Tokyo Japan Technology Innovation R&D Dept. II Research & Development Head-quarters KUBOTA Corporation Japan School of Engineering The University of Tokyo Japan

The increasing global demand for food has highlighted the importance of enhancing agricultural productivity. This necessity has spurred interest in smart agriculture, which incorporates advanced technology. A significant challenge within this domain involves optimizing task assignment and route planning for multiple agricultural machines to maximize their efficiency. Although numerous methods have been proposed in prior research, a comprehensive task allocation system that can accommodate diverse constraints and objective functions has yet to be developed. This study introduces a framework for such a system and demonstrates its effectiveness through computer simulations. These simulations highlight the most suitable optimization methods and hyperparameters, taking into account the scale of farmland and computational time constraints. Specifically, environments such as small-scale farms or those with sufficient computational time are found to benefit from simulated annealing. In contrast, large-scale farms or scenarios requiring rapid computations are more apt for local search techniques. Furthermore, genetic algorithms (GA) prove advantageous in large-scale farming contexts, whereas ant colony optimization (ACO) is less effective when compared to other algorithms. © 2024, The Authors. All rights reserved.

关键词： Ant colony optimization

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Lithology-controlled stress variations of Longmaxi shale–Example of an appraisal wellbore in the Changning area

Rock Mechanics Bulletin

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rock Mechanics Bulletin 2022年第1期1卷 53-68页

作者： Xiaodong Ma Shihuai Zhang Xiaowen Zhang Jiandong Liu Juan Jin Wei Cheng Weidong Jiang Guangming Zhang Zhaowei Chen Mark d.Zoback ETH Zürich Department of Earth SciencesSwitzerland Research Institute of Petroleum Exploration&Development PetroChinaChina Key Laboratory of Oil&Gas Production CNPCChina CNPC Engineering Technology R&D Company Limited China Stanford University Department of GeophysicsUnited States

The Longmaxi shale is an extensive,prolific unconventional play in southwestern *** development in the Changning area is affected by ineffective hydraulic fracturing(HF)stimulation,fault reactivation and casing *** is suspected that the stress contrast within and between the shale reservoirs and the formations above and below matters to hydraulic fracture propagation and reservoir *** this end,the Longmaxi shale in the Changning area deserves a dedicated quantification of the in situ stress state and its *** this study,we re-visit the available data from one of the play’s first appraisal wellbores(X01)for an integrated geomechanics study,focusing on profiling the stress across the Longmaxi and its adjacent *** geophysical logs and other stress indicators,we re-interpret its stress profile in the context of lithological *** resulting stress variations are modeled primarily through a viscoplastic stress relaxation framework,compared with the results via the frictional equilibrium and an elastic theory(the Extended Eaton model).We offer some discussions on the differences and similarities of these stress profiling methods,and examine their applicability to Longmaxi shale in the Changning *** objective is to connect the lithology-controlled stress variations to the first-order complexities(HF ineffectiveness and fault reactivation)that have been observed in the area to date.

关键词： China shale formations

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Prediction Improvement of Compressive Strength and Strain of directionally Solidified Tial Alloy Based on Training data Size Adjustment

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SSrN 2023年

作者： Kwak, Seungmi Kim, Jaehwang ding, Hongsheng Liang, He Chen, ruirun Guo, Jingjie Fu, Hengzhi National Key Laboratory for Precision Hot Processing of Metals School of Materials Science and Engineering Harbin Institute of Technology Harbin150001 China Carbon Materials Application R&D Group Korea Institute of Industrial Technology Jeonju54853 Korea Republic of

Compressive strength and compressive strain, which are one of the important mechanical properties of directionally solidified TiAl alloy, were predicted using machine learning algorithm models, Multiple Linear regression (MLr), and random Forest regression (rFr). The input variables of the machine learning model were set as the composition of the directionally solidified TiAl alloy, experimental parameters (pulling velocity, input power), and compression test parameters (strain rate, compression temperature). Compression strength and compression strain were designated as the output variables. While the typical training and testing data ratio is 8:2, in this study, different ratios of 9:1, 7:3, and 6:4 were used for machine learning, and excellent r2 values were obtained in all ratios. Through the rFr algorithm, feature importance was obtained to determine which factor has the most influence on the output variable. Through the feature importance, temperature had the greatest influence on compressive strength, and the Er element had the most significant influence on compressive strain. Through the feature importance results, it was possible to quantitatively investigate the relationship between the Er element, a microalloying element that affects the microstructure of TiAl alloy, and the compressive properties. Furthermore, the study was conducted on which data ratio between training and testing data is most suitable for predicting the compressive strength and strain of TiAl alloy. © 2023, The Authors. All rights reserved.

关键词： Forecasting

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Blockchain technology for Enhanced Transparency, Efficiency, and Security in Supply Chain Management 3

Blockchain Technology for Enhanced Transparency, Efficiency,...

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3rd International Conference on Automation, Computing and renewable Systems, ICACrS 2024

作者： Krishna, Santhosh B.V. Lakshmi, M. Vanitha Sathyanarayanan, S. Balaji, L. Harshith, C.M. Kaliappan, S. New Horizon College of Engineering Bangalore India Department of ECE School of Engineering Presidency University Bengaluru India Sri Sathya Sai University for Human Excellence Karnataka Gulbarga India Dept of ECE School of Electrical and Communication Vel Tech Rangarajan Dr. Sagunthala R&D institute of Science and Technology Avadi Chennai600062 India Division of Research and Development Lovely Professional University Punjab India

ISBN: (纸本)9798331532420

Though innovation in barcodes, GPS, and IoT sensors has enhanced the scope of modern supply chains to track assets to a larger extent, it raises a critical challenge for centralized systems in terms of data breaches, unauthorized access, and manipulation. Blockchain technology serves as an optimum decentralized and tamper-proof solution for further improvement of data integrity, security, and transparency. This paper discusses the integration of blockchain into supply chains its benefits and challenges and its potential to change global supply chain operations at its very core. In a nutshell, the system proposed outlines a blockchain-based framework using IoT, GPS, and smart contracts that guarantee traceability, security, and efficiency throughout the supply chain in real time. The results are showing high improvement in transparency, security, and operational efficiency, which will certainly lead to its usage cases in varied sectors. © 2024 IEEE.

关键词： data integrity

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