Workshop: Advanced Manufacturing for the Oil and Gas Energy Industry; Houston, Texas; November 2014

研讨会:石油和天然气能源行业的先进制造;

基本信息

项目摘要

For the foreseeable future, clean oil and gas (O&G) is likely to remain the largest and the most economical source of energy. The advent of unconventional (shale) energy sources during the past decade offers an unprecedented opportunity to promote manufacturing resurgence, which in turn is essential to absorb the projected abundance of energy (45 quadrillion BTUs of annual production) and chemical feedstock. Recent advances in manufacturing technologies (e.g., additive, ultraprecision, and nano-manufacturing) offer a mostly untapped opportunity to create high value products (e.g., nanowire thermoelectrics) out of byproducts (e.g., sulfuric compounds) that are generally treated as waste in O&G value chains. These technologies can lead to an exciting possibility of transforming the O&G sector into a net-zero material footprint industry. Additionally, fundamental research that addresses key scientific and technological challenges in processing (e.g., drilling, and coating) complex and advanced materials (e.g., shale rock and alloy steel) pertinent to the O&G energy industry will also be beneficial to other industries in the country. The workshop will be held in Houston, which is considered as the nation's hub for the O&G energy industry, in November 2014. This workshop brings together a team of invited speakers to identify research and education needs in advanced manufacturing for the O&G energy industry. The invited speakers bring distinct and complementary expertise in O&G practice, materials processing (e.g., nano-manufacturing technologies, rock drilling process), manufacturing machines and tools (e.g., precision machines, diamond bits for horizontal drilling), enterprise systems (e.g., energy supply chains, transport and storage), and public policy (e.g., environmental and workforce related). The main objectives of the workshop are as follows: (1) Examine the state-of-the-art in manufacturing process technologies, automation methods and equipment, and systems-level research for the O&G energy industry taking place in academia, industry, and research labs; (2) Assess future prospects and outlook, including the growth in energy supply and the demand for advanced machinery and processes; (3) Gather the O&G industry perspective of the short-term (1-3 year ahead) and long-term (3-10 years ahead) research issues; (4) Identify and formulate specific needs, gaps and challenges, especially in the upstream (extraction of oil and gas) and the midstream (storage and transport) of the O&G value stream; (5) Formulate recommendations for research and education programs to advance manufacturing technologies and systems for the O&G energy industry.
在可预见的未来,清洁石油和天然气(O G)可能仍然是最大和最经济的能源。在过去十年中,非常规(页岩)能源的出现为促进制造业复苏提供了前所未有的机会,而这反过来又是吸收预计丰富的能源(年产量为45000 BTU)和化学原料的关键。制造技术的最新进展(例如,增材制造、超精密制造和纳米制造)提供了一个几乎未开发的机会来制造高价值产品(例如,纳米线热电体)的副产物(例如,含硫化合物),通常在O G价值链中作为废物处理。 这些技术可以带来一种令人兴奋的可能性,将OG行业转变为净零材料足迹行业。此外,解决加工过程中关键科学和技术挑战的基础研究(例如,钻孔和涂覆)复杂和先进的材料(例如,页岩和合金钢)也将有利于该国的其他行业。该研讨会将于2014年11月在休斯顿举行,休斯顿被认为是美国O G能源行业的中心。该研讨会汇集了一个特邀演讲者团队,以确定O G能源行业先进制造业的研究和教育需求。受邀演讲者带来了独特的和互补的专业知识,在O G实践,材料加工(例如,纳米制造技术,钻岩工艺),制造机器和工具(例如,精密机器,用于水平钻孔的金刚石钻头),企业系统(例如,能源供应链、运输和储存),以及公共政策(例如,环境和劳动力相关)。研讨会的主要目的如下:(1)考察在学术界、工业界和研究实验室中进行的O G能源行业的制造工艺技术、自动化方法和设备以及系统级研究的最新&水平;(2)评估未来前景和展望,包括能源供应的增长以及对先进机械和工艺的需求;(3)评估未来能源供应的增长以及对先进机械和工艺的需求。(3)收集O& G行业对短期(未来1-3年)和长期(未来3-10年)研究问题的看法;(4)确定和制定具体的需求、差距和挑战,特别是在O G价值流的上游(石油和天然气开采)和中游(储存和运输)&;(5)制定研究和教育计划的建议,以推进O G能源行业的制造技术和系统&。

项目成果

期刊论文数量(0)
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Satish Bukkapatnam其他文献

Pre-programing the glass transition temperature and transformation strain of shape memory polymers in fused deposition modeling process
  • DOI:
    10.1016/j.cirp.2024.04.067
  • 发表时间:
    2024-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Apostolis Argyros;Andreas K. Lianos;Dimitris Lagoudas;Nikolaos Michailidis;Satish Bukkapatnam
  • 通讯作者:
    Satish Bukkapatnam
Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data
使用有限数据的机器学习增强惯性约束聚变目标抛光表面光滑度预测
  • DOI:
    10.48550/arxiv.2312.10553
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Antonios Alexos;Junze Liu;Akash Tiwari;Kshitij Bhardwaj;Sean Hayes;Pierre Baldi;Satish Bukkapatnam;S. Bhandarkar
  • 通讯作者:
    S. Bhandarkar
Real-time monitoring of the spatiotemporal thermal state of fused filament fabrication process for shape memory polymers
  • DOI:
    10.1016/j.mfglet.2024.09.170
  • 发表时间:
    2024-10-01
  • 期刊:
  • 影响因子:
  • 作者:
    Andreas Lianos;Sneha Papineni;Dimitris Lagoudas;Satish Bukkapatnam
  • 通讯作者:
    Satish Bukkapatnam
Detecting anomalous motions in ultraprecision shell-polishing process combining unsupervised spectral-band identification and Explainable-AI
结合无监督光谱带识别和可解释人工智能来检测超精密外壳抛光过程中的异常运动
  • DOI:
    10.1016/j.jmsy.2024.04.004
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    12.1
  • 作者:
    Shashank Galla;Akash Tiwari;Saikiran Chary Nalband;Sean Hayes;Suhas Bhandarkar;Satish Bukkapatnam
  • 通讯作者:
    Satish Bukkapatnam
Toward digitally twinning the process of creating machine controller digital twins – A G-code generation scenario
  • DOI:
    10.1016/j.mfglet.2024.09.182
  • 发表时间:
    2024-10-01
  • 期刊:
  • 影响因子:
  • 作者:
    Abhishek Hanchate;Akash Tiwari;Satish Bukkapatnam
  • 通讯作者:
    Satish Bukkapatnam

Satish Bukkapatnam的其他文献

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{{ truncateString('Satish Bukkapatnam', 18)}}的其他基金

Localized Finishing of Freeform Geometries using Dynamic Magnetic Field-Manipulated Magneto-Viscoelastic Fluids
使用动态磁场操纵磁粘弹性流体对自由形状几何形状进行局部精加工
  • 批准号:
    1538501
  • 财政年份:
    2016
  • 资助金额:
    $ 3.7万
  • 项目类别:
    Standard Grant
PFI-AIR-TT: Wearable sleepwear for quantitative prognostication and noninvasive therapy of obstructive sleep apnea
PFI-AIR-TT:可穿戴睡衣,用于阻塞性睡眠呼吸暂停的定量预测和无创治疗
  • 批准号:
    1543226
  • 财政年份:
    2015
  • 资助金额:
    $ 3.7万
  • 项目类别:
    Standard Grant
Characterization and Real Time Defect Mitigation in Chemical/Mechanical Polishing of Microelectronic Wafers Using Decision Theory and MultiSensor Fusion
使用决策理论和多传感器融合对微电子晶圆化学/机械抛光进行表征和实时缺陷缓解
  • 批准号:
    1437139
  • 财政年份:
    2014
  • 资助金额:
    $ 3.7万
  • 项目类别:
    Standard Grant
I-Corps: SleepEez: Point-of-care sensor for prediction and prevention of sleep apnea
I-Corps:SleepEez:用于预测和预防睡眠呼吸暂停的护理点传感器
  • 批准号:
    1432920
  • 财政年份:
    2014
  • 资助金额:
    $ 3.7万
  • 项目类别:
    Standard Grant
Atomistic Dynamics of Acoustic Emission (AE) Generation in Ultra-Precision Machining (UPM) for Incipient Anomaly Detection
用于早期异常检测的超精密加工 (UPM) 中声发射 (AE) 生成的原子动力学
  • 批准号:
    1432914
  • 财政年份:
    2014
  • 资助金额:
    $ 3.7万
  • 项目类别:
    Standard Grant
I-Corps: SleepEez: Point-of-care sensor for prediction and prevention of sleep apnea
I-Corps:SleepEez:用于预测和预防睡眠呼吸暂停的护理点传感器
  • 批准号:
    1355765
  • 财政年份:
    2013
  • 资助金额:
    $ 3.7万
  • 项目类别:
    Standard Grant
Atomistic Dynamics of Acoustic Emission (AE) Generation in Ultra-Precision Machining (UPM) for Incipient Anomaly Detection
用于早期异常检测的超精密加工 (UPM) 中声发射 (AE) 生成的原子动力学
  • 批准号:
    1301439
  • 财政年份:
    2013
  • 资助金额:
    $ 3.7万
  • 项目类别:
    Standard Grant
I-Corps: HealthSmart Technical Development Plan
I-Corps:HealthSmart 技术开发计划
  • 批准号:
    1247523
  • 财政年份:
    2012
  • 资助金额:
    $ 3.7万
  • 项目类别:
    Standard Grant
Characterization and Real Time Defect Mitigation in Chemical/Mechanical Polishing of Microelectronic Wafers Using Decision Theory and MultiSensor Fusion
使用决策理论和多传感器融合对微电子晶圆化学/机械抛光进行表征和实时缺陷缓解
  • 批准号:
    1000978
  • 财政年份:
    2010
  • 资助金额:
    $ 3.7万
  • 项目类别:
    Standard Grant
SGER: Sequential Bayesian Decision Making for End-Point Detection and Control in Chemical Mechanical Planarization (CMP) Processes
SGER:化学机械平坦化 (CMP) 工艺中终点检测和控制的顺序贝叶斯决策
  • 批准号:
    0830023
  • 财政年份:
    2008
  • 资助金额:
    $ 3.7万
  • 项目类别:
    Standard Grant

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