scholarly journals A Digital Twin for Unconventional Reservoirs: A Multiscale Modeling and Algorithm to Investigate Complex Mechanisms

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Tao Zhang ◽  
Yiteng Li ◽  
Jianchao Cai ◽  
Qingbang Meng ◽  
Shuyu Sun ◽  
...  
Keyword(s):  
Experimental Studies ◽  
Physical Space ◽  
Intelligent Manufacturing ◽  
Unconventional Reservoirs ◽  
Strong Nonlinearity ◽  
Flow And Transport ◽  
Digital Twin ◽  
High Data ◽  
Complex Mechanisms ◽  
Multiscale Algorithms

The special mechanisms underneath the flow and transport behaviors in unconventional reservoirs are still challenging an accurate and reliable production estimation. As an emerging approach in intelligent manufacturing, the concept of digital twin has attracted increasing attentions due to its capability of monitoring engineering processes based on modeling and simulation in digital space. The application potential is highly expected especially for problems with complex mechanisms and high data dimensions, because the utilized platform in the digital twin can be easily extended to cover more mechanisms and solve highly complicated problems with strong nonlinearity compared with experimental studies in physical space. In this paper, a digital twin is designed to numerically model the representative mechanisms that affect the production unconventional reservoirs, such as capillarity, dynamic sorption, and injection salinity, and it incorporates multiscale algorithms to simulate and illustrate the effect of these mechanisms on flow and transport phenomena. The preservation of physical laws among different scales is always the first priority, and simulation results are analyzed to verify the robustness of proposed multiscale algorithms.

Exneriana – II – The Scientific Legacy of John E. Exner, Jr. 1Part of this paper was presented at the XIXth International Congress of Rorschach and Projective Methods, July 22–26, 2008, Louvain, Belgium.

2008 ◽  
Vol 29 (2) ◽  
pp. 81-107 ◽  
Author(s):  
Anne Andronikof
Keyword(s):  
Clinical Studies ◽  
Experimental Studies ◽  
Scientific Work ◽  
International Congress ◽  
Response Process ◽  
Scientific Legacy ◽  
Projective Test ◽  
Projective Methods ◽  
Comprehensive Picture ◽  
Complex Mechanisms

Based on an analysis of John Exner’s peer-reviewed published work from 1959 to 2007, plus a brief comment for an editorial in Rorschachiana, the author draws a comprehensive picture of the scientific work of this outstanding personality. The article is divided into three sections: (1) the experimental studies on the Rorschach, (2) the clinical studies using the Rorschach, and (3) Exner’s “testament,” which we draw from the last paper he saw published before his death (Exner, 2001/2002). The experimental studies were aimed at better understanding the nature of the test, in particular the respective roles of perception and projection in the response process. These fundamental studies led to a deeper understanding of the complex mechanisms involved in the Rorschach responses and introduced some hypotheses about the intentions of the author of the test. The latter were subsequently confirmed by the preparatory sketches and documents of Hermann Rorschach, which today can be seen at the H. Rorschach Archives and Museum in Bern (Switzerland). Exner’s research has evidenced the notion that the Rorschach is a perceptive-cognitive-projective test.

Digital twin-driven complexity management in intelligent manufacturing

Digital Twin ◽  
2021 ◽  
Vol 1 ◽  
pp. 9
Author(s):  
Yuchen Wang ◽  
Xingzhi Wang ◽  
Fei Tao ◽  
Ang Liu
Keyword(s):  
Intelligent Manufacturing ◽  
Production Lines ◽  
Human Machine Interaction ◽  
Digital Twin ◽  
Complexity Management ◽  
Manufacturing Complexity ◽  
Design Production ◽  
Data Collections ◽  
Machine Interaction

Complexity management is one of the most crucial and challenging issues in manufacturing. As an emerging technology, digital twin provides an innovative approach to manage complexity in a more autonomous, analytical and comprehensive manner. This paper proposes an innovative framework of digital twin-driven complexity management in intelligent manufacturing. The framework will cover three sources of manufacturing complexity, including product design, production lines and supply chains. Digital twin provides three services to manage complexity: (1) real-time monitors and data collections; (2) identifications, diagnoses and predictions of manufacturing complexity; (3) fortification of human-machine interaction. A case study of airplane manufacturing is presented to illustrate the proposed framework.

scholarly journals A Referenced Cyber Physical System for Compressor Manufacturing

2020 ◽  
Vol 306 ◽  
pp. 02005
Author(s):  
Jin Cao ◽  
Junliang Wang ◽  
Junqing Lu
Keyword(s):  
System Architecture ◽  
Manufacturing System ◽  
Physical Space ◽  
Virtual Space ◽  
Multidimensional Model ◽  
Digital Twin ◽  
Twin Model ◽  
Industrial Internet ◽  
Internet Platform ◽  
Model Layer

Compressor is a typical high-end discrete product，with the shortening of product life cycle and the enhancement of the degree of product customization, the traditional compressor manufacturing system architecture cannot meet the requirements of comprehensive digital management of compressor from body scheme design to parts production line, logistics management, operation and maintenance monitoring and evaluation. This paper presents a compressor manufacturing system architecture based on digital twinning, and establishes an Internet platform for compressor industry oriented to remote coordination from three aspects of compressor design, production, operation and maintenance. The platform includes industrial Internet infrastructure layer, physical space entity model layer, virtual space multidimensional model layer, physical space and virtual space multidimensional model correlation and mapping layer, big data intelligent analysis decision-making layer, and digital twin application layer. Through the establishment of the compressor product design and simulation model of digital twin, compressor production process digital twin model, compressor fault diagnosis and remote operations digital twin model, implementation is based on the number of compressor collaboration in manufacturing industrial Internet platform twin system, leading the transformation and upgrading of intelligent manufacturing industry, compressor industry sustainable development ability and international competitiveness.

scholarly journals Flow and Transport in Tight and Shale Formations: A Review

Geofluids ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-21 ◽  
Author(s):  
Amgad Salama ◽  
Mohamed F. El Amin ◽  
Kundan Kumar ◽  
Shuyu Sun
Keyword(s):  
Oil And Gas ◽  
Transport Phenomena ◽  
Network Models ◽  
Environmental Aspects ◽  
Governing Equations ◽  
Length Scales ◽  
Shale Formations ◽  
Flow And Transport ◽  
Multiscale Algorithms ◽  
Macroscopic Parameters

A review on the recent advances of the flow and transport phenomena in tight and shale formations is presented in this work. Exploration of oil and gas in resources that were once considered inaccessible opened the door to highlight interesting phenomena that require attention and understanding. The length scales associated with transport phenomena in tight and shale formations are rich. From nanoscale phenomena to field-scale applications, a unified frame that is able to encounter the varieties of phenomena associated with each scale may not be possible. Each scale has its own tools and limitations that may not, probably, be suitable at other scales. Multiscale algorithms that effectively couple simulations among various scales of porous media are therefore important. In this article, a review of the different length scales and the tools associated with each scale is introduced. Highlights on the different phenomena pertinent to each scale are summarized. Furthermore, the governing equations describing flow and transport phenomena at different scales are investigated. In addition, methods to solve these equations using numerical techniques are introduced. Cross-scale analysis and derivation of linear and nonlinear Darcy’s scale laws from pore-scale governing equations are described. Phenomena occurring at molecular scales and their thermodynamics are discussed. Flow slippage at the nanosize pores and its upscaling to Darcy’s scale are highlighted. Pore network models are discussed as a viable tool to estimate macroscopic parameters that are otherwise difficult to measure. Then, the environmental aspects associated with the different technologies used in stimulating the gas stored in tight and shale formations are briefly discussed.

scholarly journals A DTMEs-Based Digital Twin System Construction Method For Smart Factory

2021 ◽  
Author(s):  
Luyao Xia ◽  
Lu Jianfeng ◽  
Hao Zhang ◽  
Mengying Xu ◽  
Zhaojia Li ◽  
...  
Keyword(s):  
Hydraulic Cylinder ◽  
Intelligent Manufacturing ◽  
Construction Method ◽  
Smart Factory ◽  
Smart Manufacturing ◽  
Digital Twin ◽  
Twin System ◽  
Work In Process ◽  
Single Field ◽  
Short Time

Abstract Many enterprises have built their own digital twin factory model for physical factory planning, simulation optimization and real-time monitoring. However, the digital twin system, which has a single field, a short time cycle and unsinkable service, cannot fully reflect the interaction and integration of the physical and information world required by intelligent manufacturing. Therefore, the research on the construction method of the smart factory digital twin system with cross-domain and multi-model has an important influence on the application of smart manufacturing. In view of the above problems, this paper proposes the concept and composition of digital twin manufacturing ecosystem (DTMEs) based on the requirements and characteristics of product lifecycle, and analyzes the construction requirements of DTMEs for factory digital twin system, product digital twin system and supply chain digital twin system from the perspective of lifecycle. Finally, the smart factory digital twin system architecture is applied to the digital and intelligent upgrading of the hydraulic cylinder factory. The experimental results show that the intelligent improvement of the hydraulic factory, the reduction of Work-in-process inventory and the advance of delivery time, and prove the feasibility and effectiveness of the smart factory digital twin system.

scholarly journals A Study on Intelligent Manufacturing Industrial Internet for Injection Molding Industry Based on Digital Twin

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Zhiyong Wang ◽  
Wei Feng ◽  
Junlin Ye ◽  
Jinbiao Yang ◽  
Chun Liu
Keyword(s):  
Injection Molding ◽  
Production Management ◽  
Production Efficiency ◽  
Intelligent Manufacturing ◽  
Management Control ◽  
Smart Factory ◽  
Digital Twin ◽  
Intelligent Control System ◽  
Twin System ◽  
Industrial Internet

As one of the basic manufacturing industries in China, injection molding industry is faced with the problems of low degree of informatization and intelligence, resulting in low production efficiency and high costs. It is urgent to integrate deeply with new generation of information technology to achieve transformation and upgrade. In this paper, an integrative industrial Internet architecture of “integration of intelligent equipment, intelligent production lines, intelligent workshops, intelligent factories, and intelligent formats” was described. The injection molding intelligent control system, the production management, control platform based on the MES system, and other key technologies were researched. Also, the smart factory architecture based on digital twin was established, and the implementation method of the smart factory digital twin system was elaborated. The feasibility and effectiveness of the method had been verified through the industrial application, which provided the technical supports for the injection molding industrial Internet system. Finally, the intelligent manufacturing industrial Internet cloud platform for injection molding industry was prospected.

scholarly journals A Wire Rod Rolling Mill Digital Twin for the Simulation of the Rolls Replacement Process

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 13
Author(s):  
Ana María Valdeón Junquera ◽  
Javier García González ◽  
Joaquín Manuel Villanueva Balsera ◽  
Vicente Rodríguez Montequín
Keyword(s):  
Rolling Mill ◽  
Intelligent Manufacturing ◽  
Smart Manufacturing ◽  
Production Lines ◽  
Human Decision Process ◽  
Digital Twin ◽  
Wire Rod ◽  
Replacement Process ◽  
Human Decision ◽  
Rod Rolling

Smart Manufacturing is a goal to be achieved, and the most advanced manufacturing approaches are being used to pursue this objective. Within this context, industry development aims to attain an intelligent manufacturing using, for example, virtual models that simulate production lines. This paper presents the architecture of a Digital Twin for emulating the rolls replacement process within a wire rod rolling mill. The model is developed in Python, using a backtracking algorithm to select the suitable set of rolls as a first basic approach for the validation of the system. It may be used in the future to improve the production system automating the decision for the replacement of rolls as alternative to the current human-decision process.

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