4D seismic inversion designed for direct simulation model comparison

2009 ◽  
Author(s):  
Weisheng He ◽  
Colin MacBeth
Keyword(s):  
Simulation Model ◽  
Model Comparison ◽  
Seismic Inversion ◽  
Direct Simulation ◽  
4D Seismic

4D Seismic Inversion with Best Feasible Approximation

1999 ◽  
Author(s):  
M. Nickel ◽  
H. H. Veire ◽  
C. Signer ◽  
T. Soeter ◽  
P. O. Tennebø ◽  
...  
Keyword(s):  
Seismic Inversion ◽  
4D Seismic

Trace Warping vs. Impedance Warping in 4D Seismic Inversion

2015 ◽  
Author(s):  
L. Griffiths ◽  
T.D. Blanchard ◽  
J.A. Edgar ◽  
M.S. Shahraeeni
Keyword(s):  
Seismic Inversion ◽  
4D Seismic

Novel Direct Model for Machining Regenerative Chatter

2016 ◽  
Author(s):  
Aaron Lalley ◽  
Mark Bedillion
Keyword(s):  
Simulation Model ◽  
Machining Process ◽  
Direct Simulation ◽  
Regenerative Chatter ◽  
Stability Lobe ◽  
Direct Model ◽  
Machining Chatter ◽  
The Stability ◽  
Time Information ◽  
New Time

Regenerative machining chatter or resonance in the machining process has traditionally been modeled with the stability lobe approach. This paper presents a new time based direct simulation model and compares it with traditional stability lobe modeling. The direct model has the ability to discriminate directional and time information, resulting in a number of advantages over frequency-based stability lobe analysis.

scholarly journals Direct Simulation Model of Concentrated Particulate Flow in Pressure-Driven Dead-End Microfiltration

2010 ◽  
Vol 43 (10) ◽  
pp. 815-828 ◽  
Author(s):  
Tsutomu Ando ◽  
Kazuki Akamatsu ◽  
Masahiro Fujita ◽  
Shin-ichi Nakao
Keyword(s):  
Simulation Model ◽  
Particulate Flow ◽  
Direct Simulation ◽  
Dead End ◽  
Pressure Driven

scholarly journals Direct Simulation of the CoVid-19 epidemic

2021 ◽  
Author(s):  
Augusto Cabrera-Becerril ◽  
Pedro Miramontes ◽  
Raúl Peralta
Keyword(s):  
Simulation Model ◽  
Computational Models ◽  
Human Mobility ◽  
High Peak ◽  
Direct Simulation ◽  
Agent Based Model ◽  
Agent Based

AbstractWe introduce an agent-based model to simulate the epidemiological dynamics of COVID-19. Most computational models proposed to study this epidemic do no take into account human mobility. We present a direct simulation model where mobility plays a key role and propose as well four quarantine strategies. The results show that the no-quarantine strategy does lead to a high peak of contagions with no rebound. Quarantined strategies, for their part, show a re-emergence of the epidemic with smaller and softer peaks.

Intellectual analysis for testing of spacecraft onboard equipment

2019 ◽  
Author(s):  
О.С. Исаева ◽  
Л.Ф. Ноженкова ◽  
А.Ю. Колдырев
Keyword(s):  
Simulation Model ◽  
Knowledge Base ◽  
Model Comparison ◽  
Simulation Modelling ◽  
Logical Inference ◽  
First Case ◽  
Onboard System ◽  
The Given ◽  
Onboard Equipment

Показано применение прецедентов функционирования имитационной модели для анализа результатов испытаний бортовой аппаратуры космического аппарата. Прецеденты содержат различные сценарии передачи команд управления и соответствующие им варианты изменения параметров телеметрии бортовых систем космического аппарата. Сценарии описываются правилами базы знаний и моделируются процедурами логического вывода. Разработанные структуры данных и программное обеспечение позволяют выполнять имитационные эксперименты, сохранять результаты в базе прецедентов и сопоставлять их с результатами испытаний бортовых систем как в процессе выполнения испытательных процедур, так и ретроспективно. Применение результатов имитационного моделирования расширяет возможности испытательного программного обеспечения и способствует повышению качества конструкторских решений. This article represents a method for intellectual analysis of the results of testing spacecraft onboard equipment on the bases of the precedents of the simulation model. A simulation model is founded on a knowledge base describing different peculiar properties of the onboard equipment’s function, settings of the reception-transmission tract, scenarios of control commands’ transmission and corresponding changes of the parameters of onboard devices’ telemetry. We have designed data structures and software that allows conducting simulation experiments, save them in the precedent base and compare the results of the simulation modelling with the results of the onboard system’s testing. This analysis is carried out both during tests and after they are finished. In the first case, an onboard systems’ command is sent to the object of testing and to the simulation model. The model contains methods of logical inference that forms a conflict set of rules, choose and complete the applied actions simulating the functions of onboard equipment at reception and execution of the given commands. The results of modelling are represented in telemetry that is compared with the telemetry received from the objects of testing. A designer is given a list of parameters that were changed in the process of the logical inference and the telemetry parameters of the object of testing. In the other case, the telemetry of the onboard system obtained from the test storage results is compared with the precedents of the simulation model from the data base. Precedents contain examples of execution of big variety of commands and sets of the rules of the knowledge base that were completed for their acquisition. If telemetry parameters coincide, software allows a step-by-step review of the tests thus making a comparison with the actions of the simulation model. Comparison of the simulation model precedents with the results of testing allows revealing special features of the onboard equipment function that may remain unnoticed when other methods of analysis are utilized. Intellectual methods of logical output for analysis of tests extend the capabilities of test software and provide better quality of designer solutions.

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