scholarly journals FROM REQUIREMENTS TO PROTOTYPING: APPLICATION OF HUMAN-SYSTEM INTEGRATION METHODOLOGY TO DIGITAL TWIN DESIGN

2021 ◽  
Vol 1 ◽  
pp. 1617-1626
Author(s):  
Stélian Camara Dit Pinto ◽  
Dimitri Masson ◽  
Eric Villeneuve ◽  
Guy Boy ◽  
Laetitia Urfels
Keyword(s):  
System Integration ◽  
Oil And Gas ◽  
Function Analysis ◽  
Human Perception ◽  
Oil And Gas Industry ◽  
Twin Design ◽  
Gas Industry ◽  
Human System ◽  
Digital Twin ◽  
New Process

AbstractIndustrial digital transformation is bringing a need for new tools and concepts. However, designing such complex tools and concept requires methods to be correctly implemented. These methods are studied as part of system engineering to satisfy various identified goals, and more specifically human-system integration, which is the topic of this paper. This article introduces the method used to define key elements of human perception of reality called reality anchors to design scenarios to be tested in a digital twin prototype. This method goes from regulation study to user cognitive function analysis on the specific case of digital twin designing in oil-and-gas industry. This method highlighted the differences between theoretical process and the followed process as well as tools and competencies used to identify reality anchors. This knowledge will then be used to implement a new process to be implemented with a digital twin and scenarios to test the prototype using realistic simulation.

scholarly journals Digital Twin for the Oil and Gas Industry: Overview, Research Trends, Opportunities, and Challenges

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 104175-104197 ◽  
Author(s):  
Thumeera R. Wanasinghe ◽  
Leah Wroblewski ◽  
Bui K. Petersen ◽  
Raymond G. Gosine ◽  
Lesley Anne James ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Research Trends ◽  
Gas Industry ◽  
Digital Twin

scholarly journals REVIEW OF MODERN SOFTWARE COMPLEXES AND DIGITAL TWIN CONCEPT FOR FORECASTING EMERGENCY SITUATIONS IN OIL AND GAS INDUSTRY

2020 ◽  
pp. 71
Author(s):  
Karina N. Abdrakhmanova ◽  
Artem V. Fedosov ◽  
Karina R. Idrisova ◽  
Ilida R. Danieva ◽  
Regina R. Valeeva
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Digital Twin ◽  
Emergency Situations

scholarly journals Application of a digital twin in the oil and gas industry

2020 ◽  
Author(s):  
V.N. Bykova ◽  
E. Kim ◽  
M.R. Gadzhialiev ◽  
V.O. Musienko ◽  
A.O. Orudzhev ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Digital Twin

Automated Creation of the Pipeline Digital Twin During Construction: Improvement to Construction Quality and Pipeline Integrity

2018 ◽  
Author(s):  
Joseph Hlady ◽  
Matt Glanzer ◽  
Lance Fugate
Keyword(s):  
Life Cycle ◽  
Net Present Value ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Life Cycle Management ◽  
Field Trials ◽  
Gas Industry ◽  
Digital Twin ◽  
Sensor Platforms ◽  
Digital Formats

The concept of the digital twin dates all the way back to the 1950’s when NASA, GE and other industrial manufacturers started creating abstract digital models of equipment to model their performance in simulations and maintain a record of the asset throughout its life span [1]. Over the years more and more industries have adopted the digital twin paradigm to improve traceability, maintenance, and analytics allowing for improved sustainment of the asset or equipment while reducing various risks identified during life cycle management. It has been found that collectively, the digital twin concept improves the overall net present value of an asset. The oil and gas industry has slowly been adopting the digital twin paradigm of asset life cycle management over the past two decades with the focus on facilities. Recently, field trials were completed to test and evaluate workflows and sensor platforms for the creation of a digital twin for pipelines. The trials resulted in highly accurate pipeline centerlines, weld locations, Depth to Cover (DoC) and ditch geometry capture in digital formats. This paper describes the methodologies used, and the results of an actual construction field trial with a comparison to traditional data collection methods for these attributes. The value of creating a pipeline digital twin during pipeline construction in near-real-time is discussed with an emphasis on the potential benefits to life cycle management and pipeline integrity.

Probabilistic Digital Twins for Transmission Pipelines

2020 ◽  
Author(s):  
Francois Ayello ◽  
Guanlan Liu ◽  
Yonghe Yang ◽  
Ning Cui
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Third Party ◽  
Weather Data ◽  
Data Sets ◽  
Worst Case ◽  
Gas Industry ◽  
Digital Twin ◽  
Digital Twins ◽  
Threat Modelling

Abstract Digitalization in the oil and gas industry has led to the formation of digital twins. Digital twins bring closer the physical and virtual world as data is transmitted seamlessly between real time sensors, databases and models. The strength of the digital twin concept is the interconnectivity of data and models. Any model can use any combination of inputs (e.g. operator owned data sets and sensors, third-party databases such as soil composition or weather data, results from other models such as flow assurance, threat modelling or risk modelling). Consequently, the result of one model may become the input of another. This strength is also a weakness, as uncertain (or missing data) will lead to a great source of uncertainty and may lead to wrong results. Worst case scenarios have been used to solve this issue without success. This paper presents a new concept: probabilistic digital twins for pipelines. Probabilistic digital twins do not lose uncertainty as results pass from one model to another, thus providing greater confidence in the final results. This publication reviews the probabilistic digital twin concept and demonstrates how it can be implemented using gas pipeline data from West Pipeline Company, CNPC.

Deployment of Digital NDT Solutions in the Oil and Gas Industry

2020 ◽  
Vol 78 (7) ◽  
pp. 861-868
Author(s):  
Casper Wassink ◽  
Marc Grenier ◽  
Oliver Roy ◽  
Neil Pearson
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry

What Does Rent Give to Federal Budget (on the Russia's Budget Dependence upon "Oil Dollars")

2004 ◽  
pp. 51-69 ◽  
Author(s):  
E. Sharipova ◽  
I. Tcherkashin
Keyword(s):  
Oil And Gas ◽  
Strong Dependence ◽  
Oil Prices ◽  
Federal Budget ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Resource Rent ◽  
Tax Legislation ◽  
Russian Economy ◽  
The Government

Federal tax revenues from the main sectors of the Russian economy after the 1998 crisis are examined in the article. Authors present the structure of revenues from these sectors by main taxes for 1999-2003 and prospects for 2004. Emphasis is given to an increasing dependence of budget on revenues from oil and gas industries. The share of proceeds from these sectors has reached 1/3 of total federal revenues. To explain this fact world oil prices dynamics and changes in tax legislation in Russia are considered. Empirical results show strong dependence of budget revenues on oil prices. The analysis of changes in tax legislation in oil and gas industry shows that the government has managed to redistribute resource rent in favor of the state.

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