Hierarchy of Integrated Models of Varying Detail to Solve Problems at Different Stages of Gas Condensate Projects Development

2021 ◽  
Author(s):  
Artem Igorevich Varavva ◽  
Renat Timergaleevich Apasov ◽  
Ruslan Rustamovich Badgutdinov ◽  
Ayrat Flyurovich Yamaletdinov ◽  
Fedor Andreevich Koryakin ◽  
...  

Abstract This study makes an attempt to generalize the integrated modeling tools used by the authors in practice on the basis of the following criteria: the volume of the initial data, the integration mechanism, constraints and assumptions. Various types of integrated models are compared with each other, the need for their application is analyzed, they are connected at various stages of the project development and by the tasks solved at this stage. It also describes the challenges that the authors encountered when working with integrated models of various levels of detail, approaches to their solution, and the lessons learned.

2021 ◽  
pp. 111-126
Author(s):  
A. A. Agarkova ◽  
S. E. Shebankin ◽  
M. A. Tukaev ◽  
M. S. Karmazin

The usual method for constructing a digital model of a field is based on hydrodynamic modeling using the basic implementation of a geological model, usually requires additional adjustments to the initial data, and as a result, leads to a wide range of uncertainties in assessing the predicted technological indicators of field development. The PK1 reservoir of a gas condensate field case study discuss-es the method of iterative modeling, which makes it possible to comprehensively approach the assessment of possible uncertainties.


2004 ◽  
Author(s):  
George Z. Angeli ◽  
Anna Segurson ◽  
Robert Upton ◽  
Brooke Gregory ◽  
Myung Cho

2015 ◽  
Author(s):  
D. V. Efimov ◽  
K. E. Shlychkov ◽  
P. V. Vinogradov ◽  
E. I. Sergeev ◽  
A. V. Zaynulin ◽  
...  

2006 ◽  
Vol 18 (supp) ◽  
pp. 5-20 ◽  
Author(s):  
Charles Collins ◽  
Camilla Harshbarger ◽  
Richard Sawyer ◽  
Myriam Hamdallah

Author(s):  
Farisoroosh Abrishamchian ◽  
Felix Oestersötebier ◽  
Ansgar Trächtler

The design of mechatronic products requires cooperation and coordination of the involved disciplines. To analyze the dynamic behavior of the product’s subsystems and their components, multiple dynamic behavior models (DBM) are developed in different levels of detail (modeling depths) and domains. However, in order to simulate the complex interactions and dependencies between them, models of the whole system are needed, which fit the varying modeling objectives and analysis goals. These comprehensive models are often extensive and the manual construction presupposes deep insight in the specific model approaches and modeling tools. Furthermore, consistency needs to be ensured. The paper describes a way to automatically configure simulation models of the system adopting a Software Product Line (SPL) approach. With the use of feature models, SPL approach provides a structured method for managing variability. The particular focus of this paper is on handling of components in different tools with more than one level of detail through deployment of feature modeling. Also, it presents the concept of a multifunctional model client (MMC), which facilitates integration of solution and system knowledge.


2012 ◽  
Vol 4 (2) ◽  
pp. 60-66
Author(s):  
Valerie Prilop ◽  
R. Niccole Westbrook ◽  
Elizabeth German

Creating workflows that involve the work of multiple departments within a large organization can be challenging, especially when the procedure itself is complex and involves a number of stakeholders. This paper describes and evaluates a collaborative project to develop an interdepartmental workflow for the digitization of unique library materials in a mid-sized academic library. The project includes an automated project management and materials tracking system. Project development involved three separate departments with different reporting channels. In order to navigate this difficulty and manage the large size of the project, a visual planning technique that included graphical representations of current and proposed workflows, as well as implementation timelines, was used. This visual planning technique allowed the project team to clearly organize their thoughts and plans and proved helpful in soliciting buy-in from stakeholders. The paper will outline the collaborative planning process, addressing the rewards and challenges of tackling such a project within a large organization, and present lessons learned for others attempting similar endeavors.


Water ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 49
Author(s):  
Carmen Hervás-Gámez ◽  
Fernando Delgado-Ramos

Droughts and water scarcity events are predicted to be more frequent and intense in the future, especially in Mediterranean countries. However, are the most recent drought management plans (DMPs) built on the latest technical, engineering, and scientific knowledge, as well as the learning experiences from managing historical droughts? The most significant challenge that surfaces, when a new drought event strikes, is the difficulty in predicting its duration (which can vary from months to years), the severity (or degree of affection to water resources), and the potential environmental, economic, and social impacts. Hence, there is an importance of integrating reliable forecasting and modeling tools in the development of modern DMPs, so the potential risk can be assessed under a range of possible drought scenarios. This will ensure that the proposed measures and actions of the DMP are sufficiently robust and proportionate to the drought and water scarcity situation. This paper provides a critical assessment of the core technical concepts and principles to be taken into consideration when developing the methodological and operational framework of a DMP. The case of study chosen is the Guadalquivir River Basin in southern Spain, which presents one of the most complex and paradigmatic cases in this regard. This region suffers recurrent episodes of drought and water scarcity, together with fierce competition among water users. Recently, a new strategic DMP has been approved and adopted in December 2018. The implications of applying the DMP in practice during the drought have been also evaluated. This study draws important lessons learned that could be applied in other areas suffering from water scarcity and droughts.


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