M. Zhuravlev, Anastasiia Novikova, A. Cherkasova, Dmitry Shakhov, A. Kharkovsky, R. Belousov, Azamat Sadykov, Konstantin Anuchin, Grisha Avanesyan, Vadim Khafizov
{"title":"Practical Application of Integrated Simulation Technologies for Asset Development and Surface Facilities Design of Gas Fields","authors":"M. Zhuravlev, Anastasiia Novikova, A. Cherkasova, Dmitry Shakhov, A. Kharkovsky, R. Belousov, Azamat Sadykov, Konstantin Anuchin, Grisha Avanesyan, Vadim Khafizov","doi":"10.2118/206551-ms","DOIUrl":null,"url":null,"abstract":"\n The main goal of this paper is to describe the automation process for asset design solutions assessment in accordance with the expected production levels in dynamics. The integrated model contains embedded sub-models (various assessment elements, such as pipeline networks, compression facilities, gas treatment units, reservoir simulation models for production profiles simulation and an economic model to obtain an instant investment estimate).\n A continuous data flow between all the component models provides a quick assessment of different variables influence on the final efficiency of the integrated asset development option; this approach makes possible the rapid expansion of options range as well as the increase in analysis depth.\n We describe this approach on the example of the gas assets group development project, which includes the integration of following part of surface facilities: pipeline networks (gathering system) for well pads with the corresponding booster compressor stations and transport network to deliver well product to gas process unit. The work shows the recommendations about how to set up the optimal configuration of an integrated model (type and composition of sub-models, linking algorithms, data exchange directions, etc.) to solve various issues of long-term planning. In addition, we show the example of standardizing the process of managing the sub- models to provide the integrated model fast update when new production data arrives or when the surface facilities concept is changed and to make the approach transfer to other close projects easier.\n The novelty of the work lies in the creation of a unique approach to solve the issues of conceptual design by flexible configuration of an integrated model for specific tasks. This approach includes processing of production data different formats, the ability to connect an economic model to obtain the instant investment assessment of surface facilities option within comprehensive analysis. In addition, it includes the ability to connect detailed models of the gas-processing unit and booster compressor station with prospective economic efficiency assessment in accordance with the production profiles updates.\n The integrated model example and overall approach that we provide in this paer is unique due to the following factors:\n – \"flexibility\" of the model, which changes its appearance depending on the tasks. – prompt update of the economic indicators of the project. – clear accounting of transport and process facilities (use of detailed models for pipeline and processing systems (including booster compressor stations).","PeriodicalId":11177,"journal":{"name":"Day 4 Fri, October 15, 2021","volume":"56 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 4 Fri, October 15, 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/206551-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The main goal of this paper is to describe the automation process for asset design solutions assessment in accordance with the expected production levels in dynamics. The integrated model contains embedded sub-models (various assessment elements, such as pipeline networks, compression facilities, gas treatment units, reservoir simulation models for production profiles simulation and an economic model to obtain an instant investment estimate).
A continuous data flow between all the component models provides a quick assessment of different variables influence on the final efficiency of the integrated asset development option; this approach makes possible the rapid expansion of options range as well as the increase in analysis depth.
We describe this approach on the example of the gas assets group development project, which includes the integration of following part of surface facilities: pipeline networks (gathering system) for well pads with the corresponding booster compressor stations and transport network to deliver well product to gas process unit. The work shows the recommendations about how to set up the optimal configuration of an integrated model (type and composition of sub-models, linking algorithms, data exchange directions, etc.) to solve various issues of long-term planning. In addition, we show the example of standardizing the process of managing the sub- models to provide the integrated model fast update when new production data arrives or when the surface facilities concept is changed and to make the approach transfer to other close projects easier.
The novelty of the work lies in the creation of a unique approach to solve the issues of conceptual design by flexible configuration of an integrated model for specific tasks. This approach includes processing of production data different formats, the ability to connect an economic model to obtain the instant investment assessment of surface facilities option within comprehensive analysis. In addition, it includes the ability to connect detailed models of the gas-processing unit and booster compressor station with prospective economic efficiency assessment in accordance with the production profiles updates.
The integrated model example and overall approach that we provide in this paer is unique due to the following factors:
– "flexibility" of the model, which changes its appearance depending on the tasks. – prompt update of the economic indicators of the project. – clear accounting of transport and process facilities (use of detailed models for pipeline and processing systems (including booster compressor stations).