A Domain-Specific Modeling for monitoring Operations in a Digital Oil Field.
Author(s):
Julius Wosowei, Chandrasekar Shastry
Keywords:
Pipeline Engineering, Domain-Specific Modelling (DSM), Domain-Specific Language (DSL), Smart Field, Integrated Data Gathering, Real-time Operation Center (RTOC).
Abstract
The research focuses on data gathering in a typical oil and gas Smart field/Digital Oilfield and related experts in the oil and gas industry whose primary line of business is tied to the field of pipeline mechanisms. The software is domain-specific i.e., specific to Smart Field Oil and Gas Flow Station Operations. The software is a language similar to any programming language where in this case code generation and optimization and crude syntactic bottlenecks will not be necessary rather, interpretation through a parser (Translation Engine) will enable any stakeholder in the domain to easily manipulate data in the Smart Field without being encumbered with high technology acquisition to get the desired job done on the Smart Field.). The functional components will be interacting with the smart field specifications for operation and control through user input which also represents the key performance Indicators (KPI). The information can be viewed on several large screens with interactive multi-touch desktops and portable devices showing the entire operation from sub-surface (Reservoir) and surface (Wells and Facilities) captured in real-time and displayed in trends. The monitoring of the development is an observation system designed to achieve a continuous operation and to get the maximum performance of the remote production center. The system helps in monitoring & controlling numerous parameters: Pressure, Static pressure, differential pressure, temperature, liquid level, flow rate, and others. A graphical logical structure is suited to enable stakeholders to do inputs for relevant data gathering via the architecture with the functioning paths.
Article Details
Unique Paper ID: 154020

Publication Volume & Issue: Volume 8, Issue 9

Page(s): 495 - 502
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