As per the core diagram shown, the design process is as follows: Oil & Gas Extraction is under business process, Robotics and Automation is a technology which is used for interacting with digital systems and software, data reports are managed by Local and Government Agencies, Customer types are financial institutions and sale to end users which are highlighted as optional. In Core Process, the business process in Robotics and Automation technology is Oil & Gas production, oil Refinery, Exploration, distribution, and transportation. The other two technologies used are Artificial Intelligence and 3D modeling.
Oil and gas production, refinery, exploration, distribution, and transportation are the business processes in Robotics and Automation technology. Artificial intelligence and 3D modeling are the other two technologies employed.
Core Business Process: During the drilling process, the company must first plan the wells and then conduct the shallow gas survey. Following this, we will perform oil extraction, which involves transferring oil into petroleum refineries such as liquified petroleum gas or gasoline petrol, and then proceeding to oil analysis. Finally, oil is transported to gas stations and then to end users via the stations.
Shared data driving core process: The quality and quantity of oil extracted, charges for analysis of oil, number of vehicles using oil on daily basis, and transportation charges are also included in the shared data. The amount of oil sold to end users and at what price the oil has been sold when extracting the oil, and the estimated cost of machinery during oil extraction come under the shared data core process. Atlas Oil Company includes Predictive maintenance and production optimization in this operating model which introduces priority on Big Data technology and platforms due to the volume, variety, and velocity in which the data can be generated and collected throughout the process.
Key Linking and Automation Technologies: Oil and Gas automation often utilizes sensors based on the internet of things (IoT), and predictive and Self-learning systems to increase productivity, here Robotics system integration is also used in this technology. Expert systems use artificial intelligence and 3D modeling. Artificial intelligence helps oil & gas companies assess the value of specific reservoirs, customize drilling, and complete the plans according to the geology of the area. On a natural gas distribution platform, middleware can enable application environments that operate smoothly and reliably. Also, Petroleum refining and gas processing plants are some technologies used in automation.
Key customers: our key customers are local and government agencies because they frequently keep track of records, there are three streams upstream, middle stream and downstream. So, government agencies will act as middleware with the oil industries and local agencies.The key customers in delivering exceptional experiences are financial institutions and investment Advisors. Their connections and channels are the architecture’s ability to scale widely as the core business processes.