Real-Time Decision-making for Value Creation while Drilling

2003 ◽  
Author(s):  
L. Saputelli ◽  
M. Economides ◽  
M. Nikolaou ◽  
V. Kelessidis
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Value Creation

scholarly journals DIGITAL OIL FIELD FROM DATA TO REAL - TIME DECISION MAKING -SMART WORKING FOR OPERATIONS EFFICIENCY

2021 ◽  
Vol 2(73) (1) ◽  
pp. 5-15
Author(s):  
Mohammad Rostami Dehka ◽  
Iulian Nistor
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Value Creation ◽  
Oil Field ◽  
Data Availability ◽  
Large Area ◽  
Operations And Maintenance ◽  
Reliable Performance ◽  
Smart Working ◽  
The Right

Digital Oil Field (DOF) project in OMV Petrom aims to remotely monitor, troubleshoot and optimize operations and maintenance data and activities in a modern manner, and to foster value creation through increased integrated and reliable performance data availability to skilled professionals in order to facilitate the right decisions. DOF Project started as a pilot in an oil field, covering a large area of automated wells and facilities. The pilot field is operating around 400 wells equipped with PCP (progressive cavity pump) and more than 70% automated facilities consisting of: 14 MPSs (Meter Point Skids), 2 PMANs (Production Manifolds) and 1 OMS (Oil Metering Station), all connected to SCADA systems.

A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

2018 ◽  
Vol 6 (6) ◽  
pp. 98
Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Manufacturing Industry ◽  
Simulation Software ◽  
Shop Floor ◽  
Simulation Tool ◽  
Routing Flexibility ◽  
Decision System ◽  
Multi Objective ◽  
Arena Simulation

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

scholarly journals BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13849-13850
Author(s):  
Donghyeon Lee ◽  
Man-Je Kim ◽  
Chang Wook Ahn
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Real Time ◽  
Large Scale ◽  
Outcome Predictor ◽  
Short Term ◽  
Rts Game

In a real-time strategy (RTS) game, StarCraft II, players need to know the consequences before making a decision in combat. We propose a combat outcome predictor which utilizes terrain information as well as squad information. For training the model, we generated a StarCraft II combat dataset by simulating diverse and large-scale combat situations. The overall accuracy of our model was 89.7%. Our predictor can be integrated into the artificial intelligence agent for RTS games as a short-term decision-making module.

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