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Having SMADA in the cloud allows easy access to the system from anywhere at any time with a simple internet connection. Cost-effective high-availability IT infrastructure: providers like Amazon Web Services, Microsoft Azure, and Google Cloud Platform are making the migration to the cloud a no-brainer decision from the cost point of view.cloud-based solutions offer the following advantages: The SMADA concept is made possible by the technological advances in data communication, Internet access speed, Internet of Things (IoT), standardization of EFM data, The SMADA concept is fully realized when implemented in the cloud as an IoT ecosystem. API’s or other mechanisms to share output data with external systems like Enterprise Resource Planning (ERP).Tools for maintenance and calibration of EFM-related instrumentation and equipment.
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Built-in tools to perform volumetric balances of closed systems.Built-in algorithms to validate EFM data based on API best practices and recommendations.
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#Smada pare manual#
Alternative mechanisms for secure manual data entry when automatic data is not possible.User high-frequency data sampling in flow computers for accurate calculations.Focus on daily closing data snapshots (real-time data gathering is not critical).Automatic EFM data gathering directly from the source (flow computers, tanks, and laboratories).The SMADA focuses on EFM providing the following features: SCADA is left for what is design for: real-time process monitoring and process control. SMADA is designed to specifically attend the needs of the measurement groups within the pipeline or production company without having to rely on the SCADA system. As the acronym suggests, it provides Measurement data acquisition capabilities and integrated data analytics specifically for volumetric accounting. Technically, SMADA stands for Supervisory Measurement Acquisition and Data Analytics. Here’s where the concept of SMADA comes in. EFM accounting data is highly sensitive, and as such, the life-cycle of the data must be traceable and auditable, so the company can demonstrate transparency to their clients, auditors and investors. This process may lead to incorrect, tainted or unreliable data.įurthermore, the measurement specialists typically don’t have a reliable mechanism for validating the data generated by the Flow Computers delivered through the SCADA system, neither the company management has an easy way to consolidate all the data to obtain high-level KPI’s to truly understand the whole picture, track revenue or isolate unproductive systems.Īnother important downside of using SCADA and manual post-processing for EFM is the potential lack of traceability and auditability of the information. Therefore, in many cases, the data gathered by the SCADA system is either not sufficient or does not represent the true state of the flow measurement network as needed for invoicing.īecause of the SCADA shortfalls when it comes to EFM data, the groups responsible for the volumetric accounting must rely on auxiliary SCADA modules, 3rd party systems, spreadsheets and other forms of external post-processing of the SCADA data to obtain the ultimate EFM data needed for accounting. EFM data is very important to operating companies because it is the basis for invoicing the services provided to their clients. Such data is known as Electronic Flow Measurement (EFM). While SCADA systems gather field data in real time either by exception or periodically every few seconds or minutes specialized measuring systems on the field are sampling the same data (pressure, temp, flow), multiple times per second, and that data is actually the one required to perform volumetric calculations. In a pipeline or gathering system, the data acquired by SCADA may also include flow/volume measurement data from the flow computers providing real-time measurement as the fluids are injected into the system and extracted from it. It is also designed to allow the controllers to send commands to the field to execute some actions like opening and closing valves, starting and stopping pumps and many other control routines. in response to the demand for a more comprehensive solution for managing volumetric metering systems independent from SCADA.Ī typical SCADA system (Supervisory Control and Data Acquisition) is designed to acquire real-time or near real-time process data from the field and display it in some form of HMI to controllers in a control room. SMADA is a new concept, or rather a twist on the traditional SCADA concept, introduced by Tory Technologies, Inc. In this article, we explain what a SMADA system is in the context of the Oil & Gas industry.