Corrosion Management Software

SMARTCORR^® corrosion management software is a highly integrated and intelligent system. It covers multiple monitoring process parameters, such as process flow, pressure, temperature, the temperature in the cabinet, corrosion data, alarm, temperature, etc.

Monitoring the corrosion is undertaken by a combination of the following methods:

• Electrical Resistance (ER) probes
• Weight Loss Coupons
• UT Wall Thickness Measurement
• Chemical sampling and analysis
• Cathodic Protection

All the above methods give a direct or indirect indication of the condition of the process equipment and the corrosivity of the contained medium. The data and outcome or results of the different monitoring activities are to be combined in the software and analyzed according to users’ needs.

As an example, SMARTCORR^® On-line Corrosion Probe System Consists of Access Fitting, Adapter, Transmitter, Cable, Junction Box, Intelligent Unit, Corrosion Management server and SCEMS software. The probe data is achieved in a user-defined interval and stored in SCEMS. The user can monitor the corrosion data in real time and make corresponding analysis by the SCEMS software.

SCEMS Features

SMARTCORR® Corrosion and Erosion Management System (SCEMS)

This section is a description of the SMARTCORR^® Corrosion and Erosion Management System (SCEMS) and the most common components within SCEMS. This also explains general techniques on how to effectively manage all your data and streamline the processes and information that are vital to your asset’s reliability, efficiency, and profitability.

SCEMS can apply widely across the board in many different industries, such as Utilities, Communication, Field Service, and the Retail sector.

• Single User Desktop
• On Server

1. Creating and Configuring a New Database

2. Data Entry

The Coupon Corrosion Calculator performs the task of calculating corrosion rates based on several parameters of an exposed coupon. This value is calculated automatically when all the necessary parameters have been entered, and the calculated value is then stored to the database.

Input Parameters:

• Coupon Dimensions: Enter the area of the coupon being used and the density of the material from which the coupon is made.
• Weight Loss: Enter the weight loss directly or the start and end weight. With the latter case, the Weight Loss field will be filled out automatically when both values have been entered.
• Exposure Time: Enter the exposure time or the start date and the end date. In the latter case, the Exposure Time field will be filled out automatically when both dates have been entered.
• Calculated Corrosion Rate: The Corrosion Rate field will be filled out automatically when all required fields have been completed. The Time tag field must be filled out before the data can be stored to the database. The corrosion rate can be displayed in either mm/y or MPY by selecting the appropriate radio button

3. Report Packages

SCEMS Reports are powered by Crystal Reports. The format of these reports allows them to be exported to Word, RTF, HTML or PDF. Points can either be sent to a report by highlighting a system, container or point in the Plant layout, or by selecting a group of points in the Selection Tool.

4. Data Analysis Using Graphs

Corrosion Prediction Tool

CO2 and H2S corrosion (termed “acid gas corrosion”) in oil and gas production environments are key contributors to asset degradation and failure. Accurate quantification of corrosion and erosion is critical in order to enable improved assurance of the safe utilization of steels across almost every production unit in oil and gas production and transmission.

Corrosion risk prediction is a module in SCEMS, which takes an integrated, comprehensive perspective to intelligently assess system corrosivity. SCEMS also facilitates prediction of corrosion and erosion rates for carbon steels in production/transmission environments containing CO2 and/or H2S. Based on decades of joint Industry Program research and industry utilization data, Predict captures the effects of key critical environmental and operating parameters that influence corrosivity. It further characterizes the effects of these parameters on corrosion rates, utilizing extensive laboratory data, phase behavior models and fluid dynamic characterization.

This corrosion module provides a practical prediction of system corrosivity for carbon steel based on available operational parameters such as:

• Application or process data (e.g, pressure, temperature, gas oil and water flow rates)
• Speciation data (e.g, acid gas concentration and water analyses)
• Project data (e.g., service life, corrosion allowance, well or stream information)

Once the input data is entered, there are usually three ways to output the forecast data:

1. Corrosion rate prediction (expressed in mpy or mmpy)
2. Risk of failure prediction
3. pH value prediction

The prediction accuracy depends on the accuracy of the input process data, speciation data and project data, etc. A report is to be generated accordingly.