The quality of in-line diagnostics is confirmed by the accuracy of defects detected on the pipeline. The reliability of information presented in technical reports is ensured by additional defectoscopic inspection (ADC).
ADC is a reliable quality criterion for in-line diagnostics.
Advantages
The ADC is required for:
Validation checks:
ADC eliminates possible errors during diagnostics, ensuring the accuracy of pipeline condition data.
Safety confirmations
The use of flaw detection helps to identify in more detail hidden damages and defects that can affect the operational safety of the system.
Determining the extent of damage:
ADC provides a more accurate assessment of the size and nature of the defect, which is important for deciding whether to proceed with repair or replacement of a section of pipeline.
Reducing the risks of accidents:
Detailed monitoring helps to identify potential hazards in advance and minimize the probability of accidents, reducing operational risks.
Why it's important
Increased diagnostic accuracy:
With ADC, the customer receives detailed and verified information about the condition of the pipeline, allowing them to make informed decisions.
Confidence in operational safety:
ADC ensures that all identified defects are correctly interpreted and corrected, minimizing the risk of accidents.
Cost optimization:
Performing additional inspections avoids unnecessary repairs or replacements by focusing only on areas that actually require intervention.
Reduced operational risks:
More accurate information is provided for work planning, reducing the likelihood of unexpected breakdowns and operational difficulties.
Why are we pros at this?
Experience and qualifications:
Our flaw detection engineers have documented qualifications and many years of experience with pipelines of various types and complexity.
State-of-the-art equipment:
We use only high-precision, certified instruments, which allows us to perform defectoscopy at the highest level.
Flexibility and efficiency:
We are ready to promptly go to the site at the first request of the client and perform inspection at any time, guaranteeing a quick response and fulfillment of work within the contract.
The main stages of conducting a DDC:
1
Inspection Preparation:
Evaluation of preliminary data: Based on the results of initial diagnostics (e.g., using calibration pigs or other tools), engineers analyze the locations where defects or anomalies are identified and identify areas that require further inspection.
Equipment selection: Depending on the nature of the pipeline and the type of defects, appropriate equipment (ultrasonic flaw detectors, magnetic flaw detectors, radiographic equipment, etc.) is selected.
2
Carrying out flaw detection:
Depth gauge: It is used to determine the depth of external corrosion and other metal loss defects. The depth gauge can also be used to evaluate the edge displacement of the annular weld.
Ultrasonic Testing (UT): Used to inspect the internal structure of the pipe in more detail, to detect cracks and other internal micro-defects. Ultrasonic waves are sent to a section of pipe and transducers detect their reflection from defective areas.
Magnetic Powder Inspection: It is used to detect cracks, defects on the surface of pipelines. This method is particularly effective for inspecting welds and joints.
X-ray examination (X-ray): Used to detect hidden defects such as voids, internal cracks and other anomalies that cannot be detected by other methods.
3
Data recording and analysis:
All data obtained during the flaw detection inspection are recorded in the DDC report and analyzed to obtain accurate defect characteristics (size, depth, location).
4
Evaluation of detected defects:
Based on the defectoscopy results, the nature and severity of the defects are determined. Each defect is categorized by type (crack, corrosion, constriction, etc.), size and effect on the strength of the pipeline.
An important stage is to determine the residual strength of the pipeline section and the possibility of its further operation taking into account the identified defect parameters.