Creaform announced its latest release of Pipecheck 3.3, an NDT pipeline integrity assessment solution on the market today. It is a comprehensive, easy-to-use tool that enables NDT service companies and pipeline operators to strike the ideal balance between the need to fulfill mounting demands for energy and guaranteeing the public’s safety.

Pipecheck puts high-performance, highly accurate assessments into the hands of users in order to quickly detect and characterize pipe defects (internal and external), such as corrosion and mechanical damage. Thanks to its reliable, traceable results and code compliance (ASME B31G/ASME B31.8), Pipecheck automatically provides critical inspection data to determine the level of integrity and remaining service life of an operator’s most valuable assets.

Creaform gathered all the requests from our pipeline operator clients and developed new Pipecheck features that address the challenges they face on a daily basis. The enhancements in the latest version include:

  • New method for dent size calculations: More precise dent calculations that replicate repeatable and user-independent on-field measurements more accurately will enable users to better evaluate mechanical damage.
  • Strain-based assessments 2.0: This new approach introduces advanced strain calculations, according to ASME B31.8, along the pipe as well as visualization tools for strain-based assessments. Users will be able to more efficiently interpret results, thereby facilitating decision making with respect to the repair actions to take.
  • New feature for corrosion classifications: Based on standards issued from the Pipeline Operators Forum, Pipecheck now further characterizes the type of corrosions on a pipeline, such as pitting, generalized corrosion, axial and circumferential grooving, and more.
  • Automatic anomaly vs cluster classifications: Pipecheck can now automatically distinguish and identify clusters from anomalies, thereby helping operators pinpoint critical issues on a pipeline. This feature also helps to evaluate the performance of a pig as it detects anomalies and clusters. This in turn optimizes where priority excavations must be performed.