Authors | ; ; |
Data Type(s) | REU |
Natural Hazard Type(s) | Other |
Date of Publication | 2021-08-23 |
Facilities | |
Keywords | Deep-sea pipeline; Pipeline walking; Interface frictional resistance; Jupyter Notebooks; Data calibration |
DOI | 10.17603/ds2-4a4k-xv35 |
License | Open Data Commons Attribution |
For this research project, a pipe model was simulated in a laboratory to test the effect of cyclic loading on the axial resistance between a pipe and a clay from the Gulf of Mexico. By better understanding this frictional resistance, engineers can find ways to mitigate pipeline walking, a phenomenon that causes disturbances to pipe flowlines.The data for the cyclic load tests was processed using Python to access the data more efficiently and to use it for plotting and calculations. The tests for all four series were stored in a table where each individual series could be processed and displayed. A plot was then created for the second series of the second test to demonstrate the usage of the data in Python. The code created in this research project provided a framework to be utilized for different purposes to plot and efficiently access the abundance of data. The framework code created for this research project can be further expanded and used to answer bigger conceptual research questions.