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PipePredictor.comSM, an operating system and platform-independent computer program, is a novel ultra-precise non-approximative mathematical tool allowing pipeline engineers to accurately predict the geometry, stress and fatigue of any arrangement of offshore single or multiple pipelines installed from any floating construction or production facility in any water depth. Thanks to its uncompromising accuracy (664 bit number handling), PipePredictor.comSM will yield results departing substantially from those obtained through generally accepted finite element analysis programs, especially around the pipeline's TDP (Touch Down Point), with sizeable consequences as regards fatigue at TDP. Because of PipePredictor.comSM's inherently superior accuracy, users can avoid overdesign with unnecessary cost and underdesign with expensive failures. PipePredictor.comSM's operational sequence is simple and straightforward: 1. Subscriber posts
his particular pipeline or catenary riser data and requirements in the web
site's intuitive Internet browser forms Pipeline engineers can request and analyze the very complex calculation from any email capable intermediate performance field terminal despite the large computational requirements. There is no need to install any program on an upgraded top of the line workstation, all operations are done remotely. The only requirements are access to email, an Internet browser and a spreadsheet program to read the results. Full results are collected by the subscriber within minutes of opening this page, even without any former experience with the program, thus saving considerable time both on the computation and learning curve accounts. Call or click
to subscribe or for any question, then just come back to
this page, click the GO TO DATA INPUT PAGE button below, fill in the forms
and press a button: within minutes a complete graphical synthesis file not
larger than a few hundreds of kB will automatically be e-mailed to you in
the readily exploitable xls format, showing both Static and Dynamic
Analysis as well as a prediction for Accidental Flooding. | |
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