By Béla Lipták, PE, Columnist
In the previous article, I have described the fracking process and its safety concerns. In the coming articles of this series, I will describe the automatic controls that can improve the safety of fracking, oilshale and pipelining processes. In this article, I will concentrate on pipelining safety and on how automation could have prevented such accidents as the rupturing of the ExxonMobil pipeline running under the Yellowstone River in Montana last summer.
According to the U.S. Department of Transportation Pipeline and Hazardous Materials Safety Administration, gas-transmission-line accidents increased 72% from the 1990s to the 2000s, and are still rising because the distribution network is old. Roughly 60% of gas-transmission lines in the United States were installed before 1970, and some date back to the Great Depression in the 1930s.
As we will see—like the Deepwater Horizon or Fukushima practices—the main cause of pipelining accidents is not the lack of availability of the sensors needed to detect unsafe conditions, nor is it the inability to know what needs to be done when unsafe conditions occur. No, it is the manual nature of all of these operations. In other words, the pipelining operations are also manually controlled, meaning that the detection of an unsafe condition does not shut down the pumping or compressor stations automatically (Figure 1).
The main concerns in pipelining safety are mechanical damage, construction flaws, cracking and corrosion of large pipelines. Stress corrosion cracking (SCC) and top-of-the-line corrosion (TLC), which is caused by droplets of condensed natural gas, are the most likely natural causes of accidents in gas pipelines. The progress of these forms of corrosion and the condition of oil and gas pipelines must be checked continuously through the use of in-line inspection (ILI) instruments. These instruments can test pipe thickness, roundness, check for corrosion, detect minute leaks and any other defects along the interior of the pipeline that may either impede the flow of oil or gas, or pose a potential safety risk to the operation.
Smart Pipeline Inspection Gauges (PIGs)
Smart PIGs are intelligent robotic devices that are propelled down pipelines by the flowing gas or liquid to evaluate the condition of the pipe's interior to find locations of rust, weak seams, coating, thinning walls, etc. They go where people can't, but controlling them can be challenging because most depend solely on the pressurized fluid in the pipe for propulsion, and it's very difficult to stop a PIG in specific locations. Most PIGs use magnetic flux leakage methods of inspection, but some also depend on ultrasound or the combination of the two to perform inspections. Figure 2 illustrates the magnetic flux leakage type design.
In this design, a strong magnetic field is established in the pipe wall using either magnets, or by injecting electrical current into the steel (the flux loop in Figure 2). Because the damaged areas of the pipe can't support as much magnetic flux as undamaged areas, the magnetic flux leaks out of the pipe wall at the damaged areas, thereby identifying their locations. An array of sensors is provided around the circumference of the PIG to detect the magnetic flux leaks and identify their locations.
PIGs can also operate with ultrasound sensors. These PIG designs are provided with an array of transducers that emit high-frequency sound pulses perpendicular to the pipe wall and receive echo signals from both the inner and outer surface of the pipe. The tool measures the time interval between the arrival of the reflected echo from the inner surface and outer surface to calculate the wall thickness. The electromagnetic acoustic transducer (EMAT) is a combination of the above two designs and represents a major advance in crack detection in both oil and gas pipelines.