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3D Printing revolutionizes the production of engineered parts, enabling manufacturers and Oil & Gas plant owners to prototype or replace any part, regardless of geometrical complexity. The disruptive nature of this technology impacts most industries today, from medical equipment manufacturers to Oil & Gas companies, allowing for logistical flexibility and full independence in the manufacturing of components that will allow the repair of existing assets and re-commissioning of obsolete equipment.
For any company, becoming independent from a supply chain grants a unique strategic position that allows for better prediction and control of product output.
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Microbiologically Influenced Corrosion (MIC) is a major concern in process industries, particularly in the Oil and Gas sector. It is estimated that 25-30% of corrosion related failures in pipelines and industrial equipment can be attributed to MIC. The cost of metallic corrosion has been estimated to range between 2-3% of the gross domestic product (GDP) in developed countries and MIC certainly accounts for a significant fraction of the total cost of corrosion amounting to billions of dollars due to unexpected shutdowns, equipment replacement, mitigation strategies, etc.
An iGOSP initiative ties multiple solutions together on a common wireless infrastructure, which allows systems to interact in such a way that they create new features, capabilities, automation and monitoring. The result is a facility that has unique efficiencies, maximum return on asset and delivers unparalleled value, visibility, predictability and adaptability.NGPD selected Abqaiq GOSP-3 to pilot the concept of an intelligent GOSP (iGOSP). Abqaiq GOSP-3 is one of the oldest facilities in NGPD; which was commissioned in 1978. The plant’s rack room has gone through several upgrade projects in the past. This resulted in present challenges including: Limited space in the rack room for any wired new instrument loop. Hence, an upgrade of the rack room will be needed for any future project. Limited spare cables in field junction boxes. Presence of local/pneumatic controllers.The ultimate goal is to sustain and expand Abqaiq GOSP 3 monitoring capabilities towards achieving operational excellence through the use of 4th Industrial Revolution (4IR) technologies. This plant is the first step in building a roadmap for other facilities to transform into the digital era through the use of state-of-the-art indus
Moisture related problems for non-permeable flooring systems have plagued the construction industry for decades. Lower volatile organic compounds limitations and expedited construction schedules have increased the occurrences and awareness of the issue.
Understanding environmental conditions experienced during shipping (both domestic and export) and/or storage is critical when determining the most effective corrosion control system for metal components. Temperature and humidity sensors were used to help understand the conditions within industrial packaging applications during different overseas shipping routes and during warehouse storage. The effect of secondary packaging (i.e. polyethylene film) on temperature and humidity within a package was also evaluated. The scope of this paper is to compile and analyze the data and utilizing it to help develop the best corrosion prevention strategies.Key words: Sensor corrosion control packaging overseas shipping
This paper will discuss the use of temporary desiccant dehumidification and climate control equipment as a strategy to protect ones investment during cold lay up applications in ships. The paper will look at the science of Psychrometrics and discuss how it can be utilized to help predict the optimal conditions needed to effectively control the moisture for an indefinite period of time.
As previously reported, the gap between electrochemical measurements for systems under bulk conditions and those under thin film layers of electrolyte is still important. Under thin film layers, it is not straightforward to take advantage of the typical three-electrode cell to electrochemically characterize a metallic surface under corrosion. Only a few localized electrochemical techniques are able to achieve measurements under thin films of moisture. It is important to bear in mind that the mechanism for corrosion under thin films is fully different from corrosion on bulk electrolytes and it is not valid to predict the behavior of the former system by extrapolating the latter.
Historically the corrosion condition and cathodic protection (CP) effectiveness of pipeline networks have been monitored by over-the-line surveys. Pipe-to-soil potentials and rectifier outputs are the major parameters measured, and for some pipelines a more intensive close interval survey is executed. Today test stations and more frequently rectifiers are equipped with remote monitoring devices which is shifting the industry towards the world of digitization. Unfortunately, external corrosion is still not fully under control.
In-Line Inspection (ILI) technology is considered one of the safest and most efficient and reliable inspection method to inspect hydrocarbon pipelines. The retrieved data are usually validated and verified upon successful completion of the inspection. This paper is intended to introduce a new approach to validate the ILI run based on a statistical analysis comparing the new ILI run with a previous ILI run of the same pipeline by leveraging a root mean square (RMS) model to quantify the similarity between the datasets. API-1163 and Canadian Energy Pipeline Association (CEPA) offer consistent criteria as a validation methodology for a new ILI run. Also, this paper will demonstrate a new scoring criterion for accepting Magnetic Flux Leakage (MFL) runs with partial data loss as number of MFL runs experience unexpected data loss, which might affect the minimum reporting threshold of the tool. The approach will help pipeline operators to identify the criticality of the missed data via a detailed comparison with the previous MFL run for the same pipeline and detailed analysis of the behavior of the tool during the run. The scoring criteria is aligned with the Pipeline Operators Forum (POF) requirements for data loss. Multiple case studies extracted from actual data will be presented throughout the paper.