Use of Cloud Computing Technology in the Pipe Laying Industries


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Pipe laying tools
Use of Cloud Computing Technology in the Pipe Laying Industries
Oil & gas pipe laying industries of today are entirely different entity than say, a decade ago. Years before, many pipe laying tools for oil & gas pipe laying industries often faced the difficulties in executing the pipeline plan, designs and construction because of various concerns affecting the industries such as political, geographical, cultural, environmental, legal and socio-economic problems. In overcoming these difficulties, many industries turn to pipe laying tools such as GIS mapping and employing CAD drawings in order to visually establish the proposed pipeline routes showing various stages of difficulties along the route. In so doing these industries are generating an enormous amount of data documentation that makes these industries very data intensive resulting in very costly maintenance & management of such huge amount of data in addition to technological limitations. Furthermore, the lack of data sharing abilities of the information and technological spectrum somewhat restricts accessibility particularly to personnel working geographically in dispersed locations.

Although many of these industries have developed industry-specific programs and pipe laying tools, including the use of satellite mapping technology in aiding project engineers, oil & gas pipe laying industry stakeholders and field engineers still battle a series of engineering, technology and information data management and communications related problems. Aside from many drawbacks such as copyright restrictions in downloading and installing software and often out of date satellite mapping, stakeholders, field and project engineers often make misconceived decisions that can lead to delays and consequently environmentally unwanted, unfriendly site visits that may ultimately increase project costs particularly in pipe laying, planning and ultimately execution.

So, in overcoming these enormous difficulties facing the oil & gas pipe laying industries, many companies turn to pipe laying tools such as cloud computing in resolving data management difficulties, but like in many new technologies in its infancy, several questions also arises as to the benefits it brings to the industry. However, these questions cannot be of greater value considering the gain and savings it may bring if it is correctly and meticulously implemented. In the oil & gas pipe laying industry alone, it provides benefits over the traditional practice of delivering pipe plan project because of decrease intricacy within the company's implementing departments. It offers real-time coordination among personnel wherever the project is geographically located and most of all it is easier and cheaper than the previous system of deliveries. It enhances significantly the importance of GIS data due to ease and effectiveness of accessing it on a company-wide scale, eliminating duplicate files, reducing server space and easing workloads of IT personnel.

Therefore to summarize it all, cloud computing in oil & gas pipe laying industries will improve integration, enhanced speed in accessing data and promote lower cost expenditures. However, in spite of the benefits of cloud computing, these pipe laying tools were not fully penetrated yet by the service on the same scale as other industries, presumably due to sensitiveness to pipeline data & information and the uncertainty of cloud computing security. But as questions over security arises, a survey carried out by some IT firms, Microsoft included, found out that of 172 oil & gas professionals worldwide, 64% of those surveyed shows that " a simpler and more unified computing environment is as valuable to their job performance", 62% prefer easier access to volumes of data necessary for decision-making and 52% prefer enhanced collaboration across disparate work teams.

But at the end of the day, success and failure of cloud computing in the oil & gas pipe laying industries rely mainly on it reputations and effectiveness.
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