Data in Data out
The sheer volume of data, voice and video traffic sent and received by industries in remote locations is increasing. Oil and gas in particular can look forward to vast growth in bandwidth usage levels. But, does all this communication need to be happen in
Optimising data transfer from remote locations Does volume mean value?
In May 2014, at the Oil & Gas Communications Brazil event, infrastructure and logistical services specialist Brastrading predicted that maximizing the successful operation of the oil and gas rigs of the future will depend on a bandwidth usage level of 100 times that of today. Even now, as Martin Jarrold, chief, international programme development of the Global VSAT Forum ( GVF), said: “Many types of oil and gas installations and vessels ~ fixed, remote, and mobile ~ are requiring ever- increasing amounts of satellite bandwidth to meet the industry’s communications needs.” That goes for exploration platforms and ships, drilling rigs, floating production units, offshore support and supply vessels, tankers, pipelines and more. And, he continued: “At the very core of increasing bandwidth demand is the ‘ here and now’ of the digital oilfield.” This means cloud server applications that are increasingly going to enable the transfer of oil and gas field IT infrastructure, and IT personnel expertise away from various offshore, or other remote locations, to centrally located areas, in support of what Jarrold calls, “fully integrated operations which comprise ‘ always- on’, real- time, well- head and drilling measurements and data networking or sharing; along with video- based equipment and instrument monitoring, video- based remote surveillance for safety and security, and video conferencing.”
There’s yet more data headed towards us
Much more data is becoming available. Roy Woodhead, value creation manager, oil and gas industry at HP, said: “The data explosion is coming from sensors telling us things we’ve never been able to measure and know previously; the digitisation of documents such as well- logs, and new information caused by combining older data such as linking various logs to reservoir models to augment our interpretations and understanding.” All of which means more integrated information, yielding better insights, and improved decision- making.