Oil and Gas industry is a slow adapter in digitizing its functions like other industries. But according to 2018 Oil & Gas prediction, digitization is trying to take front row as one of the hottest trends in the sector. Various oil and gas companies are now realizing the growth opportunities. That’s why they have now started investing in digital technologies. They have now started to use a single platform to facilitate last mile connectivity in oil and gas. This modernization in the energy sector is probably caused by AI, data analytics, supercomputing, machine learning, and automation.
Whether it is SCADA automation alerts, emergencies, work orders, or flow techs, the field workers should be capable to deal with these all through one single platform. Field workers are the main backbone of oil and gas industries and you can never ignore this fact. So if your company is able to support them by supporting their capability of making the best decisions at each junction, ultimately it will improve the efficiency of the entire operation.
With the help of artificial intelligence now you can make available the latest information on production volumes, compliance, and other expenses to field personnel whenever they require it. This is the main reason why oil and gas companies are adopting digital technologies to perk up functional efficiency.
Importance of Last Mile Connectivity in Oil and Gas Industry
The last mile connectivity in oil and gas has a greater impact on production than others. By using AI, a system can easily acquire all the data about each and every well, rules and regulations, field worker, and highest priority task. These can bring out effective last mile connectivity in oil and gas. Combination of AI, cloud computing, and mobile technologies makes available an entirely digitized and completely linked oilfield that really pumps by exception. This modern technology now can guide the right worker to the most important tasks by providing information about route fewer fields and extraordinary productivity.
However, adapting road of digital oil and gas field is not that much easy. But oil and gas industries must defeat these obstacles to give free rein to their true potential and pump by exception.
Let’s have a look at how this digital technology can handle the barriers to pump by exception.
1) Unproductive Route Management
In the traditional method, route management is entirely manual and based on the knowledge of lease operators. But technologies are changing and they are providing a better way. So companies should encourage their employees to adapt to this new approach. With the help of mobile technologies, companies can make a flow of work simple, seamless integration of multiple systems, and can make field workers free from routine routes.
2) Redefining The Mid Transmit Centers
The mid transmit centers have an important role within oilfield management since long. They collect data and coordinate most of the field activity. Without using digital technologies, it is impossible for these centers to work efficiently. With AI, this manual management can be replaced with computerized intelligent job distribution, where every field worker is matched to the exact task at the exact time.
3) Back Office Complication and Poor Usability
When every field worker has to interact with complex back office system then it will definitely affect their performance. Instead of spending time making sure that wells are producing at their maximum levels, they have to spend time on a complex system.
The smart platforms accessible today, line up ERP, EAMS, and accounting systems into one simple interface. It will allow field workers to complete the similar administrative tasks without any difficulty and in a little bit of the time. This helps oil and gas producers get rid of lots of data and facilitate last mile connectivity in oil and gas. It will effectively close the opinion and resolution sphere and bring exceptional efficiency to the gas and oil field.
4) The Drawback Of In-house IT Team
In-house IT teams nowadays only add complications and cost to operations. As they learn and make their mistakes at their organization’s expenditure, create delays, and reduce the output. On the other hand, professionals have learned from experience and provide bespoke, verified, scalable products that optimize gas and oilfield efficiency. They offer rapid installation and incorporation with existing systems, with cloud computing. It decreases capital expense and greatly improves ROI for their customers.
Conclusion
AI’s influence and perspective to amplify efficiency and cost-effectiveness are making the technology gradually more attractive and making faster its acceptance across all sectors of the oil and gas industry. The oilfield must take the data streams mutually in one intelligent platform to enable last mile connectivity in oil and gas.
