Intelligent Automation Use Cases that are Revolutionizing Oil and Gas Industry
Robotic process automation (RPA) and machine learning are well known for their ability to automate tasks by allowing robots to mimic human activities. Due to RPA's high accuracy and speed in performing tasks, businesses can use it to streamline and improve their business operations.
Additionally, the ability of RPA to carry out tasks aids numerous businesses in streamlining their procedures and enhancing operational effectiveness. In recent years, the oil and gas industry has become increasingly dependent on automation due to the necessity to execute activities on time. Therefore, Robotic Process Automation in oil and gas industry can boost businesses' productivity.
The move to automation-led digitization is crucial for an industry that has seen significant investment reductions, personnel layoffs, and project halts. The oil and gas industry is divided into three main segments: upstream, downstream, and midstream. RPA tools can be applied to a variety of tasks in each domain.
Robotic Process Automation In Oil And Gas Industry: Use Cases
Rigs And Well Drilling Automation:
Automation can make design and construction, which typically makes up 40–70% of an O&G company's CAPEX, stand out from the competition. At the moment, offshore rigs need 100 full-time workers on board. O&G companies can coordinate the entire well drilling and rig construction process with 10-15 FTEs thanks to the automation of the drilling process, which entails dangerous tasks like drill pipe lifting, pressure drilling, and drill string assembly as well as others that require a high degree of precision, like well fracking.
Geospatial data, surveys, and flow controls can also be incorporated with exploration analytics toolkits to automate the many phases involved in the well-planning process. This is accomplished by incorporating intelligence into platforms that are based on RPA in oil and gas industry. Drilling operations are fully digitalized in their mature condition thanks to submersibles, networked sensors controlling the equipment, and interfaces with tablets and augmented reality.
2.Remote Monitoring:
Mission-critical systems that track environmental data points like temperature, pressure, flow rate, motor torque, tank levels, and amperage must be monitored in the asset-intensive oil and gas industry. Some circumstances require immediate response, like compressor failures, power outages, high tank levels, or low water pressure.
When monitoring these variables necessitates constant human presence, callout devices, PLC alarms, and on-site drones can automate the monitoring process and remove the requirement for keeping employees' eyes glued to screens and equipment to prevent costly downtime. Monitoring automation through Robotic Process Automation in oil and gas industry eliminates error and neglect from onsite operations, boosting uptime and cutting back on expensive staff hours.
3. Regulatory Conformity:
The oil and gas sector is highly regulated, and sustainability-focused rules will only drive up the costs of breaking the rules. Compliance automation can retroactively protect O&G operations by establishing audit traceability and restricting operations with rules-based process parameters, even though some oil and gas corporations have paid roughly $30 billion in fines.
Compliance automation can bring upstream, midstream, and downstream operations of O&G companies into the open, helping to avoid expensive fines and eliminating instances of violation that damage reputation and negatively affect the bottom line. Compliance automation ranges from programming logic that aligns business and production processes to compliance imperatives to report generation automation. Carbon tracking options are abundant in contemporary compliance software, which can assist businesses in accomplishing sustainable operations while simultaneously adhering to strict emission rules.
4. Optimizing oil and gas production:
Over $50 billion of the overall value is attributable to production optimization in the oil and gas sector. However, fluctuating climatic circumstances are a part of manufacturing automation and optimization. A significant portion of the production process can now be automated and integrated with alerting systems thanks to networking technology, including pressure reduction in the transfer line, nodal analysis, inflow performance analysis, digital separation optimization, and sub-surface equipment handling.
The operators' digital platform can be integrated with automated processes, gas lift insights, flow rate factors, and production analytics to enhance decision-making while equipping them with crucial controls for in-the-moment intervention. Last but not least, production automation helps managers to run the factories at the lowest possible rates when demand is low, boosting long-term profitability of production operations.
5. Management of Fleet and Logistics
For oil and gas industries, delivery logistics cost about 15% of overall production expenses. To achieve industry-leading paradigms like just-in-time drilling equipment delivery, low truck emissions, efficient water hauling, and remote material tracking after equipment purchase, optimal logistics operations are essential.
End-to-end networked logistics that is fueled by automated fleet management and full insight into all the fleet's moving elements activates these concepts. RPA in oil and gas industry can also help in logistics by cutting the cost of delivery vehicles by 20%, resulting in a 2% decrease in the total cost of materials and a 2-3% decrease in cost per BOE overall.
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