For decades, field operations have been organized around a straightforward assumption: if you want to know what is happening at a well, someone needs to check it. That model made sense when field information moved slowly. It becomes harder to justify when equipment can report conditions remotely, production systems can show daily performance across an entire asset base, and operations teams are expected to squeeze more value from every field visit.
The first generation of pump-by-exception improved that equation by helping pumpers focus on wells showing a problem rather than treating every site as equally urgent. Now there is another opportunity. When real-time SCADA monitoring and daily production surveillance inform the same operating process, teams gain more context for deciding which wells deserve attention first. This is not autonomous production optimization, nor is it a promise that software can predict every failure before it occurs. It is a more practical evolution: combining faster equipment signals with production history, targets, field observations, and exception-based workflows so experienced people can make better prioritization decisions.
PakEnergy has documented capabilities on both sides of that equation. OnPing provides SCADA and IIOT monitoring, alarms, trending, calculated values, and historical machine-data capabilities, while PakEnergy Production provides field data capture, daily and monthly production tracking, downtime tracking, dynamic route management, and pump-by-exception functionality. Connected oil and gas software gives operations teams an opportunity to bring those signals closer together. Instead of asking field teams to react to every alarm or follow the same route regardless of current conditions, operations can make better use of the information already coming from the field.
More visibility does not automatically create better operations. A SCADA system can tell a team that a condition changed. As the number of monitored devices grows, however, so does the amount of information competing for attention. Pressure moves. A tank level changes. Equipment crosses an alarm threshold. A communications issue appears. Somewhere else, another well is producing below expectations without generating the loudest notification of the morning. Operations teams still have to decide what matters.
OnPing addresses the immediate monitoring side with customizable alarms, including notifications by text, phone, and email, calculated conditional values, call-order assignments, and integration with other notification systems. The platform also provides up-to-the-minute sensor data, comparative trends, visualizations, live calculated values, and automated reporting. Those capabilities can help teams identify changing conditions quickly. Yet an alarm by itself does not necessarily tell an operations team how that well should rank against every other issue in the field. That requires context.
PakEnergy Production supports dynamic route management and pump-by-exception workflows intended to help field staff focus on priority wells. The same platform tracks daily and monthly production, allocated data against production targets, oil, gas and water volumes, downtime, run tickets, and other field activity. That production context matters because a well does not need to be completely offline to deserve attention. A change in performance may warrant investigation even when equipment continues operating. An alarm-first workflow waits for a defined condition to trigger a response. Production surveillance broadens the view by allowing teams to consider how current performance compares with targets, history, and other operating information. That is where pump-by-exception starts becoming more useful than a smarter route sheet.
SCADA monitoring and production reporting overlap, but they are not the same thing. OnPing is designed to monitor and combine information from field equipment. The platform documents support for device and protocol integrations, multiple communications types, real-time calculated and trending virtual parameters, alarms, automated reports, dashboards, HMIs, and two-way site monitoring and control.
PakEnergy Production approaches the field from another direction. Its oil and gas production software tracks daily and monthly production, compares allocated data with production targets, captures field information, records downtime and events, manages run tickets, and supports dynamic routing. Put those two perspectives together conceptually and an operator gains a richer picture.
SCADA can reveal what equipment is doing now. Production surveillance can show how the well is performing within a broader operational history. Field observations add another layer of context that instrumentation alone may not capture. PakEnergy states that OnPing works with Pak Production to produce reliable production numbers. Its OnPing datasheet similarly describes the products working together to provide timely production analytics. For an operations teams, the opportunity is not simply more data. It is better context for deciding where limited field time should go.
"Predictive" deserves some care here. It is tempting to turn the term into a promise that software knows a pump will fail Tuesday afternoon. That is not what PakEnergy's published materials establish, and it is not necessary to make the case for better surveillance.
OnPing does document a built-in machine learning platform for utilizing historical machine data, along with comparative trends, calculated values, alarms, scripting, and automated tasks. Pak Production adds production histories, targets, downtime information, field observations, and variance-oriented monitoring. Those capabilities can support a more informed exception-management process. Historical patterns and current conditions give engineers and operations teams more information for recognizing unusual behavior and deciding whether a well deserves investigation. That distinction matters.
Predictive production surveillance should help people recognize patterns and prioritize attention earlier. It should not be confused with a guaranteed prediction of equipment failure or an autonomous decision to change field operations.
There is no universal answer because the decision depends on the operating conditions, safety implications, equipment, production impact, and the team's own procedures. The important point is that alarm status alone does not provide all of that context. Production surveillance gives the team another lens.
Pak Production allows operators to monitor allocated data against daily and monthly production targets and maintain production history across properties. Its production dashboard and reporting tools are designed to give teams current visibility while allowing them to drill into more detailed information. Combine that perspective with SCADA trends and alarms, and the field conversation becomes less binary. A well is no longer simply "alarming" or "not alarming." Teams can evaluate what the equipment is reporting alongside what the well has actually been producing.
Consider an operations team responsible for a mature field with wells spread across a large geographic area. The field team has limited hours in the day, and a fixed route means some of those hours are inevitably spent checking wells that are operating normally. Meanwhile, a well outside the day's route may begin behaving differently.
With remote SCADA monitoring, the operations team has current equipment information without waiting for someone to arrive on location. OnPing's customizable alarms can call attention to defined changes, while trends and calculated values provide additional context around those signals. Pak Production adds the daily operational picture. The team can review production against targets, downtime, field activity, and historical production information while using pump-by-exception and dynamic routing capabilities to focus field attention.
The operations team still makes the call. The pumper still brings field knowledge that a dashboard cannot replace. An engineer may still need to investigate before anyone knows whether a change represents a mechanical problem, an operating adjustment, or normal variation. What improves is the information available before resources are committed. Instead of treating every site equally, the team can prioritize based on what is actually happening across the field.
Reducing unnecessary site visits is not simply about mileage. Every routine stop consumes something scarce: field attention. A pumper who spends less time traveling to wells that show no reason for immediate attention has more capacity to investigate exceptions, perform lease assessments, document conditions, and address the work that genuinely requires a person on location.
PakEnergy explicitly positions OnPing as a way to reduce costly visits to remote sites and Pak Production's pump-by-exception technology as a way to help field staff focus on priority wells. The operational value depends on how each company configures and manages those workflows. Some assets will always require scheduled physical inspections for safety, compliance, maintenance, or operating reasons. Pump-by-exception should complement those responsibilities, not erase them. The goal is to stop using geography or habit as the only way to decide where field attention goes next.
Connecting more field equipment also increases the importance of operational technology security. SCADA systems interact with physical processes, so remote monitoring, communications, user access, device integrations, and control capabilities need to be managed with appropriate cybersecurity practices. That consideration becomes even more important when organizations expand connectivity across previously isolated field assets.
The NIST Cybersecurity Framework 2.0 provides a voluntary framework organizations can use to understand and manage cybersecurity risk. For energy companies specifically, the Department of Energy energy sector cybersecurity preparedness guidance emphasizes situational awareness, risk analysis, continuous assessment, and informed decision-making as important parts of energy-sector cybersecurity. Those principles belong in any conversation about expanding SCADA connectivity.
Operations wants visibility. Engineering wants useful data. IT and security teams need appropriate access controls, network architecture, monitoring, and risk management around the systems delivering it. A smarter production-surveillance strategy should account for all of them.
The technology matters, but the workflow around it matters just as much. An operations team considering a more exception-driven production model should start by looking at how the team currently decides where to go each morning. If yesterday's route largely determines today's route, there may be an opportunity to use current production and equipment information more effectively.
Several questions can expose where the biggest gaps sit:
The goal is not to create the most automated field possible. It is to create a field operation where people have enough timely information to use their expertise where it matters most.
There is a tendency in conversations about machine learning and automation to push toward a future where software makes the operating decision. That is not necessary here. OnPing can collect equipment data, generate alarms, calculate values, visualize trends, and use historical machine data through its machine learning platform. Pak Production can provide production history, targets, field data, downtime tracking, and dynamic route management.
Those capabilities can make prioritization considerably more informed without removing the experienced people responsible for the asset. An operations team understands the field's constraints. Engineers understand the wells. Pumpers know when something simply does not look right. Technology is most useful when it gets those people to the right problem sooner, armed with better information.
Pump-by-exception began with a sensible idea: do not spend the same amount of field time on every well when some clearly need more attention than others. The next evolution adds context. SCADA monitoring provides current equipment information, alarms, trends, and calculated values. Daily production software adds production history, targets, downtime, field observations, and operational reporting. When those capabilities inform the same production-surveillance process, teams have a stronger basis for deciding which wells deserve attention first.
PakEnergy has documented the pieces required to support that approach. OnPing monitors and combines data from field equipment and integrates with Pak Production, to provide field data capture, production surveillance, pump-by-exception, downtime tracking, and dynamic route management. The value is not a promise that an algorithm will predict every failure. It is giving experienced operations teams a better chance to see developing problems, understand their context, and focus limited field resources before a manageable exception becomes a much larger production issue.
See how Pak Production and OnPing SCADA can bring field monitoring, production surveillance, and exception-based workflows closer together so your team can spend more time on the wells that need attention. Schedule a PakEnergy demo.
What is pump-by-exception in oil and gas?
Pump-by-exception is an operating approach that uses field and production information to help pumpers focus attention on wells that require review rather than relying exclusively on fixed routes. PakEnergy Production includes pump-by-exception technology and dynamic route management for field teams.
How does SCADA support production surveillance?
SCADA systems collect and monitor information from field equipment, giving operations teams more timely visibility into site conditions. PakEnergy's OnPing platform supports up-to-the-minute sensor data, customizable alarms, comparative trends, calculated values, automated reporting, dashboards, and remote monitoring and control.
Does PakEnergy predict oil well failures automatically?
PakEnergy's public materials do not establish a blanket capability to automatically predict oil well failures. OnPing does include a machine learning platform for using historical machine data, along with trending, calculated values, alarms, and scripting. These capabilities can support analysis and exception management, but operational interpretation and response remain important.
How do OnPing and PakEnergy Production work together?
PakEnergy states that OnPing works with PakEnergy Production to produce reliable production numbers. OnPing provides SCADA and IIOT monitoring of field equipment, while PakEnergy Production provides field data capture, production tracking, surveillance, downtime tracking, dynamic routing, and reporting.
Can PakEnergy Production compare wells against production targets?
Yes. PakEnergy states that its Production software can monitor and analyze allocated data against daily and monthly production targets. The platform also maintains production history and tracks oil, gas, water, and other products.
Can pump-by-exception eliminate routine field inspections?
No. Physical inspections may still be required for safety, compliance, maintenance, company procedures, and other operating reasons. Pump-by-exception helps teams prioritize field attention using current information; it does not eliminate the responsibilities that require someone to be physically present.