IVM

IVM connects real-time control systems, data historians, and production accounting systems, delivering critical data to personnel on mobile devices. This shared virtual forum unites remote facility, production, reservoir, and management teams, accelerating collaboration across disciplines.

By streamlining data access, IVM empowers producing companies to make faster hour-to-hour operational decisions. This helps oil and gas companies successfully navigate industry challenges like controlling costs, maximizing recovery, and optimizing profits.

IVM increases revenue by reducing deferred production, allowing teams to avoid future shut-ins through proactive repairs, bring offline wells back online quicker, and easily track recurring upsets to eliminate them entirely. Additionally, the platform dramatically reduces decision-making cycle times for critical assets by minimizing data management and maximizing engineering analysis. Because it integrates seamlessly with existing DCS, SCADA, HMI, and Data Historian platforms, it significantly shortens the time-to-value for your most important assets.

IVM enables production engineers to prevent downtime by overlaying downhole and surface data to track performance trends and flag deviations from wellbore models. For ESP monitoring, the software plots real-time pump data directly onto published performance curves and triggers alerts if operations become unsafe. Additionally, IVM automates well testing for accurate production allocations and provides curve-fitting tools to simplify decline management and forecasting

For reservoir engineers, IVM automatically captures and analyzes pressure buildups during routine shut-ins, eliminating the need for dedicated, costly test periods. Built-in Horner and MDH plots allow engineers to quickly calculate and trend P* values across multiple wells over time. Additionally, the platform's data cleansing features enable users to easily condition and export actual performance data into external modeling tools like Petex, Kappa, and Schlumberger to compare it against predictive models.

Facilities engineers use IVM to troubleshoot and optimize process performance by viewing entire system data simultaneously and trending up to eight parameters at once. The platform automates the comparison of real-time data against process simulator predictions, triggering alerts when deviations exceed set limits. Additionally, IVM optimizes specific equipment performance; for instance, it plots pump rate and pressure data over manufacturer performance curves and monitors hydraulic fluid metrics to flag leaks before a costly platform shut-in occurs.

Operators use IVM to monitor all measured parameters on intuitive displays, giving them a complete overview of the facility. The platform's customizable alert system draws attention to specific areas so operators can diagnose and fix pending issues before a shutdown occurs.

Additionally, IVM's "first out" capabilities quickly pinpoint the root cause of equipment shutdowns. Identifying the exact trigger speeds up repairs and minimizes production losses by getting equipment back online faster, while trending these first-out events helps isolate troublesome components for targeted preventive maintenance.

IVM provides a shared online environment accessible via the intranet or internet, allowing remote and on-site teams to view the same real-time data simultaneously. This creates a single source of truth that streamlines problem-solving and decision-making, eliminating the scheduling delays of traditional technical presentations and minimising lost production. For external stakeholders, users can export and attach trending screenshots to emails with a single click to share observations with joint venture partners who lack IVM access.

Managers can use the platform to monitor high-interest activities—such as the performance of a costly new well—by tracking any operational data element they choose to monitor.

IVM allows users to build ad hoc displays from any data source, charting up to eight separate datasets simultaneously on independent scales. Users can zoom in on specific details, slide chart axes independently to overlay disparate datasets, and use horizontal or vertical dividers to quickly measure time intervals or data ranges. This flexible, non-constrained environment helps teams quickly visualise cause-and-effect relationships, isolate bottlenecks, and optimise returns.

The platform includes an integrated data historian featuring ten mathematical curve-fit routines to uncover the root causes of recurring process upsets. To enhance data continuity, users can annotate historical data directly, embedding comments into the display to record conclusions for future reference. Furthermore, any system variable can be cross-plotted against another to identify dependencies and build crucial diagnostic tools, such as pump curve overlays and vessel positioning charts.

Trend curves can be extended into the future to calculate asset values at any selected date. This predictive capability allows engineering teams to easily forecast future production and determine exactly when critical operational thresholds will be achieved.

IVM automates test tracking and maintains a complete journal of generated data. Real-time well test volumes and 24-hour rates become available to decision-makers the moment a well test purge ends, resulting in more consistent and accurate testing. This data is combined with flowing statuses and process or fiscal meters (such as fuel, flare, oil, water, and gas export meters) to automatically calculate the Facility Battery Factor.

The platform features built-in reservoir surveillance that allows engineers to perform quick surveillance on numerous wells. Users can easily generate Horner and MDH plots to calculate and trend P∗ skin, permeability, productivity index, and depletion, while storing analysis comments directly in the database. These actionable insights improve the understanding of reservoir communication, maximise recoverable reserves through better injection oversight, increase engineer productivity, and flag underperforming wells that require more sophisticated pressure transient analysis tools.