Aspen Unified Reconciliation and Accounting (AURA) is the next generation production accounting solution that addresses key market needs: fast and efficient mass and volume balance, advanced analysis, reporting and visualization to enhance collaboration among key stakeholders and enable agile decision making. Use this interactive infographic to discover how AURA effectively manages the business process of measuring, validating, reconciling and publishing all the flows and inventories into, within and out of a plant.

A breakthrough innovation, Aspen Hybrid Models™ help energy companies quickly develop comprehensive, accurate models to address the most complex operational challenges. With the release of aspenONE® V12, Aspen Hybrid Models leverage the power of AI without engineers requiring data science or machine learning expertise—truly democratizing the application of industrial AI.

Discover how to predict equipment breakdowns and perform prescriptive maintenance using a new approach to asset performance management. In this white paper, learn how nine early adopters of prescriptive analytics have reduced unplanned downtime and improved asset reliability. Download the paper to read real stories about the bottom-line results that have been achieved—in as little as 2 ½ weeks.

The energy industry is finding its voice and taking its seat at the table as the world works to address the challenges of the energy transition.

Aspen Interpret has an established reputation for providing accurate and reliable well test interpretations, reinforced by over 25 years of use as an effective petroleum engineering tool.

One of the key challenges in accelerating decision-making and reducing the development cycle of any operational E&P prospect is to seamlessly share the same updated data with all parties involved in the project. An Aspen Geolog-OSDU Connector was built by the AspenTech SSE team in close collaboration with TotalEnergies.

Using AspenTech’s APM solutions, customers eliminate downtime with actionable insights that help reduce costs, safety concerns and environmental impact.

The message this year from ADNOC CEO, Dr. Sultan Ahmed Al Jaber, was upbeat and strong and opened by talking about the global challenge of growth and sustainability.

Linking vast amounts of plant data with either off line or online process models, engineers can improve operational decisions with deeper process insights. AspenONE Engineering will increase throughput and operating efficiency through data-driven decisions enabled by plant calibrated predictive models through an operator friendly interface.

As the Oil & Gas industry attempts to address the threat that carbon release poses to the global climate, the issue of unplanned downtime comes into focus. To avoid greenhouse gas emissions and minimize safety incidents, companies can leverage AI systems such as prescriptive maintenance powered by machine learning to predict impending failures weeks or months in advance—and prescribe actions to avoid or mitigate the issue.