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.

The digital transformation journey can be personalized based on each company’s maintenance maturity, by augmenting or improving on technologies such as condition-based monitoring and product inspections rather than replacing them.

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.

When Ferring Pharmaceuticals wanted to move from batch to continuous manufacturing, they found that laboratory assays were too time consuming to provide meaningful feedback for real-time control, and 100% product quality inspection was not possible.

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