Data & Analytics
After years of market shocks, technological breakthroughs, and rising uncertainty, ATCE 2026 will provide new insights on how industry leaders and technical experts are preparing for the next era of the upstream business.
This research focuses on combining physics-based expert rules with machine learning to improve the detection of failure-related events in electrical submersible pumps.
A combination of physics principles and machine-learning techniques is used in this work to develop a virtual flowmeter for oil-production optimization in electrical-submersible-pump-lifted oil wells, resulting in reliable generalization.
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What does industry need to create successful ecosystems in a new digital reality? While companies identify and implement new technologies to streamline their operations, a greater focus on new cultures, skill sets, and mindsets may be necessary. -
Companies such as Google, Schlumberger, Shell, and Encana are working to turn the industry’s rat’s nest of data into a goldmine of insight, analysis, and technology.
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Strides made in data analytics over the past few years have been huge. But the complexity of data, and understanding how to use them, can delay the advantages to be gained. If the benefits and methodology of data acquisition are not better explained to engineers, might implementation suffer?
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These days, it is all about digital. Click to find out what industry leaders from Encana, Google, Schlumberger, and Shell have to say about the ongoing transformation towards data-driven profitability.
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Cybersecurity means understanding systems, processes, and personnel capabilities and limitations, as well as thoroughly evaluating the threat landscape.
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A push for greater operational efficiency has driven industry focus on new technologies to improve digital work flows, but what impact does this have on the people in the industry? What role do organizational cultures play in implementing new technologies?
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The same tools that make it fun and easy for you to see a friend's updates online are also pretty good at tying together unconnected databases holding valuable well information.
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Unstructured data, such as process logs, safety reports, and public records, make up the bulk of data produced from the oil field. Emerging NLP technology has been designed to help make sense of this data, enabling better insights into near-accidents.
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The data collected via monitoring and metering applications are increasingly viewed as central to assessing production performance and in decision making to optimize field development and operations.
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How can communication standards help companies create and enforce stronger cybersecurity protocols? What roles do people and technology play in securing assets? Industry experts look at these questions and examine other drivers of the digital oil field.
