AI/machine learning
In the past year, publications on CO2, natural gas, and hydrogen storage have increasingly focused on the design, evaluation, and optimization of storage plans. These efforts encompass a broad spectrum of challenges and innovations, including the expansion of storage reservoirs from depleted gas fields and saline aquifers to stratified carbonate formations and heavy-o…
This paper introduces an agentic artificial-intelligence framework designed for offshore production surveillance and intervention.
Reaching further than dashboards and data lakes, the agentic oil field envisions artificial intelligence systems that reason, act, and optimize.
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Deep learning is routinely used in products and services that affect hundreds of millions of lives, despite the fact that no one quite understands how it works. Now, the Office of Naval Research has awarded a $7.5 million grant to a group of researchers who think they can unravel the mystery. -
“Being mindful is about being intentional,” said Ahmer Inam, chief AI officer at technology consulting firm Pactera Edge. “Mindful AI is about being aware and purposeful about the intention of, and emotions we hope to evoke through, an artificially intelligent experience.”
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Advanced machine-learning methods combined with aspects of game theory are helping operators understand the drivers of water production and improve forecasting and economics in unconventional basins.
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The complete paper discusses optimization of a development plan involving low-salinity water injection.
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Decline-curve analysis is one of the more widely used forms of data analysis that evaluates well behavior and forecasts production and reserves. This paper presents technologies that apply DCA methods to wells in an unbiased, systematic, intelligent, and automated fashion.
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Using 3D and artificial intelligence technologies, a digital map of all three bridge-linked jackets was captured, enabling Neptune to detect asset-integrity issues early and plan fabric maintenance work on Cygnus.
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Recent advances in data technology and machine learning have disrupted many businesses and processes and can lead to a new paradigm in workplace safety as well. This case study demonstrates the application of data science and predictive analytics to aid the health, safety, and environment function.
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This story reviews well-adopted ideas that have stood the test of time, presenting a small set of techniques that covers a lot of basic knowledge necessary to understand modern deep learning research.
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In industries where data is key to gaining competitive advantage, artificial intelligence and machine learning have become necessities. Tim Custer, senior vice president with Apache, shares how artificial intelligence is affecting the way the energy business operates.
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An intelligent drilling optimization application performs as an adaptive autodriller. In the Marcellus Shale, ROP improved 61% and 39% and drilling performance, measured as hours on bottom, improved 25%.
