... setpoint management leveraging physics-assisted artificial intelligence algorithms was implemented in a field-based pilot, which resulted in a monthly production uplift up to 4% over plan as well as a 48% decrease in greenhouse gas emissions due to increased well stability and fewer venting events...

... media saturation separator fluid dynamics artificial intelligence journal viscosity upstream oil & gas machine learning pressure brine injection porosity petroleum technology flooding permeability modeling & simulation relative permeability experiment permeability curve...

... conspicuous acknowledgment of SPE copyright. References References E. Khamehchi , I. Rahimzadeh Kivi , M.R. Akbari , A novel approach to sand production prediction using artificial intelligence , J. Petrol. Sci. Eng. 123 ( 2014 ) 147 – 154 . B. Wu , and C. P Tan...

... the wellbore wall. Additionally, we analyze the effect of controllable variables on the accuracy of the distance calculation. upstream oil & gas algorithm imaging sensor fingerprint drilling operation artificial intelligence criterion sensor 1 directional drilling accuracy sensor image...

... with 7 of the more complex and expensive projects employing the full quantitative VOI approach. These analyses have been used to inform decision making on over CAD 400 million of proposed de-risking activity spend. upstream oil & gas risk management artificial intelligence research...

... reservoirs providing a sustainable way to minimize carbon footprint while delivering energy. upstream oil & gas complex reservoir machine learning reservoir optimization problem taranaki basin neural network reservoir characterization architecture deep learning artificial intelligence...

... and operations drilling operation machine learning upstream oil & gas artificial intelligence ultrasonic transducer downtime exterior packoff novel deployment machine-learning algorithm algorithm classification middle east hanger accuracy operator personnel Introduction In the oil...

... was successful in mitigating potential seismicity risks, which can be applied to other regions to guide seismicity-free fracturing operations in unconventional plays. upstream oil & gas artificial intelligence complex reservoir reservoir characterization hydraulic fracturing machine learning...

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... challenge artificial intelligence instructor solution cloud solution adoption transformation interaction society houston educational setting tenant tutorial petroleum engineer promote Introduction Different companies implemented virtual learning environments to save costs and improve...

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..., the project has moved into a new phase for further optimization of the steering advice and linking the automated steering advice to an Automatic Drilling Control (ADC) system to deliver a more automated closed loop service. drilling operation upstream oil & gas artificial intelligence well...

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... human knowledge with Artificial Intelligence techniques, in a way which fosters safer designs and operations, while maintaining Subject Matter Experts (SMEs) at the center of decision making. Encoding of human knowledge (e.g., Subject Matter Expertise, Industry best practices) in digital applications...

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... corrosion artificial intelligence frequency defect voltage transmitter inductance scenario simulation inspection flowline corrosion prediction sensor coil subsystem well integrity coil machine learning diameter coupling dimension defect depth defect location algorithm pixel accuracy...

... for an accurate mineralogy quantification. The XRD cores analysis is usually used to calibrate the petrophysical evaluation using well logs data because they are economically efficient. To remedy to these limitations, artificial intelligence and data-driven based models have been widely deployed in the oil...

... workflow for the spatial and temporal migration of the CO 2 plume. The efficiency and flexibility of the data-driven workflow make our approach suitable for field-scale applications. deep learning united states government reservoir surveillance machine learning architecture artificial...