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You’ve heard of generative artificial intelligence, and odds are you’ve used it. But do you know how it works?
Each year during its Annual Technical Conference and Exhibition (ATCE), SPE honors members whose outstanding contributions to SPE and the petroleum industry merit special distinction. Recipients will be recognized at the Annual Awards Banquet on Tuesday, 24 September.
Since the late 1930s, the offshore industry has advanced from the first platform in 14 ft of water to the ultradeepwater 20K era. Driven by seismic, drilling, and development breakthroughs, the industry has pushed into deeper waters, high-pressure reservoirs, and new frontiers like Guyana, continually expanding the limits of offshore exploration.
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In this inaugural episode of his vodcast and column, 2025 SPE President Olivier Houzé shares his insights on the challenges facing our Society and its members, as well as his vision for his presidency.
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Surveillance technologies have undergone a revolution, reshaping how facilities, wells, and reservoirs are monitored. These advancements not only have increased the scale at which these technologies are deployed but also have led to an unprecedented influx of data. The sheer volume of data, however, poses a significant challenge to traditional analytical methods.
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Collaboration agreement lays foundation for advancing tech and know-how for harsh environment operations.
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This paper describes a new integrated workflow for automated well monitoring using pressure and rate measurements obtained with permanent gauges and flowmeters.
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This paper proposes a method to radically revise the well-path-generation process to reach the vision of planning a well in one day with high quality, relying on the collection of experienced-based constraints from each discipline to generate possible alternatives.
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The goal of the project described in this paper was to test the added value of shear-wave velocity interpreted from underwater multichannel analysis surface waves, particularly as a propagation tool of geotechnical information.
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This paper assesses the potential of augmented depletion development in four US plays: Bakken, Eagle Ford, Midland, and the Anadarko Basin.
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This paper describes the development of a comprehensive digital solution for well surveillance and field-production optimization for an offshore field consisting of four stacked reservoirs, each containing near-critical fluids.
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This paper describes a workflow that has been established to calculate the value of reservoir surveillance in producing gas fields based on established value-of-information methods.
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This paper describes an approach that combines rock typing and machine-learning neural-network techniques to predict the permeability of heterogeneous carbonate formations accurately.
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This study describes the performance of machine-learning models generated by the self-organizing-map technique to predict electrical rock properties in the Saman field in northern Colombia.
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The traditional method of inspecting tanks puts workers in danger. Using robots instead can keep workers out of harm’s way.
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This paper presents an automated underwater robot and a nondestructive testing eddy-current probe for alternating-current field measurement analysis of jacket main welds.
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This study compares seven imputation techniques for predicting missing core-measured horizontal and vertical permeability and porosity data in two wells drilled in the North Rumaila oil field in southern Iraq.