Reservoir
The technology has passed its first phase of qualification, with 84 nodes placed on the seafloor at a depth of 2,000 m to acquire 4D seismic data in the pre-salt Santos Basin.
Chevron and Halliburton describe how they built and deployed the fully autonomous closed-loop fracturing system that enables subsurface-driven optimization.
This article from the SPE Integrated Reservoir Management Technical Section (IRMTS) addresses decision timing across the reservoir cycle.
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This paper presents a well-integrity-management system developed for a high-pressure/high-temperature gas field in southwest China.
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Deal expands PDC's D-J Basin holdings into northern Adams County, Colorado.
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Rodolfo Camacho-Velázquez identifies areas of opportunity for future reservoir engineers related to the technical challenges of increased production and recovery of complex conventional and unconventional reservoirs, the application of Fourth Industrial Revolution technologies in reservoir subdisciplines, and the energy transition.
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The acquisition adds well completions services for conventional and unconventional reservoirs.
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Houston-based startup Cemvita Factory is launching a project to produce near-zero-carbon gold hydrogen by injecting oil-eating microbes into depleted crude reservoirs.
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The COVID-19 pandemic naturally has affected SPE meetings, causing many to be rescheduled or postponed indefinitely, but SPE papers continue to be a crucial source of technical knowledge. The selected papers explore simple and complex innovative approaches toward reservoir characterization to work around the absence of certain data.
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The authors describe an integrated multiscale data methodology involving machine-leaning tools applied to the Late Jurassic Upper Jubaila formation outcrop data.
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The authors describe a logging-while-drilling nuclear-magnetic-resonance method applied in Bohai Bay, China, as an alternative to radioactive source-porosity measurements.
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The authors develop a collocated finite-volume method to study induced seismicity as a result of pore-pressure fluctuations.
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This paper describes the application of a synthetic seismic-catalog-generation method followed by application of a neural network on a seismic data set for an oil-producing field in the North Sea.