Reservoir characterization
This work investigates the root cause of strong oil/water emulsion and if sludge formation is occurring within the reservoir using a robust integrated approach.
In this work, a perturbed-chain statistical associating fluid theory equation of state has been developed to characterize heavy-oil-associated systems containing polar components and nonpolar components with respect to phase behavior and physical properties.
The paper describes a parameter inversion of reservoirs based on featured points, using a semi-iterative well-test-curve-matching approach that addresses problems of imbalanced inversion accuracy and efficiency.
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The author writes that the generally accepted Knudsen diffusion in shales is based on a mistranslation of the flow physics and may give theoretically unsound predictions of the increased permeability of shales to gas flow.
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The technology will provide Equinor a continual feed of updated reservoir information from its Johan Castberg and Johan Sverdrup fields with the aim of improving well placement, production, injection, and—ultimately—recovery.
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Shale explorers run very few logs into horizontal wells, making it difficult to understand the effects of reservoir depletion in tightly spaced wells. This new technology is trying to change that.
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This paper aims to develop new and improved empirical viscosity correlations through available field measurements on the Norwegian Continental Shelf (NCS).
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Recently, a lot of discussion has revolved around the benefits of multilaterals in unconventional reservoirs, but is it truly the next breakthrough for the industry, or is it all hype?
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The Norwegian operator’s disclosure marks the first time all subsurface and production data from a field on the NCS will be available for public viewing.
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Understanding the behavior of subsea reservoirs traditionally takes months and millions of dollars. A new company says it can do this with a very targeted way in less than a week, for only thousands of dollars.
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Total is expanding its development and use of artificial intelligence to bolster its exploration work, collaborating with Google Cloud—which is stepping up its presence in the oil and gas industry.
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An ensemble-based 4D-seismic history-matching case is presented in the complete paper. Seismic data are reparameterized as distance to a 4D anomaly front and assimilated with production data.
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Indy Chakrabarti, senior vice president of product management and strategy at Emerson Automation Solutions talks about developments in software solutions for the oil and gas industry.