Unconventional/complex reservoirs
The company credited its theory of shale oil enrichment for the significant increase in the quantity of proven reserves at the field.
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.
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This paper highlights an approach of using active hydrogen to stimulate hard-to-recover formations from candidate-well selection through pilot execution and evaluation. -
This study describes a technique combining borehole acoustic reflection imaging with production logging in a horizontal well experiencing high water cut with the aim of enabling a mitigation plan.
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The authors investigate the utility of applying unconventional technology to low- or variably producing carbonate reservoirs to increase estimated ultimate recovery and decrease development-scale variability.
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Unconventional reservoirs bear a unique perplexity in that, at every scale, they are different from their conventional counterparts and even one another. This month’s selection of papers is all about those differences.
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The acquisition underscores the rapid rise of the unconventional oil play in northeastern Utah that producers claim offers better margins than the Permian Basin.
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Pilots and papers are plentiful, but the shale sector has no big enhanced oil recovery projects to speak of. It may just have to stay that way for a while.
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Operators tell an audience at the Unconventional Resources Technology Conference how a hybrid expandable liner system and machine-learning-based analysis improve the bottom line.
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After another year of significant consolidation in the US shale sector, Enverus has released its annual list of the nation's largest private exploration companies.
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Machine learning is refining gas lift production optimization with scalable automated workflow.
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The Permian’s produced-water challenge presents an opportunity for innovation to pave the way toward a more sustainable future for the industry.
