Unconventional/complex reservoirs
This paper aims to assess the effectiveness of using advanced integrated production-data-analysis techniques for condensate-rich tight gas fields.
This case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.
This case study presents a procedure in which the operator compared production from wells with adjusted wettability to a control group, finding that the adjustments resulted in significant improvements in production and reductions in produced water.
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This paper presents a well-integrity-management system developed for a high-pressure/high-temperature gas field in southwest China. -
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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The paper highlights two case studies to illustrate successful development of marginal prospects to unlock remaining potential.
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This paper introduces methods to fully couple reservoir simulation with wellbore flow models in fractured injection wells.
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A rigless chemical frac-hit remediation process was designed to address the damage mechanisms of capillary phase trapping, reduced hydrocarbon relative permeability, paraffin deposition, and minor scale deposition.
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The disruptive nature of unconventional reservoirs has spurred the need for new ideas. But that doesn’t always mean that we need to toss out the traditional methods that got us here. Such might be the case for the recent developments unfolding around the diagnostic fracture injection test (DFIT).
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The paper demonstrates the ability of deep-learning generative models to enable new shale-characterization methods.
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A new dose of constraint may just be the best prescription for those making reserves estimates on prospective unconventional resources.
