Reservoir
A report commissioned by Havtil, the Norwegian Ocean Industry Authority, calls for better dialogue regarding pore-pressure uncertainty and higher-end drilling techniques like managed pressure drilling as methods to reduce the risk of well-control events.
The events will be co-located 3–5 May 2027 at Reliant Park in Houston, Texas.
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.
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The Diatomite reservoir in the Belridge field, California, has been under pressure-maintenance water injection to mitigate reservoir compaction and improve oil recovery. -
To increase the oil recovery in the Albacora field, significant water injection is required that was not considered in the initial project-development phases.
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The rapid growth in the development of unconventional shale resources has changed business-as-usual for onshore production equipment manufacturers and suppliers.
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Enhanced oil recovery processes, particularly offshore, create challenges for produced water treatment. This option reviews technology options and current applications.
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This paper describes an all-in-one system that combines nodal-analysis and numerical-simulation models to calculate the effect of intelligent-completion components—such as swell packers, internal control valves, and inflow-control devices—on lateral production profiles.
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The Kitan oil field consists of three subsea intelligent wells. The intelligent completions were modeled in detail using commercial dynamic-simulation software to establish a sound and safe operating procedure for the well cleanup and well test.
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Drilling, completing, and fracturing of unconventional-formation wells in North America have become commonplace for producing natural gas. It is less common to drill, complete, and fracture treat multiple lateral branches from a single main wellbore.
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A test-case study (Norne E-segment), based on field data of an offshore Norway brownfield, was organized to evaluate and compare mathematical methods for history matching and strategies for optimal production or enhanced oil recovery (EOR).
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A nonlinear orthogonal-matching pursuit (NOMP) for sparse calibration of reservoir models has been proposed. Sparse calibration is a challenging problem because the unknowns are the nonzero components of the solution and their associated weights.
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Reservoir simulation is essential in the decision-making process for the development and management of petroleum reservoirs. A simulation model can predict the reservoir behavior under various operating conditions.
