Completions
Sponsored
This case study by CNOOC and Halliburton highlights how enhanced multizone sand control treats eight unequal zones in one trip and reduces completion time by 60 hours in Bohai Bay, China.
This paper presents the application of degradable particulate-diverter technology to improve oil production by effectively diverting stimulation treatment fluids away from high-water-cut, high-permeability, high-temperature producing intervals or zones.
This paper focuses on a replicable, quantitative workflow using completions-process simulation software.
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This paper provides examples for planning and execution of primary and remedial managed pressure cementing in deepwater drilling operations. -
This paper presents a lost-circulation model used during design and job-evaluation phases to accurately predict top of cement and equivalent circulating densities.
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SponsoredAs operators strive to increase production under tighter budgets, traditional downhole diagnostics are falling short—too costly, complex, and time-consuming. Seismos Acoustic Friction Analysis (SAFA) offers a smarter, surface-based alternative. This white paper explores how SAFA enables real-time treatment optimization, better fracture performance, and substantial cos…
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TechnipFMC, in collaboration with Halliburton, was awarded the 2025 ICoTA Intervention Technology Award and received the 2025 Curtis Blount Outstanding Paper Award.
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To enable a fully interventionless approach, a barrier-rated tubing-hanger valve has been developed to eliminate slickline intervention and minimize associated risks and operational time.
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This paper aims to present thoroughly the application of subsurface safety injection valves in extremely high-temperature environments.
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Advanced tracer technology was deployed in Oklahoma to analyze production across lateral well sections.
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After 5 years of in-depth diagnostic research, the Oklahoma City-based operator shares more insights on fracture behavior.
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This paper introduces a novel optimization framework to address CO2 injection strategies under geomechanical risks using a Fourier neural operator-based deep-learning model.
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The technology, which uses Industrial Internet of Things components, aims to reduce the costs and improve the safety of drilling operations.
