Completions
Field examples from the Bakken Shale and Permian Basin illustrate the benefits of deploying polymer-coated and uncoated scale inhibitors in unconventional wells.
SLB is introducing a new electric well-control system to replace larger conventional, fluid‑controlled hydraulic equipment.
Natural gas-powered electric fleets look to pave the way for the next generation of power generation.
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This paper addresses the deployment of an external protective coating with a rough surface profile in wells identified as susceptible to common cementing issues. -
This paper provides examples for planning and execution of primary and remedial managed pressure cementing in deepwater drilling operations.
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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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