Well intervention
This paper aims to establish a set of best practices for generating particle-size-distribution data from core samples.
As the pace of new discoveries slows and high-quality prospects become harder to find, oil companies may need to rely more heavily on mature fields to maintain production and support future supply.
This paper documents the testing, integration, and field deployment of a metal expandable packer used as an openhole toe isolation plug in a deepwater well under high-pressure, high-temperature conditions.
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The authors reach conclusions that the industry should define a standard testing method to improve swelling performance, including validation of repeatability, to complement existing guidelines. -
The authors write that by replacing outdated, labor-intensive processes with an integrated, cloud-based platform, companies can streamline planning, improve accuracy, and foster better coordination across teams and vendors.
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This paper describes an approach to creating a digital, interconnected workspace that aligns sensor data with operational context to place the completions engineer back into a central role.
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This paper demonstrates how the integration of multiphysics downhole imaging with machine-learning techniques provides a significant advance in perforation-erosion analysis.
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This paper presents a workflow that leverages a multiagent conversational system to integrate data, analytics, and domain expertise for improved completion strategies.
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The operator developed a solution that has kept the well at stable production for over a year after treatment.
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SponsoredUnwanted water production can erode well performance and asset economics if left unmanaged. Interwell’s precision water shutoff approach, grounded in diagnostics and engineered isolation, helps operators identify water-entry points, protect hydrocarbon flow, and restore sustainable well performance in mature and complex wells.
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This paper provides an account of the design, implementation, and operational insights from an enhanced geothermal system proppant stimulation targeting a volcanic, dry rock setting with an approximately 330°C bottomhole temperature.
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This paper presents a robust workflow to identify optimization opportunities in gas lift wells through real-time data analysis and a surveillance-by-exception methodology.
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This paper introduces an agentic artificial-intelligence framework designed for offshore production surveillance and intervention.
