Unconventional/complex reservoirs
Industry experts at URTeC assessed more than a decade of unconventional growth while discussing where productivity gains will come from next.
Chevron and Halliburton describe how they built and deployed the fully autonomous closed-loop fracturing system that enables subsurface-driven optimization.
The deal adds physics-based reservoir modeling and real-time decision workflows to SLB’s digital portfolio.
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An asset swap with PDVSA helps consolidate the supermajor’s heavy-oil operations in the country. -
The multiyear contract with YPF includes electric pumping units and automated stimulation services.
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Conflict‑driven price gains may be offset by higher costs, supply‑chain risks, and a limited appetite for new drilling activity.
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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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Examples demonstrate how an Integrated Operations Center as a Service (IOCaaS) model, powered by artificial intelligence, reduced costs by 5% and increased production by 6% in Canada.
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This paper introduces a novel steam-sensitive flow-control device designed to restrict the production of steam and low-subcool liquids while allowing higher mobility of oil-phase fluids.
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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 study integrates laboratory testing with reservoir simulation to evaluate the effectiveness of autonomous inflow-control valves in managing late-life steam-assisted gravity-drainage production challenges.
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Findings from two new SPE papers argue that the tight-rock sector needs to rethink longstanding assumptions about how hydraulic fractures form underground.
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This paper demonstrates the effectiveness of integrating dynamic gas separation with existing gas-avoidance methods within the same electrical submersible pump string to address these issues.
