Reservoir
Industry experts at URTeC assessed more than a decade of unconventional growth while discussing where productivity gains will come from next.
The technology has passed its first phase of qualification, with 84 nodes placed on the seafloor at a depth of 2,000 m to acquire 4D seismic data in the pre-salt Santos Basin.
Chevron and Halliburton describe how they built and deployed the fully autonomous closed-loop fracturing system that enables subsurface-driven optimization.
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This paper presents key challenges in surface-facilities-project implementation during the construction and operational-readiness phase of a project and presents results from full-field implementation. -
This paper provides an overview of all enhanced-oil-recovery (EOR) projects in the Greater Prudhoe Bay (GPB) region and presents the process and methodology for MI allocation to these projects and to individual injection patterns.
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Significant progress in cost reduction has been made in the industry following the price downturn, not only in the direct cost of construction and operations but also through a determined drive to simplify and streamline new projects in concepts selected for facilities and wells.
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There is increasing interest in drilling the Austin Chalk formation, with hopes that the latest unconventional development methods can deliver a boom in a play that has seen several over a 90-year history.
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The implementation of chemical EOR has proven successful but the method faces significant technical and financial challenges.
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This paper presents a critical review of the recent literature to determine the status of research and development and field application of nanotechnology in the oil field.
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This paper will describe how one integrates a comprehensive methodology of data-mining techniques and artificial neural networks (ANNs) in reservoir-petrophysical-properties prediction and regeneration.
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Three major finds have shattered assumptions about what is possible in the most explored parts of Alaska’s North Slope.
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A fast, integrated reservoir modeling tool used by Eni at Norway’s Goliat field generated an ensemble of models that helped confirm the location of previously identified infill drilling targets and identify several new infill locations.
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We report a novel type of viscosity modifier relying on the supramolecular assemblies that have pH-adjustable viscosities and robust tolerance against high temperatures and salinities, and are resistant to shear-induced degradation.
