Reservoir
This paper presents a novel reservoir engineering/reservoir simulation approach—a data-driven interwell-connectivity model augmented as a digital twin—to predict reservoir dynamics and optimize operations in the Changqing oil field of China.
This work uses a novel pseudosteady-state-based simulation to reduce training-data-generation cost while maintaining high-performance predictions of data-driven proxy models for carbon-sequestration projects.
This case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.
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The US producer also closed its acquisition of assets in the Permian through a deal with Primexx. -
The gas-focused producer said it will turn its attention to drilling programs on its Haynesville acreage.
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This paper describes a technology with the capability to map and detect lithology changes ahead of the bit in real time.
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Friction reducers play multiple critical roles in fracturing. A challenge in selecting the best one for the job is the growing evidence that performance varies, but objective performance measurements are lacking.
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The paper describes an integrated work flow to apply autonomous inflow-control devices successfully in an offshore heavy-oil reservoir with significant uncertainty in remaining oil thickness and water/oil contacts.
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This paper details new technologies and work flows implemented for Australian offshore wells to improve drilling efficiency while managing associated risks.
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The paper demonstrates the application of an interpretable machine-learning work flow using surface drilling data to identify fracable, brittle, and productive rock intervals along horizontal laterals in the Marcellus shale.
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This paper describes the findings of a root-cause analysis of wellhead-penetrator failures in Canadian steam-assisted gravity-drainage operations and the mitigation measures taken.
