Reservoir
This paper presents a multifaceted approach leveraging precise rig control, physics models, and machine-learning techniques to deliver consistently high performance in a scalable manner for sliding.
This paper compares deep transient testing with drillstem testing in a high- and low-permeability gas reservoir, including test-selection implications and best practices.
This paper proposes a novel approach toward drilling maximum-reservoir-contact wells by integrating automated drilling and geosteering software to control the downhole bottomhole assembly, thereby minimizing the need for human intervention.
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A final investment decision is also expected by year end for the company’s first low-carbon data center project. -
Malampaya East discovery is estimated to hold 98 Bcf of gas and may help offset declines at the country’s only producing gas field.
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The acquisition adds 2.1 Bcf/D of production and pipeline infrastructure in Texas and Louisiana.
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The new assessment also estimates 28.3 Tcf of technically recoverable gas in the Woodford and Barnett shales.
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This paper addresses the difficulty in adjusting late-stage production in waterflooded reservoirs and proposes an integrated well-network-design mode for carbon-dioxide enhanced oil recovery and storage.
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This work presents the development of fast predictive models and optimization methodologies to evaluate the potential of carbon-dioxide EOR and storage operations quickly in mature oil fields.
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The authors of this paper apply a deep-learning model for multivariate forecasting of oil production and carbon-dioxide-sequestration efficiency across a range of water-alternating-gas scenarios using field data from six legacy carbon-dioxide enhanced-oil-recovery projects.
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This paper assesses the technical feasibility of geological carbon storage in the operator’s Brazilian brownfields, focusing on mature oil fields and associated saline aquifers.
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As the industry accelerates carbon capture, use, and storage initiatives, modeling innovations for carbon-dioxide injection and enhanced oil recovery have become critical for optimizing recovery and ensuring secure storage. Recent studies highlight a shift toward data-driven and hybrid approaches that combine computational efficiency with operational practicality.
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Operators are turning to new gas-lift and nanoparticle-fluid technologies to drive up production rates.
