Reservoir
This study investigates the potential for in-situ hydrogen generation from hydrocarbons using in-situ combustion, with particular emphasis on the role of kerogen content and heating mode.
This paper presents the application of degradable particulate-diverter technology to improve oil production by effectively diverting stimulation treatment fluids away from high-water-cut, high-permeability, high-temperature producing intervals or zones.
This study presents applications involving the use of calcium carbonate particles for conformance improvement for CO2 water-alternating-gas injection in the operator’s Permian enhanced-oil-recovery projects.
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Seismic technology continues to progress at a remarkable pace, driven by advances in artificial intelligence, imaging, interpretation, monitoring, and the expansion of seismic applications across the wider energy sector. One clear trend is the industry’s move toward high-frequency and ultrahigh-resolution seismic, which has pushed the limits of what can be resolved in… -
This paper describes rock-compressibility correlations for carbonated naturally fractured reservoirs in Mexico that considers a range of important geological and dynamic aspects.
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This paper offers an exploration into the field applications of multiphase flowmeters (MPFMs) across global contexts and the lessons learned from implementation in a smart oil field that uses several types of MPFM.
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A final investment decision is also expected by the end of the year for the company’s first low-carbon data center project.
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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.
