Enhanced recovery
This paper presents a novel workflow with multiobjective optimization techniques to assess the integration of pressure-management methodologies for permanent geological carbon dioxide storage in saline aquifers.
This paper reviews lean construction management processes adopted in the Apani Field development, from facility design to construction management and drilling-location preparation.
This study integrates physics-based constraints into machine-learning models, thereby improving their predictive accuracy and robustness.
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This study aims at understanding the effect of a surfactant known as a high-temperature emulsifying agent as an additive to the steam-assisted gravity drainage process and the possibility of forming oil-in-water emulsions. -
This paper describes the implementation of a hybrid technology of cyclic steam stimulation and foam into the heavy oil field development plans of the Middle Magdalena Valley basin in Colombia.
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The long, successful history of various metallurgies in EOR wells has been cited as sufficient to allow the same completions for CCS injection wells. The lack of actual data on the long-term performance of these alloys in EOR wells in combination with the more-stringent requirements for Class VI wells suggests otherwise.
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In this paper, the effect of cold-water injection on pressure transient analysis (PTA) of geothermal reservoirs is studied by varying the temperature of the injected cold water from room temperature to reservoir temperature.
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The authors of this paper present an advanced dual-porosity, dual-permeability (A-DPDK) work flow that leverages benefits of discrete fracture and DPDK modeling approaches.
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This study presents a novel approach to screen thermally stable surfactants at high pressures and high temperatures for the explicit purpose of wettability alteration in the operator’s Eagle Ford acreage.
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These papers underscore the industry’s shift toward more efficient practices, each contributing a crucial piece to the larger puzzle of EOR.
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The authors of this paper present a machine-learning-based solution that predicts pertinent gas-injection studies from known fluid properties such as fluid composition and black-oil properties.
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This paper presents a novel sustainable cost-effective method developed to scale up synthesis of Janus carbon nanoparticles from waste plastic feedstock by combined pyrolysis, chemical functionalization, and pulverization.
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In this paper, the authors evaluate the simultaneous optimization of CO2 storage and oil recovery using multiple injection strategies.
