Reservoir
In a study that applied alternative carbon carrier technology to enhanced oil recovery (EOR) scenarios, researchers at The University of Texas at Austin found that the new method recovered up to 19.5% more oil and stored up to 17.5% more carbon than conventional EOR methods.
Casing deformation has emerged as a major challenge in China’s unconventional oil and gas fields, prompting the development of new solutions to address the issue.
This paper presents a novel methodology for assessing the rapid mineral carbonation of carbon dioxide through geochemical interactions with carbon-, magnesium-, and iron-rich minerals abundant in geological formations.
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Emerging three-axis microgravity technology has the potential to provide reservoir information not obtainable from other forms of data acquisition -
Algorithms are taking over the world, or so we are led to believe, given their growing pervasiveness in multiple fields of human endeavor such as consumer marketing, finance, design and manufacturing, health care, politics, and sports. The focus of this article is to examine where things stand in regard to the application of these techniques for managing subsurface en…
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The Norwegian oil company is exiting assets in North Dakota and Montana after a decade of development. A Houston-based private equity producer will take over the shale fields.
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Deciding whether to develop a new discovery is often about the data. Without the correct understanding of the fluids in the reservoir, projects are unlikely to turn out as planned.
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Russia’s Gazprom Neft Technologies is partnering with France’s SNF, the world’s largest maker of polyacrylamide, a polymer widely used in Chemical EOR. They aim to develop demand for chemical flooding technologies throughout Siberia.
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The two-well stimulation approach is delivering big savings to first adopters. A new report from Rystad highlights how the development is taking shape.
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The US oil giant is launching a new business unit that will boost its ability to reduce its own greenhouse gas emissions along with those of other industries.
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An openhole advanced formation-evaluation approach is presented that enables assessment of tight-matrix and natural-fracture systems at a level not previously accomplished.
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The authors develop an innovative machine-learning method to determine salt structures directly from gravity data.
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An appropriate work flow of combining suitable advanced technologies can help to overcome the long-standing challenges of sub-basalt imaging.
