Reservoir characterization
Rock sample characterization, widely used in hydrocarbon exploration and production, is emerging as a critical tool for understanding and optimizing subsurface mineral extraction through in-situ leaching.
This paper presents laboratory-testing methods and evaluation criteria designed to improve understanding of both the origin and extent of formation damage associated with CO2 injection.
This work presents an evaluation for carbon capture, utilization, and storage projects in the UAE for two wells in a saline water aquifer with respect to caprock integrity and water sampling.
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Understanding well and reservoir performance is the ultimate goal of data gathering. -
This paper presents two real-field case studies from the Norwegian continental shelf that use available DFA data to support the assumptions made from other data on reservoir architecture between wells.
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A study was required to determine the origin of the tremor, evaluate if it could be followed by other tremors in the future, and estimate its magnitude.
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Applying a cutoff consists of defining a threshold value on one or more logs to separate the reservoir intervals in which hydrocarbons are mobile from the gross rock thickness.
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A US oil company is using its in-house laboratory's digital imaging devices to analyze reservoir rocks in new plays to answer questions raised by complex tight oil formations that cannot be answered using routine core testing methods.
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For decades, the industry has worked to realize the potential of gathering seismic data in wells. But it is a hostile environment for standard equipment. An inventor has developed a fiber optic system that can handle the heat, but he needs backers to see if it can deliver in the ground.
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For those in shale exploration, “fracability” is a real word, a critical property, and a point of contention.
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This paper describes the application of the iterative ensemble smoother to the history matching of the Norne field in the North Sea.
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In the past decade, there has been a great deal of research and progress in the development of computational methods to assist reservoir engineers in the arduous task of history matching their models.
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This paper presents an efficient history matching approach that simultaneously integrates 4D repeat seismic surveys with well production data.
