Reservoir characterization
This work investigates the root cause of strong oil/water emulsion and if sludge formation is occurring within the reservoir using a robust integrated approach.
In this work, a perturbed-chain statistical associating fluid theory equation of state has been developed to characterize heavy-oil-associated systems containing polar components and nonpolar components with respect to phase behavior and physical properties.
The paper describes a parameter inversion of reservoirs based on featured points, using a semi-iterative well-test-curve-matching approach that addresses problems of imbalanced inversion accuracy and efficiency.
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Companies are using an increasing number of sound shots to gather more data in a shorter time frame.
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Developing the Mad Dog discovery appeared to be high-risk because of the difficulty in mapping the subsurface because of the thick layer of salt underlying the region.
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The pursuit of sweet spots in unconventional oil and gas plays is driving the creation of an emerging set of data-driven systems to measure, map, and predict how wells will perform in unconventional reservoirs.
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Permanent downhole gauges (PDGs) provide vast amounts of pressure-transient and rate data which may be interpreted with improved pressure-transient-analysis (PTA) approaches to gain more knowledge about reservoir dynamics.
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This paper focuses on the aspects of proppant selection and adequate fracture-conductivity placement, with the goal of improving well productivity and cumulative recovery.
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This paper provides a more straightforward method for estimating stress-dependent permeability and capillary pressure in rock fractures.
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In hydraulic fracturing, the use of diagnostic-fracture-injection tests (DFITs) can provide valuable information.
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When it comes to fracturing, experts argue about many things, but they agree that fractures do not look like lightning bolts, tree roots, or shattered glass.
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A new miniature pressure/temperature sensor comes packaged inside a tough small ball capable of traveling to the bottom of a well while drilling and returning with data on board.
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Although principal-component analysis (PCA) has been applied widely to reduce the number of parameters characterizing a reservoir, its disadvantages are well-recognized.