Reservoir
The next wave of unconventional growth will likely come from basins in Argentina, the Middle East, Australia, and elsewhere, fueled by expertise gained from shale plays in North America.
Industry experts at URTeC assessed more than a decade of unconventional growth while discussing where productivity gains will come from next.
The technology has passed its first phase of qualification, with 84 nodes placed on the seafloor at a depth of 2,000 m to acquire 4D seismic data in the pre-salt Santos Basin.
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Foams have proved to be efficient at temporarily blocking high-conductivity layers and improving gas-injection conformance and sweep efficiency in predominantly matrix reservoir systems, at least in laboratory and field pilot tests. -
What a difference a year can make! Back in June 2014, when the EOR Operations feature last appeared in JPT, Brent was trading at more than USD 100/bbl.
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This paper presents performance, results, and learnings from the first solar enhanced-oil-recovery (EOR) project in the Middle East/North Africa region
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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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A project to predict how much carbon dioxide injected into an oil field is likely to remain there forever set off the US Department of Energy (DOE) on a search for faster data analysis methods.
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As shale operators look for ways to survive amid the current downturn in oil prices, accelerating the refracturing of older horizontal wells is turning into one of the most attractive options.
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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.
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As the role of reservoir-flow simulation increasingly affects existing operations and field-development decisions, it follows that rigor, fitness, and consistency should be imposed on the calibration of reservoir-flow models to dynamic data through history matching.
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Nowadays, there is a wealth of history-matching methods. As a result, we observe that it is becoming a common industrial practice to generate multiple history-matched models, even for fairly complex problems with thousands of uncertainty variables and a large amount of data.
