Testing page for app
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The big data approach will allow new types of data-driven models to bypass traditional bottlenecks. It is also expected to lead to different views of standard models, thus providing new and valuable insights in the process.
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A tight gas carbonate reservoir with no oil rim in a supergiant onshore gas field in Abu Dhabi was targeted for stimulation during a field review to increase field production.
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An 18-well numerical-simulation model was built to represent an operator’s Lower Shaunavon waterflood-pilot area. Numerical simulation was used, and a history match on the pilot area was performed.
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Estimates of tight-reservoir hydrocarbon reserves continue to vary with uncertainty. What is known with certainty, though, is that current recovery rates are low and the upside is substantial.
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To optimize the development plan of a giant carbonate reservoir offshore Abu Dhabi to extend the production plateau and improve recovery, detailed sector models were used to facilitate the large number of required simulation runs.
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Oil quality and drilling-pad constraints for a viscous-oil field defined a development scheme that consisted of a waterflood line drive with horizontal producers and water-injection (WINJ) wells side by side.
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The ability to predict the effect of faults on locating remaining hydrocarbon is critical to optimal well-placement, reservoir-management, and field development decisions.
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To understand production from shale reservoirs, the role of hydraulically induced fractures, natural fractures, and their interaction in a formation must be captured.
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Sustained low oil prices have not yet had a significant effect on many universities’ research and development programs. For now, money allocated by the oil and gas industry in previous years is still available for many institutions.
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The chief technology officer tells why he is optimistic about the current oil price situation, how the market downturn could be an ideal opportunity for innovation and slashing costs, and what major technology trends will be expected in the near future.