Enhanced recovery
SPE Journal is seeking submissions for a special issue on sustainable enhanced oil recovery (EOR), highlighting innovations that boost oil recovery while reducing CO2 emissions and environmental impact. The Call for Papers opens on 15 October 2026.
By integrating experimental and mathematical modeling approaches, this work aims to advance the understanding of sand-detachment dynamics and formation instability under varying saturation conditions.
As Egypt’s largest oil and gas investor, Eni is ramping up its 2026–2027 drilling campaign with new investments cross the Mediterranean offshore, Nile Delta, Western Desert, and offshore Sinai to strengthen the country’s role as a regional gas and LNG export hub.
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The complete paper discusses the importance of adequate preparation and the approaches used to overcome challenges of EOR operations, including handling back-produced polymer. -
GlassPoint Solar was founded in 2008 to replace the use of natural gas for steamflooding heavy-oil reservoirs. But amid low energy prices, its chief investor has decided to pull the plug for good.
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Steam-assisted gravity drainage (SAGD) performance in bitumen-recovery projects in Alberta is affected by geological deposits, reservoir quality, and operational experience.
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Although polymer flooding has become a promising enhanced oil recovery (EOR) technique, no field tests have been performed to date in Alaska’s underdeveloped heavy-oil reservoirs.
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In this episode, we discuss the state of shale EOR in the US and what hydrocarbon producers need to know about seperator oil shrinkage.
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Heavy production spiked in two Canadian wells heated by an electric cable, but it is hard to find customers there at a time when Canadian oil prices and customers remember cables in the past that died young.
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In this paper, the authors consider the effect of water chemistry on water/rock interactions during seawater and smart waterflooding of reservoir sandstone cores containing heavy oil.
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The bulk of the literature on enhanced oil recovery from the past year has been devoted to an improved understanding of trends started more than a decade ago with physical and numerical modeling.
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This paper updates a previous case study and presents the results of actual implementation of an optimized steam-injection plan based on the model framework.
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The objective of this study is to show how the capacitance-resistance model (CRM) was used on this field and how it validated the use of other independent methods. This paper demonstrates that integration of different sources of data in reservoir management is critical.
