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Advanced Management in Dong Hetang Oil Field
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《China Oil & Gas》 CAS 1996年第1期41-41,共1页
AdvancedManagementinDongHetangOilFieldTheDongHetangoilfieldinTarimbasinofXinjiangregionismediuminsize.withoi... AdvancedManagementinDongHetangOilFieldTheDongHetangoilfieldinTarimbasinofXinjiangregionismediuminsize.withoilproductionof6000... 展开更多
关键词 Advanced management in Dong Hetang oil Field
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Assessing impact of oil spills in fairways in Chinese Bohai Sea with the impact matrix method
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作者 XIONG Le-hang LOU An-gang +1 位作者 ZHANG Xue-qing ZHANG Dong-liang 《Marine Science Bulletin》 CAS 2018年第2期1-16,共16页
The density of traffic in Bohai Sea of China is growing,so the evaluation of the impact of potential oil spills becomes necessary.However,the impact of potential oil spills at a large temporal-spatial scale has seldom... The density of traffic in Bohai Sea of China is growing,so the evaluation of the impact of potential oil spills becomes necessary.However,the impact of potential oil spills at a large temporal-spatial scale has seldom been studied.In this paper,the effects of potential oil spills in seven main fairways in Chinese Bohai Sea and the risks of five environmental sensitive areas(ESAs)being polluted are studied.A three-dimensional hydrodynamic model,coupled with Lagrangian particle tracking model,was constructed to simulate the transportation of oil spills.Hypothetical oil particles with an idealized,passive tracer were released along fairways and their transportation over20-day and180-day periods were simulated,respectively.An environmental impact matrix was built to reveal the relationship between oil spills in fairways and the pollution of ESAs.Results showed that in short term,Z4and Z5had high risk of being polluted by oil spills.Oil particles released along Fairways1,2and7had strong pollution effects.In long term,Z1,Z3,Z4and Z5had medium risk of being polluted.Oil particles released along Fairway3had strong pollution effects.This study might provide useful data to support marine environment protection. 展开更多
关键词 Bohai Sea environmental impact matrix management of oil spill statistical analysis
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Optimal Feedback Control of Oil Reservoir Waterflooding Processes 被引量:2
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作者 A.S.Grema Yi Cao 《International Journal of Automation and computing》 EI CSCD 2016年第1期73-80,共8页
Waterfiooding is a process where water is injected into an oil reservoir to supplement its natural pressure for increment in productivity. The reservoir properties are highly heterogeneous, its states change as produc... Waterfiooding is a process where water is injected into an oil reservoir to supplement its natural pressure for increment in productivity. The reservoir properties are highly heterogeneous, its states change as production progresses which require varying injection and production settings for economic recovery. As water is injected into the reservoir, more oil is expected to be produced. There is also likelihood that water is produced in association with the oil. The worst case is when the injected water meanders through the reservoir, it bypasses pools of oil and gets produced, Therefore, any effort geared toward finding the optimal settings to maximize the value of this venture can never be over emphasized. Waterflooding can be formulated as an optimal control problem. However, traditional optimal control is an open-loop solution, hence cannot cope with various uncertainties inevitably existing in any practical systems. Reservoir models are highly uncertain. Its properties are known with some degrees of certainty near the well-bore region only. In this work, a novel data-driven approach for control variable (CV) selection was proposed and applied to reservoir waterflooding process for a feedback strategy resulting in optimal or near optimal operation. The results indicated that the feedback control method was close to optimal in the absence of uncertainty. The loss recorded in the value of performance index, net present value (NPV) was only 0.26%. Furthermore, the new strategy performs better than the open-loop optimal control solution when system/model mismatch was considered. The performance depends on the scale of the uncertainty introduced. A gain in NPV as high as 30.04% was obtained. 展开更多
关键词 oil reservoir management intelligent wells optimal control theory feedback control geological uncertainty.
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