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Time Lapse Production Allocation Using Oil Fingerprinting for Production Optimization in Deepwater Gulf Mexico

机译:利用油指纹墨西哥水下海湾生产优化的时间流逝生产分配

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The variety and sophistication of upstream technologies have been growing fast for imaging the subsurface, modeling reservoir performance and monitoring oil and gas production. Yet there remains a fundamental need to thoroughly sample and analyze the produced reservoir fluids. Reservoir fluid analysis is critical for understanding the nature of produced hydrocarbons and is the key for production optimization. To gain the maximum value from this analysis, reservoir fluid sampling programs need to be well designed and integrated into well testing and reservoir surveillance programs, and not to be developed after. In one of Chevron's deep-water Gulf of Mexico (DWGOM) sub-salt fields, a robust geochemical sampling plan and production monitoring program has been in place since initial production to estimate the zonal contribution from individually stacked reservoirs. This surveillance work has been ongoing for 9 commingled wells over a period of 10 years. This paper presents the accuracy of time lapsed production geochemistry allocation and how the results can substantially impact and improve reservoir characterization and trouble shoot completion issues
机译:上游技术的种类和复杂性始于越来越快,可以在地下成像,建模水库性能和监测油和天然气生产。然而,仍然需要彻底样本和分析所产生的储层液体。储层流体分析对于了解生产的烃的性质至关重要,是生产优化的关键。为了获得该分析的最大值,水库流体采样计划需要精心设计并集成到井测试和水库监控程序中,而不是开发的。在距离墨西哥(DWGOM)的雪佛龙深水湾之一(DWGOM)亚盐领域,自最初产量以估计单独堆叠的水库的区内贡献已经到底,稳健的地球化学抽样计划和生产监测计划已经到位。这项监测工作已经在10年内持续了9个混合的井。本文介绍了生产地球化学分配的时间准确性以及结果如何显着影响和改善水库表征和故障拍摄完成问题

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