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2004年,在印度拉贾斯坦邦发现了Mangala、Aishwariya和Bhagyam油田。在这些高渗透率的石蜡基油藏中,原油黏度是影响油藏动态的一个主要因素。PVT资料显示,在横向上和纵向上原油性质是变化的。使用水基泥浆和合成油基泥浆钻井的井,可以使用核磁共振连续测井和核磁共振黏度定点测井得到的特性参数来计算黏度剖面。本文讨论了所有相关的技术方法,并且说明核磁共振测井是如何在组分复杂的油藏中获取原油黏度剖面的。通过黑油PVT取样有代表性地对几米的储层进行了测试,而在一米层段获取了拉贾斯坦邦的地球化学资料。核磁共振测井提供了连续的测井资料,通过PVT和地化资料校正,能够提供最详细的地下原油黏度变化剖面图。用这个结果建立了一个油藏中地下原油黏度详细的空间描述。核磁共振资料帮助确定了油水界面上生物降解油带的厚度(约为25m),并且显示,在含油高度内,在较小页岩层的顶部有高黏度原油的稀薄聚集。电缆测井技术可以快速准确地计算原油黏度剖面,并且可以减少耗时的地球化学测量的应用。结论直接影响了拉贾斯坦邦油田的静态和动态模拟,并且提出了注水开发计划(每个油田有不同的开发方案)。描述的方法通常可用于有相似数据资料的油藏。
In 2004, the Mangala, Aishwariya and Bhagyam fields were discovered in Rajasthan, India. In these high permeability paraffinic reservoirs, the viscosity of crude oil is a major factor affecting reservoir dynamics. PVT data shows that the properties of crude oil vary both horizontally and vertically. A well drilled with water-based mud and synthetic oil-based mud can be used to calculate the viscosity profile using continuous NMR and NMR-NMR logging data. This article discusses all the relevant technical methods and shows how nuclear magnetic resonance logging can obtain crude oil viscosity profiles in complex reservoirs. Several meters of reservoirs were typically tested using black oil PVT samples, while geochemical data from Rajasthan were acquired over a one-meter interval. Nuclear magnetic resonance logging provides continuous logging data, corrected by PVT and geochemical data, to provide the most detailed profile of changes in the viscosity of underground crude oil. Use this result to establish a detailed spatial description of the viscosity of the underground crude oil in the reservoir. NMR data helped determine the thickness of the biodegraded oil zone (about 25 m) at the oil-water interface and showed that there was a thin accumulation of high viscosity crude oil at the top of the smaller shale layer within the oil height. Cable logging technology enables the accurate and accurate calculation of crude oil viscosity profiles and can reduce the time-consuming application of geochemical measurements. The conclusion has a direct impact on the static and dynamic simulations of the Rajasthan field, and has proposed a waterflood development plan (with different development options for each field). The methods described are generally applicable to reservoirs with similar data.