Methodology to define hydrocarbon potential in a shale reservoir based on geochemical data and well logs

Ludy Amparo Gutiérrez Torres, Luz Diana Molina Gómez, Helena Margarita Ribón Barrios, Aristóbulo Bejarano, T. M. J. Lemus
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引用次数: 1

Abstract

The office U.S. Energy Information Administration (EIA) has suggested significant volumes of hydrocarbon resources in unconventional Shale type reservoirs, which happens to be very interesting nowadays. The complexity of these reservoirs, along with the high level of risk during the exploration stage, and the lack of laboratory data, are challenging for an adequate estimation of hydrocarbon volumes in shale reservoirs.  An innovative methodology to estimate prospective resources on a Shale reservoir is proposed in this paper, based on petrophysical and geochemical data from well logs, such  as  porosity,  hydrocarbon  saturation,  TOC  (total organic content), gas content, thermal rock maturity, clay fraction, thickness, rock density, etc, all of them using Monte Carlo simulation. Further, this paper proposes a new way of interpreting petrophysical data to obtain a clearer view  of  reservoir  characterization,  especially  Brittleness,  which  is  of  great relevance to define the potential of fracturing and hydrocarbon production. The methodology was applied to  the  Tablazo  Formation  in  the Middle  Magdalena  Valley  Basin (MMVB) in Colombia. The results show a total best estimate of oil in place (OOIP) of 51 637 Bls/acre, gas adsorbed in place 39.72 Mcf/acre, and free gas in place of 177.18 MCF/acre. Comparing these results with those obtained by  applying other methodologies,  the best estimates of oil in place is 146 933 Bls/acre, gas adsorbed in situ 40.57 MCF/acre, and free gas in place of 504.07 Mcf/acre. Data reported in the literature, on the same area, corroborate these results. To conclude, with this methodology a new approach is achieved for estimating prospective resources in Shale reservoirs with better results using the Monte Carlo simulation.
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基于地球化学数据和测井资料确定页岩储层油气潜力的方法
美国能源情报署(EIA)办公室表示,非常规页岩类型储层中有大量的碳氢化合物资源,这是目前非常有趣的。这些储层的复杂性、勘探阶段的高风险以及实验室数据的缺乏,给页岩储层油气储量的充分估计带来了挑战。本文提出了一种创新的页岩储层远景资源预测方法,该方法基于测井资料中的岩石物理和地球化学数据,如孔隙度、烃饱和度、总有机含量、含气量、热岩成熟度、粘土组分、厚度、岩石密度等,并采用蒙特卡罗模拟方法进行预测。此外,本文提出了一种新的岩石物理数据解释方法,以获得更清晰的储层特征,特别是脆性特征,这对确定压裂潜力和油气生产具有重要意义。该方法应用于哥伦比亚中部Magdalena山谷盆地(MMVB)的Tablazo组。结果表明,该油藏的总最佳储量为51 637亿桶/英亩,天然气储量为39.72亿立方英尺/英亩,游离天然气储量为177.18亿立方英尺/英亩。将这些结果与采用其他方法获得的结果进行比较,最佳的估算结果是:原位原油储量为146 933亿桶/英亩,原位吸附气储量为40.57亿桶/英亩,游离气储量为504.07亿桶/英亩。在同一地区的文献中报告的数据证实了这些结果。综上所述,该方法为页岩储层预估资源提供了一种新的方法,通过蒙特卡罗模拟获得了更好的结果。
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