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Cave System Analysis - An Effective Approach to Predict Hydrocarbons in Cavernous Carbonate Reservoir

机译:洞穴系统分析 - 一种预测海绵体储层中碳氢化合物的有效方法

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Paleo krast caves, even deeply buried over 5000 meters, are important exploration targets in Tarim Basin west China. In seismic, large caves could be well observed as strong amplitude anomalies and are characterized as “string of beads” in legacy seismic data. They have dominated the production and reservers of the Ordovician carbonate reservoirs. Successful drilling on these targets quite depends on reliable prediction of fluid types in these karst caves. But seismic hydrocarbon detection has a high uncertainty due to the high variation in cave geometry and the low seismic resolution in deeply-buried carbonate. To improve drilling success rate, cave-system analysis approach was developed in our study as an effective approach to predict hydrocarbons in cavernous carbonate reservoir. Hundreds of paleo-caves have been seismically interpreted. Based on extending tendency of individual cave interpretation, the connections are delineated between caves forming multi-level and multi-branch cave systems through study area. These complex cave systems could be analog to the Mammoth Cave. This analog suggests that most caves in study area were connected during their development time. They are now much less connected due to sediment infilling and collapsing. Within the cave systems, the cave entrances, exits, collapses and relative high points of the cave systems are identified to provide the underpinnings for predicting cave fillings and fluid types, with the support from detailed structural mapping, paleo-topography study, production performance diagnosis, and seismic inversion/ attribute evaluation. Several hundreds of oil-bearing caves are predicted within the study area, providing the main basis for drilling plan. New drilling has led to several high productive wells after two year’s unsuccessful drilling in study area.
机译:Paleo Krast Caves甚至深埋在5000多米,是塔里木盆地西部的重要探索目标。在地震中,大洞穴可以很好地观察到强振幅异常,并且被称为遗留地震数据中的“珠子串”。他们主导了奥陶艺碳酸盐储层的生产和储备金。成功钻探这些目标取决于这些岩溶洞中的流体类型的可靠预测。但由于洞穴几何形状的高变化和深埋碳酸盐中的低地震分辨率,地震烃检测具有高的不确定性。为了提高钻井成功率,我们的研究开发了洞穴系统分析方法,作为预测海绵状碳酸盐储层中烃的有效方法。数百种古洞穴已经被解释道。基于个体洞穴解释的延伸趋势,通过研究区域形成多级和多分支洞穴系统之间的洞穴之间的连接。这些复杂的洞穴系统可以是猛犸洞的模拟。该模拟表明,研究区域的大多数洞穴在开发时间内连接。由于沉积物infilling和崩溃,它们现在的连接得多。在洞穴系统内,识别洞穴系统的洞穴入口,出口,折叠和相对高点,以提供用于预测洞穴填充物和流体类型的支撑,并具有详细的结构映射,古地形研究,生产性能诊断的支持和地震反演/属性评估。研究区域内预测了几百颗含油洞,为钻井计划提供了主要基础。在研究区钻探两年不成功后,新钻孔导致了几井。

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