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Determining Reservoir Connectivity and Compositional Grading by Mapping Asphaltene Gradients

机译:通过映射沥青质梯度确定储层连通性和组成分级

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Many techniques are used in industry to determine reservoir hydraulic connectivity from static data. These can be rock-based techniques such as seismic mapping, well to well correlations and geological modeling. Or they can be fluid based techniques such as pressure and fluid gradients. Fluid pressure gradients acquired with formation testers have long been popular but they are understood to be able to identify a lack of connectivity and cannot necessarily prove the presence of connectivity. Recent work has shown that mapping fluid gradients can be much more definitive. For light fluids this mapping is based on the gas-oil ratio (GOR). For heavier fluids, with little GOR variation, this technique requires mapping a different parameter. It has been suspected that asphaltene content was the parameter to map, but until recently the science of asphaltene prediction was unclear. Recent advances in asphaltene science have now clarified the mechanism for asphaltene distribution in the reservoir and gradient prediction is now possible. And most fortunately it turns out that the asphaltene gradient is relatively easy to measure in-situ. In this paper we present the science behind asphaltene gradient prediction and show how fluid gradients are a superior way to infer reservoir connectivity. We then present data from an Eastern Siberia oilfield where asphaltene gradients are determined in-situ with a wireline formation tester. These gradients are verified by later comparison to laboratory measurements. Finally and most importantly, we show also how the asphaltene content is used to predict reservoir connectivity both vertically and laterally.
机译:工业中使用许多技术来确定静态数据的储层液压连接。这些可以是基于岩石的技术,如地震测绘,以及良好的相关性和地质模拟。或者它们可以是基于流体的技术,例如压力和流体梯度。用形成测试仪获得的流体压力梯度长期很受欢迎,但它们被理解为能够识别缺乏连通性,并且不一定必须证明存在连接的存在。最近的工作表明,映射流体梯度可能更加明确。对于光流体,该映射基于气体油比(GOR)。对于较重的液体,具有很少的GOR变化,该技术需要映射不同的参数。据怀疑,沥青质含量是映射的参数,但直到最近,沥青质预测的科学尚不清楚。现在阐明了沥青门科学的最新进展阐明了储存器中沥青质分布的机制,现在是梯度预测。最幸运的是,事实证明,沥青内梯度相对容易测量原位。在本文中,我们将科学呈现出沥青项梯度预测的科学,并展示流体梯度如何是推断储层连通性的高级方式。然后,我们从东方西伯利亚油田提供数据,其中沥青内梯度与有线形成测试仪原位确定。通过稍后与实验室测量进行验证这些梯度。最后,最重要的是,我们还表明了沥青烯含量如何用于预测垂直和横向的储层连通性。

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