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A New Approach in Permeability and Hydraulic Flow Unit Determination

机译:一种新的渗透性和液压流动单元测定方法

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Building an integrated subsurface model is one of the main goals of major oil and gas operators to guide the field development plans. All field data acquisitions from seismic, well logging, production and geomechanical monitoring to enhanced oil recovery operations can be affected by the accurate details incorporated in the subsurface model. Therefore, building a realistic integrated subsurface model in advance of the field development and associated design and operations is essential for a successful implementation of such projects. Furthermore, utilizing a more reliable model can in-turn provide the basis in the decision making process for control and remediation of formation damage. One of the key identifier of the subsurface model is accurately predicting the hydraulic flow units. There are several models currently used in the prediction of these units based on the type of the data available. The predictions using these models are differing significantly due to the assumptions made in the derivations. Most of these assumptions do not adequately reflect realistic subsurface conditions increasing the need for better models to enhance the predictions. A new approach has been developed in this study for predicting the petrophysical properties improving the reservoir characterization. Poiseuille flow equation and Darcy equation were coupled taking into consideration the irreducible water saturation in the pore network. The porous media was introduced as a domain containing bundle of tortuous capillary tubes with irreducible water lining the pore wall. A series of routine and special core analysis were performed on 17 Berea sandstone samples and the petrophysical properties were measured and XRD analysis was conducted. In addition, core permeabilities were predicted using a new permeability model and the results were compared to the measured permeability data. In building the petrophysical model, it was initially necessary to assume an ideal reservoir with 17 different layers. Afterwards, by iteration and calibration of the laboratory data, the more realistic number of hydraulic flow units was determined accordingly. The same model was also implemented to a Cotton Valley tight gas reservoir in Northern Louisiana in order to determine the flow units. A comparative study shows that the new model provides a better distribution of hydraulic flow units and prediction of the petrophysical properties. Using the new model provides a better match with the experimental data collected than the models currently used in the prediction of such parameters. The good agreement observed for both the Berea sandstone and Cotton Valley tight gas sand experimental data and the model predictions using the new permeability model show the wider range of applicability for various reservoir conditions.
机译:建立综合地下模型是主要石油和天然气运营商的主要目标之一,以指导现场发展计划。所有现场数据采集来自地震,井井料,生产和地质力学监测,以增强的石油恢复操作可能受到在地下模型中的准确细节的影响。因此,在现场开发和相关的设计和操作之前建立一个现实的集成地下模型对于成功实施此类项目至关重要。此外,利用更可靠的模型可以反过来为决策过程提供基础,用于控制和修复形成损伤。地下模型的一个关键标识符之一是准确地预测液压流量单元。基于可用数据的类型,存在目前用于预测这些单位的若干模型。由于在衍生中所做的假设,使用这些模型的预测是显着的。这些假设的大多数都不会充分反映现实的地下条件,提高更好模型的需求来增强预测。本研究已经开发了一种新方法,以预测提高储层表征的岩石物理特性。考虑到孔网中的不可缩短的水饱和度,耦合Poiseuille流程和达西方程。将多孔介质作为含有曲线壁衬的曲折毛细管束束圆形毛细管的域。在17个Berea砂岩样品上进行了一系列常规和特殊核心分析,并测量了岩石物理性质,并进行了XRD分析。此外,使用新的渗透性模型预测核心渗透性,并将结果与​​测量的渗透性数据进行比较。在建立岩石物理模型时,最初是必要的,以假设具有17个不同层的理想储层。之后,通过实验室数据的迭代和校准,相应地确定更现实的液压流量单位。同样的型号也被实施在路易斯安那州北部的棉谷紧煤气藏,以确定流动装置。比较研究表明,新模型提供了液压流动单元的更好分布和岩石物理性质的预测。使用新模型提供比在预测这些参数的预测中使用的模型的实验数据更好地匹配。使用新的渗透性模型的Berea砂岩和棉花谷紧的天然气砂实验数据和模型预测观察到的良好一致性展示了各种储层条件的更广泛的适用性。

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