公开(公告)号：US20110106514A1

公开(公告)日：2011-05-05

申请号：US12738225

申请日：2008-09-08

申请人： Dzevat Omeragic ,  Tarek M. Habashy ,  Valery Polyakov ,  Raymond Kocian ,  Yong-Hua Chen ,  Sofia Davydycheva ,  Raphael Altman ,  Carlos Maeso ,  Douglas Hupp

发明人： Dzevat Omeragic ,  Tarek M. Habashy ,  Valery Polyakov ,  Raymond Kocian ,  Yong-Hua Chen ,  Sofia Davydycheva ,  Raphael Altman ,  Carlos Maeso ,  Douglas Hupp

IPC分类号： G06G7/48

CPC分类号： G01V11/00

摘要： Methods for three-dimensionally characterizing a reservoir while drilling a high angle or horizontal wellbore through the reservoir are disclosed. An initial reservoir model for the reservoir is selected and a section is extracted for a planned trajectory of the wellbore. A secondary model is generated by performing secondary modeling for at least part of the planned trajectory. An area of interest is identified within the secondary model where statistical uncertainty is high. Possible causes of the statistical uncertainty are identified for the area of interest within the secondary model that are not present or accounted for in the initial reservoir model. A set of parameters for the area of interest are defined at that are based on the possible causes of statistical uncertainty. The area of interest is logged with at least one logging while drilling LWD tool. Sensitivities of the LWD tool response to the subset of parameters are evaluated by performing at least one tertiary model for a range of the subset of parameters. The most sensitive parameters from the subset of parameters and corresponding measurements are identified. One or more real-time LWD measurements to be used for proactive well placement along the planned trajectory are identified and are based on the most sensitive parameters. The initial reservoir model is updated while drilling with information from the tertiary model. The model update is based on physics-based modeling or on inversion and on running multiple models and selection of a best candidate model based on correlations between the tool measurements and modeled results for each geologic model.

摘要翻译： 公开了在通过储存器钻高角度或水平井眼时三维地表征储层的方法。 选择储层的初始储层模型，并为井眼的计划轨迹提取截面。 通过对至少部分计划轨迹执行二次建模来生成辅助模型。 在统计不确定度高的次级模式中确定感兴趣的领域。 在二次模型中，在初始储层模型中不存在或考虑到的关注区域，确定了统计不确定性的可能原因。 定义感兴趣区域的一组参数是基于统计不确定性的可能原因。 在钻探LWD工具时，至少记录一次记录区域。 通过对参数子集的范围执行至少一个第三模型来评估对参数子集的LWD工具响应的灵敏度。 确定参数子集和相应测量中最敏感的参数。 用于沿着计划轨迹进行主动井放置的一个或多个实时LWD测量被识别并且基于最敏感的参数。 最初的油藏模型在使用三级模型的信息进行钻井时更新。 模型更新基于基于物理的建模或反演，并运行多个模型，并根据工具测量与每个地质模型的建模结果之间的相关性选择最佳候选模型。

公开(公告)号：US08489375B2

公开(公告)日：2013-07-16

申请号：US12738225

申请日：2008-09-08

申请人： Dzevat Omeragic ,  Tarek M. Habashy ,  Valery Polyakov ,  Raymond Kocian ,  Yong-Hua Chen ,  Sofia Davydycheva ,  Raphael Altman ,  Carlos Maeso ,  Douglas Hupp

发明人： Dzevat Omeragic ,  Tarek M. Habashy ,  Valery Polyakov ,  Raymond Kocian ,  Yong-Hua Chen ,  Sofia Davydycheva ,  Raphael Altman ,  Carlos Maeso ,  Douglas Hupp

IPC分类号： G06G7/48

CPC分类号： G01V11/00

摘要： LWD measurements to be used for proactive well placement while drilling a high angle or horizontal wellbore in a reservoir are defined. An initial reservoir model is provided and a section is extracted for a planned wellbore trajectory. A secondary model is generated for the planned trajectory. An area of interest is identified where statistical uncertainty is high. Possible causes of the statistical uncertainty are identified that are not present in the initial reservoir model. A set of parameters are defined based on the possible causes of statistical uncertainty. The area of interest is logged with LWD tool. Sensitivities of the LWD tool response to a subset of parameters are evaluated by performing tertiary model for a range of the subset of parameters. The most sensitive parameters from the subset of parameters and corresponding measurements are identified. LWD measurements are defined based on the most sensitive parameters.

摘要翻译： 定义用于在储存器中钻高角度或水平井眼时用于主动井位置的LWD测量。 提供初始储层模型，并为计划的井眼轨迹提取截面。 为计划轨迹生成二次模型。 确定感兴趣的领域，统计不确定度高。 确定在初始储层模型中不存在的统计不确定性的可能原因。 基于统计不确定性的可能原因定义了一组参数。 利用LWD工具记录感兴趣的区域。 通过对参数子集的范围执行第三模型来评估LWD工具对参数子集的响应的敏感度。 确定参数子集和相应测量中最敏感的参数。 LWD测量根据最敏感的参数进行定义。