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1. 发明申请

US20100155142A1 SYSTEM AND METHOD FOR PERFORMING AN ADAPTIVE DRILLING OPERATION 有权
标题翻译：用于执行自适应钻孔操作的系统和方法
公开(公告)号：US20100155142A1
公开(公告)日：2010-06-24
申请号：US12693119
申请日：2010-01-25
申请人： R.K. MICHAEL THAMBYNAYAGAM , Esmersoy Cengiz , Peter Gerhard Tilke , Maurice Nessim , Annabelle Kania , Sudhendu Kashikar , Gregory P. Grove , Nader C. Dutta , Raj Banerjee , Jeffrey B. Spath , Christopher Hopkins
发明人： R.K. MICHAEL THAMBYNAYAGAM , Esmersoy Cengiz , Peter Gerhard Tilke , Maurice Nessim , Annabelle Kania , Sudhendu Kashikar , Gregory P. Grove , Nader C. Dutta , Raj Banerjee , Jeffrey B. Spath , Christopher Hopkins
IPC分类号： E21B7/04
CPC分类号： E21B44/00
摘要： A system and method for performing an adaptive drilling operation is provided. The method involves obtaining data prior to drilling, constructing a base model with a base model unit from data obtained prior to drilling, constructing an overburden posterior model with an overburden model unit using the base model and data obtained from overburden drilling, constructing a reservoir posterior model with a reservoir model unit using the overburden posterior model and the data obtained from reservoir drilling and updating drilling operation based on the models.
摘要翻译：提供一种用于执行自适应钻孔操作的系统和方法。该方法包括在钻井前获取数据，使用钻井前获得的数据构建具有基本模型单位的基本模型，使用基础模型和覆盖层钻井获得的数据构建具有上覆岩模型单元的上覆后模型，构建储层后采用上覆后验模型的储层模型单元模型和基于模型的油藏钻井和更新钻井作业获得的数据。

2. 发明授权

US08527248B2 System and method for performing an adaptive drilling operation 有权
标题翻译：用于执行自适应钻井操作的系统和方法
公开(公告)号：US08527248B2
公开(公告)日：2013-09-03
申请号：US12693119
申请日：2010-01-25
申请人： R. K. Michael Thambynayagam , Cengiz Esmersoy , Peter Gerhard Tilke , Maurice Nessim , Annabelle Kania , Sudhendu Kashikar , Gregory P. Grove , Nader C. Dutta , Raj Banerjee , Jeffrey B. Spath , Christopher Hopkins
发明人： R. K. Michael Thambynayagam , Cengiz Esmersoy , Peter Gerhard Tilke , Maurice Nessim , Annabelle Kania , Sudhendu Kashikar , Gregory P. Grove , Nader C. Dutta , Raj Banerjee , Jeffrey B. Spath , Christopher Hopkins
IPC分类号： G06G7/48
CPC分类号： E21B44/00
摘要： A system and method for performing an adaptive drilling operation is provided. The method involves obtaining data prior to drilling, constructing a base model with a base model unit from data obtained prior to drilling, constructing an overburden posterior model with an overburden model unit using the base model and data obtained from overburden drilling, constructing a reservoir posterior model with a reservoir model unit using the overburden posterior model and the data obtained from reservoir drilling and updating drilling operation based on the models.
摘要翻译：提供一种用于执行自适应钻孔操作的系统和方法。该方法包括在钻井前获取数据，使用钻井前获得的数据构建具有基本模型单位的基本模型，使用基础模型和覆盖层钻井获得的数据构建具有上覆岩模型单元的上覆后模型，构建储层后采用上覆后验模型的储层模型单元模型和基于模型的油藏钻井和更新钻井作业获得的数据。

3. 发明授权

US08793111B2 Automated field development planning 有权
标题翻译：自动化现场开发规划
公开(公告)号：US08793111B2
公开(公告)日：2014-07-29
申请号：US12356137
申请日：2009-01-20
申请人： Peter Gerhard Tilke , Vijaya Halabe , Raj Banerjee , Tarek M. Habashy , Michael Thambynayagam , Jeffrey Spath , Andrew J. Carnegie , Benoit Couet , William J. Bailey , Michael David Prange
发明人： Peter Gerhard Tilke , Vijaya Halabe , Raj Banerjee , Tarek M. Habashy , Michael Thambynayagam , Jeffrey Spath , Andrew J. Carnegie , Benoit Couet , William J. Bailey , Michael David Prange
IPC分类号： G06G7/48
CPC分类号： E21B43/00
摘要： A system for automatically optimizing a Field Development Plan (FDP) for an oil or gas field uses a fast analytic reservoir simulator to dynamically model oil or gas production from the entire reservoir over time in an accurate and rapid manner. An objective function defining a Figure of Merit (FoM) for candidate FDPs is maximized, using an optimization algorithm, to determine an optimized FDP in light of physical, engineering, operational, legal and engineering constraints. The objective function for the Figure of Merit, e.g., net present value (NPV) or total production for a given period of time, relies on a production forecast from the fast analytic reservoir simulator for the entire FDP.
摘要翻译：用于自动优化油田或油田现场开发计划（FDP）的系统使用快速分析油藏模拟器，以准确和快速的方式随时间动态地模拟整个油藏的油气产量。根据物理，工程，操作，法律和工程方面的约束，使用优化算法来定义候选FDP的优点图（FoM）的客观函数被最大化以确定优化的FDP。品质图的目标函数，例如净现值（NPV）或给定时间段内的总产量依赖于快速分析储层模拟器对于整个FDP的生产预测。

4. 发明申请

US20100185427A1 AUTOMATED FIELD DEVELOPMENT PLANNING 有权
标题翻译：自动化现场开发规划
公开(公告)号：US20100185427A1
公开(公告)日：2010-07-22
申请号：US12356137
申请日：2009-01-20
申请人： Peter Gerhard Tilke , Vijaya Halabe , Raj Banerjee , Tarek M. Habashy , Michael Thambynayagam , Jeffrey Spath , Andrew J. Carnegie , Benoit Couet , William J. Bailey , Michael David Prange
发明人： Peter Gerhard Tilke , Vijaya Halabe , Raj Banerjee , Tarek M. Habashy , Michael Thambynayagam , Jeffrey Spath , Andrew J. Carnegie , Benoit Couet , William J. Bailey , Michael David Prange
IPC分类号： G06G7/48
CPC分类号： E21B43/00
摘要： A system for automatically optimizing a Field Development Plan (FDP) for an oil or gas field uses a fast analytic reservoir simulator to dynamically model oil or gas production from the entire reservoir over time in an accurate and rapid manner. An objective function defining a Figure of Merit (FoM) for candidate FDPs is maximized, using an optimization algorithm, to determine an optimized FDP in light of physical, engineering, operational, legal and engineering constraints. The objective function for the Figure of Merit, e.g., net present value (NPV) or total production for a given period of time, relies on a production forecast from the fast analytic reservoir simulator for the entire FDP. The position, orientation and dimensions of analytical model elements for the subsurface oil or gas field, as well as the physical properties associated with these elements, correlate to connected flow volume data from a Shared Earth Model (SEM). Uncertainty in the SEM is considered via stochastic sampling. In the presence of uncertainty, the optimum Field Development Plan (FoM) is selected by maximizing an objective function defining a risk-based Figure of Merit for the entire FDP.
摘要翻译：用于自动优化油田或油田现场开发计划（FDP）的系统使用快速分析油藏模拟器，以准确和快速的方式随时间动态地模拟整个油藏的油气产量。根据物理，工程，操作，法律和工程方面的约束，使用优化算法来定义候选FDP的优点图（FoM）的客观函数被最大化以确定优化的FDP。品质图的目标函数，例如净现值（NPV）或给定时间段内的总产量依赖于快速分析储层模拟器对于整个FDP的生产预测。地下油或气田分析模型元素的位置，方向和尺寸以及与这些元素相关的物理性质与共享地球模型（SEM）的连接流量数据相关。 SEM中的不确定度是通过随机抽样来考虑的。在存在不确定性的情况下，通过最大化定义基于风险的整个FDP优点图表的目标函数来选择最佳现场开发计划（FoM）。

5. 发明授权

US07133779B2 Automated borehole geology and petrophysics interpretation using image logs 有权
标题翻译：使用图像记录自动钻孔地质和岩石物理学解释
公开(公告)号：US07133779B2
公开(公告)日：2006-11-07
申请号：US10838557
申请日：2004-05-04
申请人： Peter Gerhard Tilke , David Allen
发明人： Peter Gerhard Tilke , David Allen
IPC分类号： G01V1/50 , G01V3/18
CPC分类号： G01V1/44 , G01V3/20
摘要： A method of characterizing a borehole traversing an earth formation including (a) obtaining an array of data from a formation characterization tool, wherein the data describes a section of the borehole; (b) computing at least one spatial characteristic describing the relative position of pairs of data; (c) assigning said pairs of data to bins based on the spatial characteristic, wherein the size of the bins are selected based on the tool; (d) transforming the data to petrophysical properties of the borehole; (e) calculating the variance of each bin; (f) developing a model of the variances; (g) determining at least one geostatistical parameter using the model; and (h) upscaling the geostatistical parameters to characterize a region of said earth formation. The method may further include generating a heterogeneity index log using the geostatistical model parameters. The method may be implemented using a computer program product for processing and interpreting borehole data.
摘要翻译：一种表征穿过地层的钻孔的方法，包括（a）从地层表征工具获得数据阵列，其中所述数据描述所述钻孔的一部分; （b）计算描述数据对的相对位置的至少一个空间特征; （c）基于所述空间特性将所述数据对分配给箱，其中基于所述工具选择所述箱的尺寸; （d）将数据转化为钻孔的岩石物理性质; （e）计算每个仓的方差; （f）制定差异模型; （g）使用该模型确定至少一个地统计参数; 和（h）提高地统计参数以表征所述地层的一个区域。该方法可以进一步包括使用地统计模型参数来生成异质性索引日志。该方法可以使用用于处理和解释钻孔数据的计算机程序产品来实现。

6. 发明申请

US20080300793A1 AUTOMATED FIELD DEVELOPMENT PLANNING OF WELL AND DRAINAGE LOCATIONS 有权
标题翻译：自动化田间开发规划井和排水位置
公开(公告)号：US20080300793A1
公开(公告)日：2008-12-04
申请号：US11756244
申请日：2007-05-31
申请人： Peter Gerhard Tilke , William J. Bailey , Benoit Couet , Michael Prange , Martin Crick
发明人： Peter Gerhard Tilke , William J. Bailey , Benoit Couet , Michael Prange , Martin Crick
IPC分类号： G01V9/00 , G06F19/00
CPC分类号： E21B43/30 , E21B41/00
摘要： A hybrid evolutionary algorithm (“HEA”) technique is described for automatically calculating well and drainage locations in a field. The technique includes planning a set of wells on a static reservoir model using an automated well planner tool that designs realistic wells that satisfy drilling and construction constraints. A subset of these locations is then selected based on dynamic flow simulation using a cost function that maximizes recovery or economic benefit. In particular, a large population of candidate targets, drain holes and trajectories is initially created using fast calculation analysis tools of cost and value, and as the workflow proceeds, the population size is reduced in each successive operation, thereby facilitating use of increasingly sophisticated calculation analysis tools for economic valuation of the reservoir while reducing overall time required to obtain the result. In the final operation, only a small number of full reservoir simulations are required for the most promising FDPs.
摘要翻译：描述了一种混合进化算法（“HEA”）技术，用于自动计算场和排水位置。该技术包括使用自动化井计划工具在静态储层模型上规划一组井，以设计满足钻井和施工约束的现实井。然后基于使用最大化恢复或经济效益的成本函数的动态流模拟来选择这些位置的子集。特别是，使用成本和价值的快速计算分析工具最初创建了大量候选目标，排水孔和轨迹，随着工作流程的进行，每个连续操作中的人口规模减小，从而便于使用日益复杂的计算水库经济评估的分析工具，同时减少获得结果所需的总体时间。在最后的操作中，最有希望的FDP需要少量的全油藏模拟。

7. 发明授权

US08005658B2 Automated field development planning of well and drainage locations 有权
标题翻译：井场排水场自动化现场开发规划
公开(公告)号：US08005658B2
公开(公告)日：2011-08-23
申请号：US11756244
申请日：2007-05-31
申请人： Peter Gerhard Tilke , William J. Bailey , Benoit Couet , Michael Prange , Martin Crick
发明人： Peter Gerhard Tilke , William J. Bailey , Benoit Couet , Michael Prange , Martin Crick
IPC分类号： G06F17/50 , G06G7/48 , G01V3/38 , G01V1/40
CPC分类号： E21B43/30 , E21B41/00
摘要： A hybrid evolutionary algorithm (“HEA”) technique is described for automatically calculating well and drainage locations in a field. The technique includes planning a set of wells on a static reservoir model using an automated well planner tool that designs realistic wells that satisfy drilling and construction constraints. A subset of these locations is then selected based on dynamic flow simulation using a cost function that maximizes recovery or economic benefit. In particular, a large population of candidate targets, drain holes and trajectories is initially created using fast calculation analysis tools of cost and value, and as the workflow proceeds, the population size is reduced in each successive operation, thereby facilitating use of increasingly sophisticated calculation analysis tools for economic valuation of the reservoir while reducing overall time required to obtain the result. In the final operation, only a small number of full reservoir simulations are required for the most promising FDPs.
摘要翻译：描述了一种混合进化算法（“HEA”）技术，用于自动计算场和排水位置。该技术包括使用自动化井计划工具在静态储层模型上规划一组井，以设计满足钻井和施工约束的现实井。然后基于使用最大化恢复或经济效益的成本函数的动态流模拟来选择这些位置的子集。特别是，使用成本和价值的快速计算分析工具最初创建了大量候选目标，排水孔和轨迹，随着工作流程的进行，每个连续操作中的人口规模减小，从而便于使用越来越复杂的计算水库经济评估的分析工具，同时减少获得结果所需的总体时间。在最后的操作中，最有希望的FDP需要少量的全油藏模拟。

8. 发明授权

US07460957B2 Geometrical optimization of multi-well trajectories 有权
标题翻译：多井轨迹几何优化
公开(公告)号：US07460957B2
公开(公告)日：2008-12-02
申请号：US11300496
申请日：2005-12-14
申请人： Michael David Prange , Peter Gerhard Tilke , Clinton Dane Chapman , Darren Lee Aklestad
发明人： Michael David Prange , Peter Gerhard Tilke , Clinton Dane Chapman , Darren Lee Aklestad
IPC分类号： G01V1/40 , G06G7/48
CPC分类号： E21B47/022 , E21B7/04 , E21B43/305
摘要： A novel method is presented to automatically design a multi-well development plan given a set of previously interpreted subsurface targets. This method identifies the optimal plan by minimizing the total cost as a function of existing and required new platforms, the number of wells, and the drilling cost of each of the wells. The cost of each well is a function of the well path and the overall complexity of the well.
摘要翻译：提出了一种新颖的方法来自动设计一个以前解释的地下目标集合的多井开发计划。该方法通过将总成本最小化为现有和所需的新平台，井数以及每个井的钻井成本的函数来确定最优计划。每个井的成本是井的路径和井的整体复杂度的函数。

9. 发明授权

US07684929B2 Geometrical optimization of multi-well trajectories 有权
标题翻译：多井轨迹几何优化
公开(公告)号：US07684929B2
公开(公告)日：2010-03-23
申请号：US12263668
申请日：2008-11-03
申请人： Michael David Prange , Peter Gerhard Tilke , Clinton Dane Chapman , Darren Lee Acklestad
发明人： Michael David Prange , Peter Gerhard Tilke , Clinton Dane Chapman , Darren Lee Acklestad
IPC分类号： G06F19/00 , G06G7/48 , E21B43/00
CPC分类号： E21B47/022 , E21B7/04 , E21B43/305
摘要： A novel method is presented to automatically design a multi-well development plan given a set of previously interpreted subsurface targets. This method identifies the optimal plan by minimizing the total cost as a function of existing and required new platforms, the number of wells, and the drilling cost of each of the wells. The cost of each well is a function of the well path and the overall complexity of the well.
摘要翻译：提出了一种新颖的方法来自动设计一个以前解释的地下目标集合的多井开发计划。该方法通过将总成本最小化为现有和所需的新平台，井数以及每个井的钻井成本的函数来确定最优计划。每个井的成本是井的路径和井的整体复杂度的函数。

10. 发明申请

US20090056935A1 GEOMETRICAL OPTIMIZATION OF MULTI-WELL TRAJECTORIES 有权
标题翻译：多层波纹管的几何优化
公开(公告)号：US20090056935A1
公开(公告)日：2009-03-05
申请号：US12263668
申请日：2008-11-03
申请人： Michael David Prange , Peter Gerhard Tilke , Clinton Dane Chapman , Darren Lee Aklestad
发明人： Michael David Prange , Peter Gerhard Tilke , Clinton Dane Chapman , Darren Lee Aklestad
IPC分类号： E21B43/30
CPC分类号： E21B47/022 , E21B7/04 , E21B43/305
摘要： A novel method is presented to automatically design a multi-well development plan given a set of previously interpreted subsurface targets. This method identifies the optimal plan by minimizing the total cost as a function of existing and required new platforms, the number of wells, and the drilling cost of each of the wells. The cost of each well is a function of the well path and the overall complexity of the well.
摘要翻译：提出了一种新颖的方法来自动设计一个以前解释的地下目标集合的多井开发计划。该方法通过将总成本最小化为现有和所需的新平台，井数以及每个井的钻井成本的函数来确定最优计划。每个井的成本是井的路径和井的整体复杂度的函数。

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