公开(公告)号：US20170177992A1

公开(公告)日：2017-06-22

申请号：US14685249

申请日：2015-04-13

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Hector M. KLIE

IPC: G06N3/08 ,  G06F17/50 ,  E21B43/24 ,  E21B47/00 ,  E21B49/00 ,  G06N5/04 ,  E21B41/00

CPC classification number: E21B43/2406 ,  E21B43/00 ,  G06F17/5009 ,  G06F2217/16 ,  G06N20/00

Abstract: The present disclosure describes the use of growth models and data driven models that are combined for quickly and efficiently modeling SAGD reservoir oil production. Growth function surrogate models are used for efficient and reliable reservoir modeling and production forecasting as opposed to CPU intensive simulations based on finite difference models. A data-driven technique can then compare the growth function surrogate model with real field data to find discrepancies and inconsistencies between the two, allowing for an updates and improvements of the growth function model.

公开(公告)号：US20160333672A1

公开(公告)日：2016-11-17

申请号：US15152242

申请日：2016-05-11

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Hector M. KLIE ,  Phil D. ANNO

IPC: E21B41/00 ,  G01V99/00 ,  E21B44/04 ,  E21B7/00 ,  E21B49/00

CPC classification number: E21B44/04

Abstract: The invention relates to a method, system and apparatus for determining real-time drilling operations dysfunctions by measuring the power-loss of signal propagation associated with a drill string in a wellbore. The invention comprises acquiring a first time series from a mid-string drilling sub sensor associated with a drill string in a wellbore and acquiring a second time series from a sensor associated with the drill string wherein the sensor is on or near a drill rig on the surface of the earth. The process further comprises determining the geometry of the wellbore and determining model parameters alpha and beta for characterizing a wellbore using the first time series, the second time series and the geometry of the wellbore by deriving a power loss of signal propagation. The model parameters may then be used for drilling a subsequent well using surface sensor acquired data to detect drilling dysfunctions.

Abstract translation: 本发明涉及一种用于通过测量与井眼中的钻柱相关联的信号传播的功率损耗来确定实时钻井操作功能障碍的方法，系统和装置。 本发明包括从井眼中与钻柱相关联的中线钻井子传感器获取第一时间序列，并且从与钻柱相关联的传感器获取第二时间序列，其中传感器位于钻机上或附近的钻机上 地球表面 该过程还包括通过导出信号传播的功率损耗来确定井筒的几何形状并且使用第一时间序列，第二时间序列和井眼的几何形状确定用于表征井眼的模型参数α和β。 然后可以使用表面传感器获取的数据来模拟参数来钻取随后的井，以检测钻井功能。

公开(公告)号：US20150205005A1

公开(公告)日：2015-07-23

申请号：US14596336

申请日：2015-01-14

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Hector M. KLIE ,  Hari H. SUDAN

IPC: G01V99/00 ,  G06F17/10

CPC classification number: G01V99/005 ,  G06F17/10

Abstract: The disclosure relates generally to a parallel computing framework designed to accelerate intensive kernel operations and address the complex physics in numerical reservoir simulations by effectively using the ‘many-core’ computing platform. Specifically, this Many-core Advanced Parallel Simulation (MAPS) uses heuristics to decide the optimal hardware configurations and optimal software components for a given problem's characteristics to efficiently design a model.

Abstract translation: 本公开通常涉及一种并行计算框架，其旨在通过有效地使用“多核”计算平台来加速密集型核心操作并解决数值油藏模拟中的复杂物理学问题。 具体来说，该多核高级并行仿真（MAPS）使用启发式方法来确定给定问题特征的最优硬件配置和最佳软件组件，以有效地设计模型。