公开(公告)号：US20170011149A1

公开(公告)日：2017-01-12

申请号：US15204249

申请日：2016-07-07

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Yongshe LIU ,  Lin Ying HU ,  Jianbing WU ,  Claude SCHEEPENS

IPC: G06F17/50 ,  E21B41/00

CPC classification number: G06F17/5009 ,  E21B41/00 ,  E21B49/00 ,  G01V99/005 ,  G01V2210/66 ,  G06F17/18

Abstract: The present disclosure describes a method that improves the long-range geobody continuity in Multiple Point Statistical methods, wherein the coarsest multi-grid level cells are simulated in a regular path, and the subsequent level cells are simulated in a random path as usual. The method is general and is applicable to different cases: such as hard data conditioning, soft data conditioning, non-stationarity modeling, 2 or more than 2 types of facies modeling, and 2D and 3D modeling. The method is particularly useful in reservoir modeling, especially for the channelized systems, but can be generally applied to other geological environments.

Abstract translation: 本公开描述了一种改进多点统计方法中的远程地质体连续性的方法，其中以规则路径模拟最粗糙的多栅格级别单元，并且如常规地在随机路径中模拟后续级单元。 该方法是一般的，适用于不同的情况：例如硬数据调节，软数据调理，非平稳性建模，2或2种以上的相模型，2D和3D建模。 该方法在储层建模中特别有用，特别是对于通道化系统，但通常可以应用于其他地质环境。

公开(公告)号：US20130124162A1

公开(公告)日：2013-05-16

申请号：US13655496

申请日：2012-10-19

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Lin Ying HU ,  Patricia F. ALLWARDT ,  Jason A. MCLENNAN

IPC: G06F17/10

CPC classification number: G01V1/306 ,  G01V2210/646

Abstract: A method of calculating a shape factor may include identifying a first fracture set, a second fracture set and a third fracture set within a subterranean formation; determining the azimuth and the dip of the first fracture set; determining the azimuth and the dip of the second fracture set; determining the azimuth and the dip of the third fracture set; determining the fracture spacing intensity of each fracture set, measuring an angle formed by an intersection of the first and second fracture sets; measuring an angle formed by an intersection of the first and third fracture sets; measuring an angle formed by an intersection of the second and third fracture sets; calculating a shape factor for each particular configuration of the plurality of fracture sets; and developing an ellipse-based equation utilizing the shape factors of these particular configurations and angles formed between each pair of the plurality of fracture sets.

Abstract translation: 计算形状因子的方法可以包括识别地层内的第一裂缝组，第二裂缝组和第三裂缝组; 确定第一裂缝组的方位角和倾角; 确定第二裂缝组的方位角和倾角; 确定第三裂缝组的方位角和倾角; 确定每个裂缝组的断裂间距强度，测量由第一和第二裂缝组的交点形成的角度; 测量由第一和第三断裂组的交点形成的角度; 测量由第二和第三裂缝组的交点形成的角度; 计算所述多个裂缝组的每个特定构造的形状系数; 以及利用这些特定构造的形状因子和在每对多个裂缝组之间形成的角度来开发基于椭圆的方程。

公开(公告)号：US20170009575A1

公开(公告)日：2017-01-12

申请号：US15204606

申请日：2016-07-07

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Yongshe LIU ,  Lin Ying HU ,  Jianbing WU ,  Claude SCHEEPENS

IPC: E21B49/00

Abstract: Estimating in-situ stress of an interval having drilling response data is described. Estimating involves obtaining drilling response data of a data rich interval with available data. Estimating relative rock strength as a composite value that includes in-situ stress and rock strength. Estimating a Poisson's ratio from the relative rock strength. Generating a stress model that includes uniaxial strain model using the Poisson's ratio. Verifying the stress model with the available data. Applying the stress models in a non-data rich interval.

Abstract translation: 描述了具有钻井响应数据的间隔的估计原位应力。 估计涉及获得具有可用数据的富数据间隔的钻井响应数据。 将相对岩石强度估算为包括原位应力和岩石强度的复合值。 从相对岩石力量估算泊松比。 使用泊松比生成包含单轴应变模型的应力模型。 使用可用数据验证压力模型。 在非数据丰富的间隔中应用压力模型。

公开(公告)号：US20150317419A1

公开(公告)日：2015-11-05

申请号：US14700617

申请日：2015-04-30

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Cheolkyun JEONG ,  Lin Ying HU ,  Yongshe LIU

IPC: G06F17/50 ,  G06N99/00 ,  G06F17/18

CPC classification number: G06N20/00 ,  G01V99/005 ,  G06F17/18 ,  G06F17/5009

Abstract: A method of computer modeling a reservoir using multiple-point statistics from non-stationary training images is provided. Some methods include: a) identifying a path via a computer processing machine to visit all nodes of a simulation field; b) setting a template for searching data event in the simulation field and for searching data event replicates in the non-stationary training image; c) defining a neighborhood in which the training image is sampled; d) formulating a kernel function that gσ(d) that decreases from 1 to 0 when distance d increases from 0 to infinity; e) for the current node in the simulation filed, identifying the data event covered by the template; f) randomly sampling the training image in the neighborhood of corresponding node in the training image until an exact or approximate replicate of the data event is found; g) computing distance d between central node of the replicate and simulation node; h) computing the kernel function; i) drawing a random number u between 0 and 1; j) assigning value of central node of the replicate to the simulation node if gσ(d) is greater than u; k) repeating steps f) to j) if gσ(d) is not greater than u; and repeating steps e) to k) until all simulation nodes are visited

Abstract translation: 提供了一种使用来自非平稳训练图像的多点统计学来计算建模储层的方法。 一些方法包括：a）通过计算机处理机器识别路径以访问模拟场的所有节点; b）在模拟场中设置用于搜索数据事件的模板和用于搜索非平稳训练图像中的数据事件重复; c）定义训练图像被采样的邻域; d）制定一个核心函数，g＆sgr;（d）当距离d从0增加到无穷大时，从1减少到0; e）对于模拟场中的当前节点，识别模板覆盖的数据事件; f）随机抽取训练图像中对应节点附近的训练图像，直到找到数据事件的准确或近似重复; g）计算复制中心节点与模拟节点之间的距离d; h）计算核函数; i）绘制0和1之间的随机数u; j）如果g＆sgr;（d）大于u，则将复制的中心节点的值分配给模拟节点; k）重复步骤f）至j）如果g＆sgr;（d）不大于u; 并重复步骤e）至k），直到所有模拟节点被访问为止