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