公开(公告)号：US11686871B2

公开(公告)日：2023-06-27

申请号：US17576025

申请日：2022-01-14

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Kevin T. Raterman ,  Helen E. Farrell ,  Kyle Friehauf ,  Raymond R. Reid, Jr. ,  Ge Jin ,  Baishali Roy ,  Dana M. Jurick ,  Seth Busetti

IPC: G01V1/30 ,  E21B47/002 ,  E21B41/00 ,  E21B43/26 ,  E21B49/00 ,  E21B49/02 ,  G01V1/22 ,  G01V1/28 ,  G01V1/42 ,  G01V9/00 ,  E21B47/07 ,  E21B43/267 ,  E21B47/06

CPC classification number: G01V1/308 ,  E21B41/0092 ,  E21B43/26 ,  E21B47/002 ,  E21B49/00 ,  E21B49/02 ,  G01V1/226 ,  G01V1/282 ,  G01V1/288 ,  G01V1/42 ,  G01V9/005 ,  E21B43/267 ,  E21B47/06 ,  E21B47/07 ,  G01V2210/1234 ,  G01V2210/646 ,  G01V2210/663

Abstract: A data acquisition program, which includes core, image log, microseismic, DAS, DTS, and pressure data, is described. This program can be used in conjunction with a variety of techniques to accurately monitor and conduct well stimulation.

公开(公告)号：US20180230784A1

公开(公告)日：2018-08-16

申请号：US15750995

申请日：2016-08-05

Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION

Inventor： Adrian RODRIGUEZ HERRERA ,  Nikolaos KOUTSABELOULIS ,  Piyush PANKAJ ,  Hitoshi ONDA ,  Xavier GARCIA-TEIJEIRO

IPC: E21B41/00 ,  E21B43/26 ,  E21B49/00 ,  G01V1/28 ,  G01V99/00

CPC classification number: E21B41/0092 ,  E21B43/26 ,  E21B43/267 ,  E21B47/06 ,  E21B47/065 ,  E21B49/00 ,  E21B49/02 ,  E21B49/08 ,  G01V1/288 ,  G01V99/005 ,  G01V2210/1234 ,  G01V2210/642 ,  G01V2210/646 ,  G01V2210/65 ,  G01V2210/663

Abstract: A method of performing oilfield operations at a wellsite is disclosed. The wellsite is positioned about a subterranean formation having a wellbore therethrough and a fracture network therein. The fracture network includes natural fractures. The method involves generating fracture parameters including a hydraulic fracture network based on wellsite data including a mechanical earth model, generating reservoir parameters including a reservoir grid based on the wellsite data and the generated fracture wellsite parameters, forming a finite element grid from the fracture and reservoir parameters by coupling the hydraulic fracture network to the reservoir grid, generating integrated geomechanical parameters including estimated microseismic events based on the finite element grid, and performing fracture operations and production operations based on the integrated geomechanical parameters.

公开(公告)号：US20170074997A1

公开(公告)日：2017-03-16

申请号：US15268047

申请日：2016-09-16

Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION ,  Cambridge Enterprise Limited,

Inventor： David J. Pugh ,  Robert S. White ,  Philip Andrew Felton Christie

IPC: G01V1/28 ,  E21B49/00 ,  E21B43/26

CPC classification number: G01V1/288 ,  E21B43/26 ,  E21B49/00 ,  G01V1/008 ,  G01V1/282 ,  G01V2210/1234 ,  G01V2210/642 ,  G01V2210/646 ,  G01V2210/65 ,  G01V2210/663

Abstract: A method is provided for processing microseismic data whereby the relative probability of an earthquake source model type, or combination of source model types, is estimated by: performing forward modelling source parameter estimation on the microseismic data, the estimation being constrained to one or more selected source model types; calculating the likelihoods of the microseismic data for given source model types by forward-modelling synthetic data from a sampled source parameter probability distribution derived from the estimation for each given source model type, and comparing the synthetic data against the microseismic data; marginalizing the calculated data likelihoods over prior probabilities for the model parameters for the given source model types to give respective likelihoods for the given source model types; and using Bayesian inference to convert the source model type likelihoods and the prior probabilities to posterior probabilities for the source model types.

Abstract translation: 提供了一种用于处理微震数据的方法，由此通过以下方式估计地震源模型类型或源模型类型的组合的相对概率：对微震数据执行正向建模源参数估计，估计被限制为一个或多个所选择的 源模型类型; 通过从针对每个给定源模型类型的估计导出的采样源参数概率分布进行前向建模合成数据，并将合成数据与微震数据进行比较，计算给定源模型类型的微震数据的可能性; 将计算的数据可能性与给定源模型类型的模型参数的先验概率边缘化，以给出给定源模型类型的各自的可能性; 并使用贝叶斯推理将源模型类型可能性和先验概率转换为源模型类型的后验概率。

公开(公告)号：US20150247941A1

公开(公告)日：2015-09-03

申请号：US14635425

申请日：2015-03-02

Applicant: Schlumberger Technology Corporation

Inventor： Joseph Carl Fiduk ,  Kang Wang ,  Youxiang Zuo ,  Andrew Emil Pomerantz ,  Oliver Mullins

IPC: G01V1/40 ,  E21B47/14 ,  E21B49/08

CPC classification number: G01V1/50 ,  E21B49/00 ,  G01V1/003 ,  G01V11/00 ,  G01V2210/644 ,  G01V2210/663

Abstract: Various implementations directed to the integration of seismic data with downhole fluid analysis to predict the location of heavy hydrocarbon are provided. In one implementation, a method may include receiving seismic data for a hydrocarbon reservoir of interest. The method may also include identifying geological features associated with a secondary gas charge from the seismic data. The method may further include determining the proximity of the geological features to the hydrocarbon reservoir of interest. The method may additionally include receiving preliminary downhole fluid analysis (DFA) data from formations at or near the hydrocarbon reservoir of interest. The method may further include analyzing the preliminary DFA data to determine the equilibrium state of the hydrocarbon reservoir and to confirm the secondary gas charge in the hydrocarbon reservoir. The method may also include determining whether to perform one or more additional DFA's.

Abstract translation: 提供了针对地震数据与井下流体分析的集成以预测重质烃的位置的各种实施。 在一个实施方案中，方法可以包括接收感兴趣的烃储层的地震数据。 该方法还可以包括从地震数据识别与二次气体充电相关联的地质特征。 该方法还可以包括确定地质特征与感兴趣的烃储层的接近程度。 该方法可以另外包括从感兴趣的碳氢化合物油藏或其附近的地层接收初步的井下流体分析（DFA）数据。 该方法还可以包括分析初步DFA数据以确定烃储层的平衡状态并确认烃储层中的二次气体装料。 该方法还可以包括确定是否执行一个或多个附加的DFA。

公开(公告)号：US08849623B2

公开(公告)日：2014-09-30

申请号：US13131793

申请日：2009-09-14

Applicant: Federico D. Carvallo ,  Cassandra M. McZeal ,  Anoop A. Mullur ,  Vikas Goel

Inventor： Federico D. Carvallo ,  Cassandra M. McZeal ,  Anoop A. Mullur ,  Vikas Goel

IPC: G06F7/60 ,  G06F17/10 ,  E21B43/00 ,  G01V99/00

CPC classification number: E21B43/00 ,  G01V99/005 ,  G01V2210/663

Abstract: Systems and methods which implement surrogate (e.g., approximation) models to systematically reduce the parameter space in an optimization problem are shown. In certain embodiments, rigorous (e.g., higher fidelity) models are implemented with respect to the reduced parameter space provided by use of surrogate models to efficiently and more rapidly arrive at an optimized solution. Accordingly, certain embodiments build surrogate models of an actual simulation, and systematically reduce the number of design parameters used in the actual simulation to solve optimization problems using the actual simulation. A multi-stage method that facilitates optimization of decisions related to development planning and reservoir management may be provided. Iterative processing may be implemented with respect to a multi-stage optimization method. There may be uncertainty in various parameters, such as in reservoir parameters, which is taken into account according to certain embodiments.

Abstract translation: 示出了实现代理（例如近似）模型以系统地减少优化问题中的参数空间的系统和方法。 在某些实施例中，相对于通过使用代理模型提供的减少的参数空间来有效地并且更快地到达优化的解决方案来实现严格（例如更高保真度）模型。 因此，某些实施例构建实际仿真的替代模型，并且系统地减少在实际仿真中使用的设计参数的数量，以使用实际模拟来解决优化问题。 可以提供有助于优化与开发规划和水库管理相关的决策的多阶段方法。 可以针对多级优化方法来实现迭代处理。 在诸如储层参数的各种参数中可能存在不确定性，这些参数根据某些实施例被考虑在内。

公开(公告)号：US08537638B2

公开(公告)日：2013-09-17

申请号：US12984412

申请日：2011-01-04

Applicant: Sunwoong Lee ,  Jerome R. Krebs ,  John E. Anderson ,  Anatoly Baumstein ,  David L. Hinkley

Inventor： Sunwoong Lee ,  Jerome R. Krebs ,  John E. Anderson ,  Anatoly Baumstein ,  David L. Hinkley

IPC: G01V1/00 ,  G01V1/28

CPC classification number: G01V1/00 ,  G01V1/28 ,  G01V1/282 ,  G01V1/301 ,  G01V1/306 ,  G01V1/368 ,  G01V2210/51 ,  G01V2210/614 ,  G01V2210/622 ,  G01V2210/663 ,  G01V2210/675 ,  G01V2210/679

Abstract: Method for converting seismic data to obtain a subsurface model of, for example, bulk modulus or density. The gradient of an objective function is computed (103) using the seismic data (101) and a background subsurface medium model (102). The source and receiver illuminations are computed in the background model (104). The seismic resolution volume is computed using the velocities of the background model (105). The gradient is converted into the difference subsurface model parameters (106) using the source and receiver illumination, seismic resolution volume, and the background subsurface model. These same factors may be used to compensate seismic data migrated by reverse time migration, which can then be related to a subsurface bulk modulus model. For iterative inversion, the difference subsurface model parameters (106) are used as preconditioned gradients (107).

Abstract translation: 用于转换地震数据以获得例如体积模量或密度的地下模型的方法。 使用地震数据（101）和背景地下介质模型（102）计算目标函数的梯度（103）。 源和接收器照明在背景模型（104）中计算。 使用背景模型（105）的速度计算地震解析度。 使用源和接收器照明，地震分辨率体积和背景地下模型将梯度转换为差分地下模型参数（106）。 这些相同的因素可以用于补偿通过反向时间迁移迁移的地震数据，其然后可以与地下体积模量模型相关。 对于迭代反演，差分地下模型参数（106）用作预处理梯度（107）。

公开(公告)号：US08265915B2

公开(公告)日：2012-09-11

申请号：US12602622

申请日：2008-06-13

Applicant: Sheng-Yuan Hsu ,  Kevin H. Searles ,  Jon M. Wallace

Inventor： Sheng-Yuan Hsu ,  Kevin H. Searles ,  Jon M. Wallace

IPC: G06F17/50

CPC classification number: E21B49/006 ,  G01V11/00 ,  G01V99/005 ,  G01V2210/6248 ,  G01V2210/663

Abstract: Methods of predicting earth stresses in response to pore pressure changes in a hydrocarbon-bearing reservoir within a geomechanical system, include establishing physical boundaries for the geomechanical system and acquiring reservoir characteristics. Geomechanical simulations simulate the effects of changes in reservoir characteristics on stress in rock formations within the physical boundaries to determine the rock formation strength at selected nodes in the reservoir. The strength of the rock formations at the nodes is represented by an effective strain (εeff), which includes a compaction strain (εc) and out-of-plane shear strains (Υ1-3, Y2-3) at a nodal point. The methods further include determining an effective strain criteria (εeffcr) from a history of well failures in the physical boundaries. The effective strain (εeffcr) at a selected nodal point is compared with the effective strain criteria (εeffcr) to determine if the effective strain (εeff) exceeds the effective strain criteria (εeffcr).

Abstract translation: 在地质力学系统中预测地球应力响应孔隙压力变化的方法包括建立地质力学系统的物理边界并获取储层特征。 地质力学模拟模拟储层特征变化对物理边界内岩层应力的影响，以确定储层选定节点的岩层强度。 在节点处的岩层的强度由有效应变（＆egr。eff）表示，其包括压实应变（＆egr; c）和平面外剪切应变（＆Ugr; 1-3，Y2-3） 在一个节点。 这些方法还包括从物理边界的井故障历史中确定有效应变标准（＆egr。effcr）。 将有效应变（＆egr。effcr）与有效应变标准（＆egr。effcr）进行比较，以确定有效应变（＆egr。eff）是否超过有效应变标准（＆egr。effcr）。

公开(公告)号：US20110120718A1

公开(公告)日：2011-05-26

申请号：US12626153

申请日：2009-11-25

Applicant: David P. Craig

Inventor： David P. Craig

IPC: E21B43/26 ,  E21B43/00 ,  E21B43/25 ,  G06G7/57

CPC classification number: E21B43/26 ,  E21B43/16 ,  G01V1/288 ,  G01V2210/646 ,  G01V2210/663

Abstract: Systems, methods, and instructions encoded in a computer-readable medium can perform operations related to simulating subterranean fracture propagation. A subterranean formation model representing rock blocks of a subterranean formation is received. The subterranean formation model is used to predict a response of each rock block to one or more forces acting on the rock block during an injection treatment for the subterranean formation. The predicted responses of the rock blocks may include, for example, a fracture, a rotation, a displacement, a dilation of an existing fracture, and/or another type of response. In some implementations, an injection treatment may be designed for a subterranean formation based on the predicted response of the rock blocks.

Abstract translation: 在计算机可读介质中编码的系统，方法和指令可以执行与模拟地下裂缝扩展相关的操作。 接收表示地下岩层的地下地层模型。 地下地层模型用于预测每个岩块对于在地下地层的喷射处理期间作用在岩块上的一个或多个力的响应。 岩石块的预测响应可以包括例如断裂，旋转，位移，现有骨折的扩张和/或其他类型的应答。 在一些实施方案中，可以基于岩块的预测响应来为地下地层设计注射处理。

公开(公告)号：US20100191514A1

公开(公告)日：2010-07-29

申请号：US12668394

申请日：2008-07-09

Applicant: Gérard Massonnat

Inventor： Gérard Massonnat

IPC: G06G7/50 ,  G06F17/10

CPC classification number: G01V11/00 ,  G01V99/005 ,  G01V2210/663

Abstract: A method, program and computer system for changing scale of reservoir model permeabilities (for example a hydrocarbon reservoir) are provided. Mini-models of reservoirs are defined (S100) with a number of meshes and cells in these meshes. For each model mesh, a scaling of the permeability values KH of the meshes is carried out (S400-800) via a mean power formula KHωH ∝ΣkHiωH relating the mesh permeability KH to the local permeabilities kH,i of the cells. According to the invention, the power coefficient ωH appearing therein is analytically modified, relatively to its expression given by the Noetinger-Haas relationship, in order to correct a non-ergodicity bias.

Abstract translation: 提供了一种用于改变油藏模型渗透率尺度（例如油气藏）的方法，程序和计算机系统。 定义了水库的小型模型（S100），这些网格中有许多网格和单元格。 对于每个模型网格，通过平均功率公式KHωHα＆Sgr;kHiωH来进行网格的渗透率值KH的缩放，将平均渗透率KH与单元的局部渗透率kH，i相关联。 根据本发明，为了校正非遍历偏差，其中出现的功率系数ωH相对于由Noetser-Haas关系给出的表达式进行分析修改。

公开(公告)号：US07584086B2

公开(公告)日：2009-09-01

申请号：US10568940

申请日：2004-09-29

Applicant: David S. Frankel

Inventor： David S. Frankel

IPC: G06F7/60 ,  G06F17/10

CPC classification number: G01V11/00 ,  E21B43/00 ,  E21B49/00 ,  G01V99/005 ,  G01V2210/66 ,  G01V2210/663

Abstract: The invention relates to numerical simulation of subsurface geological reservoirs. More specifically embodiments of the invention are related to computer modeling of the transmission of properties, for example the flow of fluids (e.g. hydrocarbon natural resources and water), within subsurface geological reservoirs. One embodiment of the invention includes a method of evaluating the transmission of a property within a subsurface geologic reservoir using a graph-theory single source shortest path algorithm.

Abstract translation: 本发明涉及地下地质储层的数值模拟。 更具体地，本发明的实施例涉及在地下地质储层内的性质传输（例如流体（例如烃类天然资源和水））的计算机建模。 本发明的一个实施例包括使用图论理论单源最短路径算法评估地下地质储层内的性质的传递的方法。