公开(公告)号：US12078060B2

公开(公告)日：2024-09-03

申请号：US17030020

申请日：2020-09-23

Applicant: HALLIBURTON ENERGY SERVICES, INC.

Inventor： William Owen Alexander Ruhle ,  Ronald Glen Dusterhoft ,  Ajish Potty ,  Joshua Lane Camp

IPC: G06F30/20 ,  E21B43/26 ,  E21B43/267 ,  E21B47/06 ,  E21B47/107 ,  E21B49/00 ,  E21B49/08 ,  G01V1/22 ,  G01V1/40 ,  G01V20/00 ,  E21B47/07 ,  G06F113/08

CPC classification number: E21B49/005 ,  E21B43/26 ,  E21B43/2607 ,  E21B43/267 ,  E21B47/06 ,  E21B47/107 ,  E21B49/00 ,  E21B49/0875 ,  G01V1/226 ,  G01V1/40 ,  G01V20/00 ,  G06F30/20 ,  E21B47/07 ,  E21B2200/20 ,  G06F2113/08

Abstract: Aspects of the subject technology relate to systems and methods for controlling a hydraulic fracturing job. Systems and methods are provided for receiving diagnostics data of a hydraulic fracturing completion of a wellbore, accessing a fracture formation model that models formation characteristics of fractures formed through the wellbore into a formation surrounding the wellbore during the hydraulic fracture completion with respect to surface variables of the hydraulic fracturing completion, selecting one or more subsurface objective functions from a plurality of subsurface objective functions for changing one or more of the formation characteristics of the fractures, and applying the fracture formation model based on the diagnostics data to determine values of the surface variables for controlling the formation characteristics of the fractures to converge on the one or more subsurface objective functions.

公开(公告)号：US12061980B2

公开(公告)日：2024-08-13

申请号：US16642452

申请日：2017-12-26

Applicant: Landmark Graphics Corporation

Inventor： Andrey Filippov ,  Jianxin Lu ,  Avinash Wesley ,  Keshava P. Rangarajan ,  Srinath Madasu

IPC: G06N3/08 ,  G06F30/23 ,  G06F30/27 ,  G06F30/28 ,  G06F113/08 ,  G06T17/20

CPC classification number: G06N3/08 ,  G06F30/23 ,  G06F30/27 ,  G06F30/28 ,  G06T17/20 ,  G06F2113/08

Abstract: System and methods for training neural network models for real-time flow simulations are provided. Input data is acquired. The input data includes values for a plurality of input parameters associated with a multiphase fluid flow. The multiphase fluid flow is simulated using a complex fluid dynamics (CFD) model, based on the acquired input data. The CFD model represents a three-dimensional (3D) domain for the simulation. An area of interest is selected within the 3D domain represented by the CFD model. A two-dimensional (2D) mesh of the selected area of interest is generated. The 2D mesh represents results of the simulation for the selected area of interest. A neural network is then trained based on the simulation results represented by the generated 2D mesh.

公开(公告)号：US20240202399A1

公开(公告)日：2024-06-20

申请号：US18555176

申请日：2021-12-28

Applicant: CANSEMI TECHNOLOGY INC.

Inventor： Ruijing HAN ,  Hui ZENG

IPC: G06F30/20 ,  G06F113/08 ,  G06F113/18 ,  H01L21/306

CPC classification number: G06F30/20 ,  H01L21/30604 ,  G06F2113/08 ,  G06F2113/18

Abstract: A method of modeling a wet etching process and a method of manufacturing a semiconductor device are disclosed. The modeling method includes: establishing partial differential equations of a reaction-diffusion system for chemical reactions involved in the wet etching process which is performed on a wafer surface using a mixed acid solution; obtaining formulas for the chemical reaction functions by applying the Brusselator model thereto; linearizing and expanding the formulas for the chemical reaction functions and thereby determining conditions for developing a chemical clock for the chemical reactions; calculating simulation parameters of the formulas for the chemical reaction functions; determining diffusion coefficients in the spatial diffusion terms, which allow formation of dome-shaped micro-cavities, thereby obtaining a mathematical model of the reaction-diffusion system for the chemical reactions involved in the wet etching process on the wafer surface. With the present invention, an optimal mixture ratio of the mixed acid solution can be rapidly and accurately determined, which enables formation of morphologically optimal dome-shaped micro-cavities on the wafer surface as a result of the etching process and hence improved performance of the semiconductor device being fabricated.

公开(公告)号：US20240175340A1

公开(公告)日：2024-05-30

申请号：US18226472

申请日：2023-07-26

Applicant: CHINA UNIVERSITY OF PETROLEUM (EAST CHINA)

Inventor： Sen WANG ,  Kun WANG ,  Qihong FENG ,  Shunming LI ,  Yijing DU ,  Zheng WU ,  Xiang WANG ,  Jiyuan ZHANG ,  Xianmin ZHANG

IPC: E21B43/16 ,  G01N15/08 ,  G06F30/28

CPC classification number: E21B43/162 ,  G01N15/0826 ,  G06F30/28 ,  G06F2113/08

Abstract: The present disclosure relates to a method and system for predicting a time-varying principle of waterflooding oil reservoir formation parameters. Firstly, a T2 spectrum-pore size relation model is built according to a measured pore size distribution curve and a measured T2 spectrum. A T2 spectrum of a rock sample at different water injection amounts during a waterflooding physical simulation experiment is acquired. The acquired T2 spectrum at different water injection amounts is then converted into a pore size distribution at different water injection amounts, and a pore network model at different water injection amounts is built with the pore size distribution. Oil-water two-phase flow simulation is performed, and a corresponding oil-water two-phase relative permeability curve of the rock sample at different pore volume (PV) multiples is obtained eventually. The oil-water two-phase relative permeability curve is the formation parameters in the waterflooding oil reservoir.

公开(公告)号：US11988794B2

公开(公告)日：2024-05-21

申请号：US17039012

申请日：2020-09-30

Applicant: Saudi Arabian Oil Company

Inventor： Kenneth Richard Kibodeaux ,  HuiHai Liu

IPC: G01V20/00 ,  G01N11/00 ,  G01N15/08 ,  G06F30/20 ,  G06F111/10 ,  G06F113/08

CPC classification number: G01V20/00 ,  G01N11/00 ,  G01N15/088 ,  G06F30/20 ,  G06F2111/10 ,  G06F2113/08

Abstract: Systems and methods include a method for using reservoir simulations. Permeabilities are measured from a rock sample at different pressures using single-component gas and bulk gas viscosity values. The rock sample is representative of rock used in a reservoir simulation. For each gas component of reservoir gas, porosities are determined, including determining mean free paths for a range of temperatures and pressures encompassing conditions for both reservoir simulation input and the measured permeabilities. A characteristic pore radius for the rock is determined using the measured permeabilities and the determined porosities. Viscosity adjustment factors for a predefined range of temperatures and pressures are determined using the measured permeabilities. Adjusted gas viscosities for the predefined range of temperatures and pressures and the measured permeabilities are determined using the viscosity adjustment factors. The reservoir simulator is executed using the adjusted gas viscosities.

公开(公告)号：US11972183B2

公开(公告)日：2024-04-30

申请号：US17979493

申请日：2022-11-02

Applicant: Xecta Intelligent Production Services

Inventor： Sathish Sankaran ,  Diego Molinari ,  Wenyue Sun ,  Sanjay Paranji

IPC: E21B41/00 ,  E21B47/003 ,  E21B47/06 ,  E21B49/08 ,  G06F30/28 ,  E21B43/12 ,  E21B43/267 ,  G06F113/08

CPC classification number: G06F30/28 ,  E21B41/00 ,  E21B47/003 ,  E21B47/06 ,  E21B49/0875 ,  E21B43/121 ,  E21B43/267 ,  E21B2200/20 ,  G06F2113/08

Abstract: Fluid flow dynamics modeling methods and system are provided. In some embodiments, such methods include determining a bottomhole pressure for the unconventional reservoir based, at least in part, on a tubing head pressure for one or more wells penetrating at least a portion of the unconventional reservoir, one or more fluid properties of a fluid in the unconventional reservoir, and a well production volume for the one or more wells; determining a Productivity Index (PI) for the unconventional reservoir, based, at least in part, on the one or more fluid properties and measured well data for the one or more wells, wherein the measured well data includes a well production rate and a well flowing pressure; and determining a fluid depletion of the unconventional reservoir based, at least in part, on the bottomhole pressure and the PI.

公开(公告)号：US20240086600A1

公开(公告)日：2024-03-14

申请号：US18484014

申请日：2023-10-10

Applicant: Schlumberger Technology Corporation

Inventor： Kurt Andreas George Schmidt ,  Bibek Bhattacharya ,  Guillaume Rannou

IPC: G06F30/28 ,  E21B49/08 ,  G06F8/65 ,  G06F30/20

CPC classification number: G06F30/28 ,  E21B49/087 ,  G06F8/65 ,  G06F30/20 ,  G06F2113/08

Abstract: A global fluid identity repository is used to maintain and manage fluid characterization data for various fluids utilized in the oil & gas industry, e.g., reservoir fluids within subsurface formations. Tracking and notification services may be utilized to track changes made to a global fluid identity, e.g., changes in fluid sample and/or experiment data for a fluid, and automatically generate notifications when downstream data such as fluid models and/or simulation results become stale as a result of these changes.

公开(公告)号：US11927094B2

公开(公告)日：2024-03-12

申请号：US17551164

申请日：2021-12-14

Applicant: Southwest Petroleum University

Inventor： Jian Xiong ,  Xiangjun Liu ,  Lixi Liang ,  Yi Ding ,  Linlin Huang ,  Lianlang Hou ,  Shiqiong Liu ,  Hongqi Liu

IPC: E21B49/00 ,  G01V99/00 ,  G06F30/28 ,  E21B43/26 ,  G06F113/08

CPC classification number: E21B49/00 ,  G01V99/00 ,  G06F30/28 ,  E21B43/26 ,  E21B2200/20 ,  G06F2113/08

Abstract: A comprehensive geological-engineering classification evaluation method for low-permeability reservoirs, includes: constructing geological classification evaluation indexes of a reservoir: adopting gray correlation method to obtain main controlling factors of reservoir geology of the low-permeability reservoirs that affects fracturing effects; based on the main controlling factors of the reservoir geology, constructing the geological classification evaluation indexes of low-permeability reservoirs by principal component analysis; constructing engineering classification evaluation indexes of the reservoir: adopting gray correlation method to obtain main controlling factors of geomechanics of the low-permeability reservoirs that affects fracturing effects; based on the main controlling factors of geomechanics, constructing the engineering classification evaluation indexes of low-permeability reservoirs by an analytic hierarchy process; and according to classification limit values of the geological classification evaluation indexes of a reservoir and engineering classification evaluation indexes of a reservoir, achieving classification of reservoir types.

公开(公告)号：US20240070355A1

公开(公告)日：2024-02-29

申请号：US18239220

申请日：2023-08-29

Applicant: UNIVERSITY OF WYOMING

Inventor： Bradley MCCASKILL ,  Mohammad PIRI

IPC: G06F30/28 ,  G06F30/23

CPC classification number: G06F30/28 ,  G06F30/23 ,  G06F2113/08

Abstract: A method and system for pore network characterization by one or more processing units is disclosed. The method may include obtaining an input image of a porous media sample, extracting a representative pore network from the input image by storing a voxel image for one or more pore elements, based on the one or more pore elements, defining a threshold capillary pressure for each of a set of inlet elements of the one or more pore elements; invading the one or more pore elements with a fluid flow configuration, the fluid flow configuration based, as least in part, on the threshold capillary pressure.

公开(公告)号：US11899162B2

公开(公告)日：2024-02-13

申请号：US17019921

申请日：2020-09-14

Applicant: SAUDI ARABIAN OIL COMPANY

Inventor： Paul Crumpton ,  Michel Cancelliere

IPC: G01V99/00 ,  G06F30/20 ,  E21B49/00 ,  G01F1/00 ,  G06F113/08 ,  G06F111/10 ,  E21B47/07 ,  E21B47/06 ,  E21B43/00

CPC classification number: G01V99/005 ,  E21B49/00 ,  G01F1/00 ,  G06F30/20 ,  E21B43/00 ,  E21B47/06 ,  E21B47/07 ,  E21B2200/20 ,  G01V2210/663 ,  G06F2111/10 ,  G06F2113/08

Abstract: A method may include obtaining a selection of various user-defined coarsening parameters. The user-defined coarsening parameters may include a predetermined fine-grid region in a geological region of interest and a predetermined cell distance. The method may further include determining an area of interest (AOI) mask for the geological region of interest based on the predetermined fine-grid region. The method may further include determining a geological property mask based on the user-defined coarsening parameters. The geological property mask may correspond to a predetermined geological feature within the predetermined cell distance from the AOI mask. The method may further include generating a coarsened grid model using grid model data and well data for the geological region of interest. The method may further include performing a reservoir simulation of the geological region of interest using the coarsened grid model.