公开(公告)号：US11598711B2

公开(公告)日：2023-03-07

申请号：US17143583

申请日：2021-01-07

Applicant: ARAMCO SERVICES COMPANY

Inventor： Hui-Hai Liu ,  Jilin Zhang ,  Jewel Duncan

IPC: G01N15/08 ,  G01N33/24

Abstract: A method for determining stress-dependent permeability includes providing a core sample in a pressurized core container of a testing apparatus and generating a steady-state flow of gas from an upstream reservoir in the testing apparatus along an axial direction through the pressurized core container into a downstream reservoir in the testing apparatus. During the steady-state flow, an inlet pressure at an inlet to the core sample, an outlet pressure at an outlet of the core sample, and a midpoint pressure at a midpoint of the core sample are measured. The stress-dependent permeability is calculated from a flow rate of the gas through the core sample and the measurements of the inlet pressure, the outlet pressure, and the midpoint pressure.

公开(公告)号：US20240393223A1

公开(公告)日：2024-11-28

申请号：US18324857

申请日：2023-05-26

Applicant: ARAMCO SERVICES COMPANY

Inventor： Hui-Hai Liu ,  Jilin Zhang ,  Mohammed Boudjatit ,  Gary Eppler

IPC: G01N15/08 ,  E21B25/00 ,  G01N1/08 ,  G01N33/24

Abstract: Methods and systems are disclosed. The methods may include determining a first sequence of permeabilities by subjecting a rock sample to a first sequence of confining stress, axial stress, pore pressure (CSASPP) triplets and determining a first rock parameter using the first sequence of permeabilities, the first sequence of CSASPP triplets, and a first permeability model. The methods may further include determining a second sequence of permeabilities by subjecting the rock sample to a second sequence of CSASPP triplets and determining a second rock parameter using the second sequence of permeabilities, the second sequence of CSASPP triplets, and the first permeability model. The method may still further include determining an in situ permeability for an in situ rock based on an initial permeability, a second stress sensitivity parameter, a first stress sensitivity parameter, a confining stress value, axial stress values, a pore pressure value, and a second permeability model.

公开(公告)号：US20220214262A1

公开(公告)日：2022-07-07

申请号：US17143583

申请日：2021-01-07

Applicant: ARAMCO SERVICES COMPANY

Inventor： Hui-Hai Liu ,  Jilin Zhang ,  Jewel Duncan

IPC: G01N15/08 ,  G01N33/24

Abstract: A method for determining stress-dependent permeability includes providing a core sample in a pressurized core container of a testing apparatus and generating a steady-state flow of gas from an upstream reservoir in the testing apparatus along an axial direction through the pressurized core container into a downstream reservoir in the testing apparatus. During the steady-state flow, an inlet pressure at an inlet to the core sample, an outlet pressure at an outlet of the core sample, and a midpoint pressure at a midpoint of the core sample are measured. The stress-dependent permeability is calculated from a flow rate of the gas through the core sample and the measurements of the inlet pressure, the outlet pressure, and the midpoint pressure.

公开(公告)号：US20220220839A1

公开(公告)日：2022-07-14

申请号：US17144677

申请日：2021-01-08

Applicant: ARAMCO SERVICES COMPANY

Inventor： Hui-Hai Liu ,  Jilin Zhang ,  Huseyin Onur Balan ,  Feng Liang

IPC: E21B47/003 ,  E21B43/26

Abstract: A method for determining SRV and EUR includes: monitoring an amount and a density of a hydrocarbon fluid produced from the production well; obtaining a cumulative amount of the fluid that has accumulated from a beginning of production; obtaining a relationship between the cumulative amount and a square root of the time; determining a deviation point where the relationship changes from linear to non-linear; determining a deviation amount of the fluid corresponding to the deviation point; determining a first density of the hydrocarbon fluid at the beginning of production, a second density at a pore pressure equal to a bottom hole pressure in the production well, a first porosity at the beginning of production, and a second porosity for a pore pressure equal to the bottom hole pressure; and determining SRV and the EUR based on the deviation amount, the first and second densities, and the first and second porosities.

公开(公告)号：US11702924B2

公开(公告)日：2023-07-18

申请号：US17144677

申请日：2021-01-08

Applicant: ARAMCO SERVICES COMPANY

Inventor： Hui-Hai Liu ,  Jilin Zhang ,  Huseyin Onur Balan ,  Feng Liang

IPC: E21B43/26 ,  E21B47/003

CPC classification number: E21B47/003 ,  E21B43/26 ,  E21B2200/20

Abstract: A method for determining SRV and EUR includes: monitoring an amount and a density of a hydrocarbon fluid produced from the production well; obtaining a cumulative amount of the fluid that has accumulated from a beginning of production; obtaining a relationship between the cumulative amount and a square root of the time; determining a deviation point where the relationship changes from linear to non-linear; determining a deviation amount of the fluid corresponding to the deviation point; determining a first density of the hydrocarbon fluid at the beginning of production, a second density at a pore pressure equal to a bottom hole pressure in the production well, a first porosity at the beginning of production, and a second porosity for a pore pressure equal to the bottom hole pressure; and determining SRV and the EUR based on the deviation amount, the first and second densities, and the first and second porosities.

公开(公告)号：US20230196089A1

公开(公告)日：2023-06-22

申请号：US17556549

申请日：2021-12-20

Applicant: ARAMCO SERVICES COMPANY

Inventor： Hui-Hai Liu ,  Jilin Zhang ,  Feng Liang

IPC: G06N3/08 ,  G06N3/04 ,  E21B49/00 ,  E21B41/00

CPC classification number: G06N3/08 ,  G06N3/0454 ,  E21B49/00 ,  E21B41/00 ,  E21B2200/20 ,  E21B2200/22

Abstract: A method for predicting well production is disclosed. The method includes obtaining a training data set for a machine learning (ML) model that generates predicted well production data based on observed data of interest, generating multiple sets of initial guesses of model parameters of the ML model, using an ML algorithm applied to the training data set to generate multiple individually trained ML models based the multiple sets of initial model parameters, comparing a validation data set and respective predicted well production data of the individually trained ML models to generate a ranking, selecting top-ranked individually trained ML models based on the ranking, using the data of interest as input to the top-ranked individually trained ML models to generate a set of individual predicted well production data, and generating a final predicted well production data based on the set of individual predicted well production data.

公开(公告)号：US20240403775A1

公开(公告)日：2024-12-05

申请号：US18325777

申请日：2023-05-30

Applicant: ARAMCO SERVICES COMPANY

Inventor： Jilin Zhang ,  Hui-Hai Liu ,  Feng Liang ,  Moemen Abdelrahman

IPC: G06Q10/0637 ,  G06Q50/02

Abstract: A method and a system for predicting well production of a reservoir using machine learning models and algorithms is disclosed. The method includes obtaining a training data set for training a machine learning (ML) model and selecting an artificial neural network model structure, the model structure including a number of layers and a number of nodes of each layer. Further, the method includes generating a plurality of individually trained ML models and calculating a model performance of each trained model by evaluating a difference between a model prediction and a well performance data. The plurality of top-ranked individually trained ML models is constrained using one or multiple known physical rules. A plurality of individual predicted well production data is generated using the geological, the completion, and the petrophysical data of interest and a final predicted well production data is generating based on the plurality of individual predicted well production data.