CN111344710A - 使用基于机器学习的模型进行成本有效的热力学流体特性预测的方法 - Google Patents
使用基于机器学习的模型进行成本有效的热力学流体特性预测的方法 Download PDFInfo
- Publication number
- CN111344710A CN111344710A CN201880073266.5A CN201880073266A CN111344710A CN 111344710 A CN111344710 A CN 111344710A CN 201880073266 A CN201880073266 A CN 201880073266A CN 111344710 A CN111344710 A CN 111344710A
- Authority
- CN
- China
- Prior art keywords
- phase
- computer
- machine learning
- learning algorithm
- algorithm
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0499—Feedforward networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/30—Prediction of properties of chemical compounds, compositions or mixtures
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/70—Machine learning, data mining or chemometrics
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Crystallography & Structural Chemistry (AREA)
- Chemical & Material Sciences (AREA)
- Computational Linguistics (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Databases & Information Systems (AREA)
- Algebra (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Pure & Applied Mathematics (AREA)
- Computational Mathematics (AREA)
- Probability & Statistics with Applications (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201762563460P | 2017-09-26 | 2017-09-26 | |
| US62/563,460 | 2017-09-26 | ||
| PCT/US2018/051684 WO2019067282A1 (en) | 2017-09-26 | 2018-09-19 | METHOD FOR PREDICTING ECONOMIC FLUID THERMODYNAMIC PROPERTIES USING MODELS BASED ON AUTOMATIC LEARNING |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111344710A true CN111344710A (zh) | 2020-06-26 |
Family
ID=63794679
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201880073266.5A Pending CN111344710A (zh) | 2017-09-26 | 2018-09-19 | 使用基于机器学习的模型进行成本有效的热力学流体特性预测的方法 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US11449747B2 (https=) |
| EP (1) | EP3688683A1 (https=) |
| JP (1) | JP7229233B2 (https=) |
| CN (1) | CN111344710A (https=) |
| CA (1) | CA3076887A1 (https=) |
| WO (1) | WO2019067282A1 (https=) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112668607A (zh) * | 2020-12-04 | 2021-04-16 | 深圳先进技术研究院 | 一种用于目标物体触觉属性识别的多标签学习方法 |
| CN113539387A (zh) * | 2021-07-09 | 2021-10-22 | 西南石油大学 | 一种基于CPA状态方程预测NaCl水溶液中CO2溶解度的方法 |
| CN115688592A (zh) * | 2022-11-09 | 2023-02-03 | 福建德尔科技股份有限公司 | 用于电子级四氟化碳制备的精馏控制系统及其方法 |
| CN119849340A (zh) * | 2025-03-20 | 2025-04-18 | 中国石油大学(华东) | 一种基于机器学习相识别模型的高效三相闪蒸计算方法 |
Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110096785B (zh) * | 2019-04-25 | 2020-09-01 | 华北电力大学 | 一种应用于超超临界机组的堆叠自编码器建模方法 |
| EP3872038A1 (en) * | 2020-02-27 | 2021-09-01 | Grundfos Holding A/S | Reinforcement learning for h2s abatement |
| CA3175274A1 (en) * | 2020-03-09 | 2021-09-16 | Schlumberger Canada Limited | Fast front tracking in eor flooding simulation on coarse grids |
| CN115087995A (zh) * | 2020-03-31 | 2022-09-20 | Abb瑞士股份有限公司 | 用于工业车间的特定生产过程的迁移学习方法 |
| CN111546035B (zh) * | 2020-04-07 | 2021-07-02 | 大连理工大学 | 一种基于学习与预测的齿轮在线快速装配方法 |
| US11815650B2 (en) | 2020-04-09 | 2023-11-14 | Saudi Arabian Oil Company | Optimization of well-planning process for identifying hydrocarbon reserves using an integrated multi-dimensional geological model |
| US11486230B2 (en) | 2020-04-09 | 2022-11-01 | Saudi Arabian Oil Company | Allocating resources for implementing a well-planning process |
| US11693140B2 (en) | 2020-04-09 | 2023-07-04 | Saudi Arabian Oil Company | Identifying hydrocarbon reserves of a subterranean region using a reservoir earth model that models characteristics of the region |
| AU2021255730B2 (en) * | 2020-04-17 | 2024-08-08 | Chevron U.S.A. Inc. | Compositional reservoir simulation |
| US20210390424A1 (en) * | 2020-06-10 | 2021-12-16 | At&T Intellectual Property I, L.P. | Categorical inference for training a machine learning model |
| CN114139432B (zh) * | 2020-09-04 | 2025-06-27 | 中国石油化工股份有限公司 | 利用神经网络技术的裂缝性油藏co2驱流动模拟方法 |
| WO2022061331A1 (en) * | 2020-09-18 | 2022-03-24 | Schlumberger Technology Corporation | Generalizable machine learning algorithms for flash calculations |
| US12019059B2 (en) * | 2020-10-16 | 2024-06-25 | Saudi Arabian Oil Company | Detecting equipment defects using lubricant analysis |
| CN112632787B (zh) * | 2020-12-25 | 2023-11-28 | 浙江中控技术股份有限公司 | 多解闪蒸优化策略的仿真测试方法 |
| US12271445B2 (en) * | 2022-10-28 | 2025-04-08 | Yahoo Assets Llc | Electronic information extraction using a machine-learned model architecture method and apparatus |
| CN116992296A (zh) * | 2023-09-27 | 2023-11-03 | 广东电网有限责任公司珠海供电局 | 电子敏感设备发生暂降的中断概率评估方法、装置和设备 |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050049990A1 (en) * | 2003-08-29 | 2005-03-03 | Milenova Boriana L. | Support vector machines processing system |
| CN102147807A (zh) * | 2011-03-10 | 2011-08-10 | 南京信息工程大学 | 基于gis的海量雷电数据时空分析方法 |
| CN103781407A (zh) * | 2011-07-05 | 2014-05-07 | 沙特阿拉伯石油公司 | 用于利用虚拟形象来基于监测的健康状况训练雇员的系统、计算机介质和计算机实现方法 |
| CN105160397A (zh) * | 2014-06-06 | 2015-12-16 | 谷歌公司 | 训练精炼的机器学习模型 |
| CN106526708A (zh) * | 2016-09-21 | 2017-03-22 | 广东奥博信息产业有限公司 | 一种基于机器学习的气象强对流天气的智能预警分析方法 |
| CN106537136A (zh) * | 2014-06-30 | 2017-03-22 | 沙特阿拉伯石油公司 | 虚拟多相流计量和砂检测 |
| CN106920544A (zh) * | 2017-03-17 | 2017-07-04 | 深圳市唯特视科技有限公司 | 一种基于深度神经网络特征训练的语音识别方法 |
| US20170193305A1 (en) * | 2014-06-16 | 2017-07-06 | Agt International Gmbh | Flash flooding detection system |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6633857B1 (en) * | 1999-09-04 | 2003-10-14 | Microsoft Corporation | Relevance vector machine |
| FR2848320B1 (fr) * | 2002-12-10 | 2005-01-28 | Inst Francais Du Petrole | Methode pour modeliser des caracteristiques hydrodynamiques d'ecoulements polyphasiques par reseaux de neurones |
| JP2008221146A (ja) * | 2007-03-13 | 2008-09-25 | Sumitomo Chemical Co Ltd | 計算装置、計算方法、計算装置制御プログラム、及び該計算装置制御プログラムを記録したコンピュータ読み取り可能な記録媒体 |
| CA2805446C (en) | 2010-07-29 | 2016-08-16 | Exxonmobil Upstream Research Company | Methods and systems for machine-learning based simulation of flow |
| US10119374B2 (en) | 2012-03-12 | 2018-11-06 | Total Sa | Method for simulating fluid flows, a computer program and a computer readable medium |
| WO2018117890A1 (en) | 2016-12-21 | 2018-06-28 | Schlumberger Technology Corporation | A method and a cognitive system for predicting a hydraulic fracture performance |
-
2018
- 2018-09-19 CA CA3076887A patent/CA3076887A1/en active Pending
- 2018-09-19 EP EP18783247.2A patent/EP3688683A1/en not_active Withdrawn
- 2018-09-19 JP JP2020517468A patent/JP7229233B2/ja active Active
- 2018-09-19 CN CN201880073266.5A patent/CN111344710A/zh active Pending
- 2018-09-19 WO PCT/US2018/051684 patent/WO2019067282A1/en not_active Ceased
- 2018-09-26 US US16/142,757 patent/US11449747B2/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050049990A1 (en) * | 2003-08-29 | 2005-03-03 | Milenova Boriana L. | Support vector machines processing system |
| CN102147807A (zh) * | 2011-03-10 | 2011-08-10 | 南京信息工程大学 | 基于gis的海量雷电数据时空分析方法 |
| CN103781407A (zh) * | 2011-07-05 | 2014-05-07 | 沙特阿拉伯石油公司 | 用于利用虚拟形象来基于监测的健康状况训练雇员的系统、计算机介质和计算机实现方法 |
| CN105160397A (zh) * | 2014-06-06 | 2015-12-16 | 谷歌公司 | 训练精炼的机器学习模型 |
| US20170193305A1 (en) * | 2014-06-16 | 2017-07-06 | Agt International Gmbh | Flash flooding detection system |
| CN106537136A (zh) * | 2014-06-30 | 2017-03-22 | 沙特阿拉伯石油公司 | 虚拟多相流计量和砂检测 |
| CN106526708A (zh) * | 2016-09-21 | 2017-03-22 | 广东奥博信息产业有限公司 | 一种基于机器学习的气象强对流天气的智能预警分析方法 |
| CN106920544A (zh) * | 2017-03-17 | 2017-07-04 | 深圳市唯特视科技有限公司 | 一种基于深度神经网络特征训练的语音识别方法 |
Non-Patent Citations (2)
| Title |
|---|
| VASSILIS GAGANIS: "An integrated approach for rapid phase behavior calculations in compositional modeling", 《JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING》, vol. 118, 3 April 2014 (2014-04-03), pages 74 - 87, XP055528353, DOI: 10.1016/j.petrol.2014.03.011 * |
| 王飞;张义军;赵均壮;吕伟涛;孟青;: "雷达资料在孤立单体雷电预警中的初步应用", 应用气象学报, no. 02, 15 April 2008 (2008-04-15) * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112668607A (zh) * | 2020-12-04 | 2021-04-16 | 深圳先进技术研究院 | 一种用于目标物体触觉属性识别的多标签学习方法 |
| CN113539387A (zh) * | 2021-07-09 | 2021-10-22 | 西南石油大学 | 一种基于CPA状态方程预测NaCl水溶液中CO2溶解度的方法 |
| CN115688592A (zh) * | 2022-11-09 | 2023-02-03 | 福建德尔科技股份有限公司 | 用于电子级四氟化碳制备的精馏控制系统及其方法 |
| CN115688592B (zh) * | 2022-11-09 | 2023-05-09 | 福建德尔科技股份有限公司 | 用于电子级四氟化碳制备的精馏控制系统及其方法 |
| CN119849340A (zh) * | 2025-03-20 | 2025-04-18 | 中国石油大学(华东) | 一种基于机器学习相识别模型的高效三相闪蒸计算方法 |
Also Published As
| Publication number | Publication date |
|---|---|
| US20190095792A1 (en) | 2019-03-28 |
| US11449747B2 (en) | 2022-09-20 |
| WO2019067282A1 (en) | 2019-04-04 |
| EP3688683A1 (en) | 2020-08-05 |
| JP7229233B2 (ja) | 2023-02-27 |
| JP2020537221A (ja) | 2020-12-17 |
| CA3076887A1 (en) | 2019-04-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111344710A (zh) | 使用基于机器学习的模型进行成本有效的热力学流体特性预测的方法 | |
| US11604992B2 (en) | Probabilistic neural network architecture generation | |
| US11080340B2 (en) | Systems and methods for classifying electronic information using advanced active learning techniques | |
| US10163061B2 (en) | Quality-directed adaptive analytic retraining | |
| Wu et al. | Online feature selection with streaming features | |
| US11921768B1 (en) | Iterative theme discovery and refinement in text | |
| CN109313720A (zh) | 具有稀疏访问的外部存储器的增强神经网络 | |
| JP2018503206A (ja) | 大規模非構造化データフィールドにおけるテクニカルおよびセマンティックシグナル処理 | |
| US20190163782A1 (en) | Learning user interests for recommendations in business intelligence interactions | |
| CN114138977B (zh) | 日志处理方法、装置、计算机设备和存储介质 | |
| CN104885101A (zh) | 包括表征选择的不确定度的基于不完备描述对新总体成员的相似成员的自动选择 | |
| Xiao et al. | ATCEM: A synthetic model for evaluating air traffic complexity | |
| Chen et al. | Did the model change? efficiently assessing machine learning api shifts | |
| US20240403605A1 (en) | Multimodal deep learning with boosted trees | |
| WO2023224672A1 (en) | Deep learning system for navigating feedback | |
| Sudhamathy et al. | Analytics using R for predicting credit defaulters | |
| Gasso et al. | Batch and online learning algorithms for nonconvex Neyman-Pearson classification | |
| Zhang et al. | A novel generalised extreme value gradient boosting decision tree for the class imbalanced problem in credit scoring | |
| Ucherek et al. | Auto-Suggestive Real-Time Classification of Driller Memos into Activity Codes Using Natural Language Processing | |
| US20240076977A1 (en) | Predicting hydrocarbon show indicators ahead of drilling bit | |
| Li et al. | CRNN: Integrating classification rules into neural network | |
| Serapião et al. | Knowledge Discovery for Classification of Three‐Phase Vertical Flow Patterns of Heavy Oil from Pressure Drop and Flow Rate Data | |
| Aulia et al. | A new history matching sensitivity analysis framework with random forests and Plackett-Burman design | |
| US20250140354A1 (en) | Model-agnostic evaluation of a generative model in materials discovery processes | |
| US20250037036A1 (en) | Supervised and multivariate continuous attributes discretization |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200626 |
|
| WD01 | Invention patent application deemed withdrawn after publication |