JP6006799B2 - 最小二乗サポートベクターマシンを用いた貯留層特性予測 - Google Patents
最小二乗サポートベクターマシンを用いた貯留層特性予測 Download PDFInfo
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- JP6006799B2 JP6006799B2 JP2014533595A JP2014533595A JP6006799B2 JP 6006799 B2 JP6006799 B2 JP 6006799B2 JP 2014533595 A JP2014533595 A JP 2014533595A JP 2014533595 A JP2014533595 A JP 2014533595A JP 6006799 B2 JP6006799 B2 JP 6006799B2
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- 238000012843 least square support vector machine Methods 0.000 title 1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/282—Application of seismic models, synthetic seismograms
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/30—Analysis
- G01V1/306—Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V99/00—Subject matter not provided for in other groups of this subclass
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- General Life Sciences & Earth Sciences (AREA)
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- Geophysics (AREA)
- Acoustics & Sound (AREA)
- Environmental & Geological Engineering (AREA)
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201161540263P | 2011-09-28 | 2011-09-28 | |
| US61/540,263 | 2011-09-28 | ||
| PCT/US2012/055711 WO2013048798A2 (en) | 2011-09-28 | 2012-09-17 | Reservoir properties prediction with least square support vector machine |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2014535044A JP2014535044A (ja) | 2014-12-25 |
| JP2014535044A5 JP2014535044A5 (enExample) | 2015-10-15 |
| JP6006799B2 true JP6006799B2 (ja) | 2016-10-12 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2014533595A Expired - Fee Related JP6006799B2 (ja) | 2011-09-28 | 2012-09-17 | 最小二乗サポートベクターマシンを用いた貯留層特性予測 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US9128203B2 (enExample) |
| EP (1) | EP2761331B1 (enExample) |
| JP (1) | JP6006799B2 (enExample) |
| CA (1) | CA2847864C (enExample) |
| WO (1) | WO2013048798A2 (enExample) |
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| MY162927A (en) | 2010-05-28 | 2017-07-31 | Exxonmobil Upstream Res Co | Method for seismic hydrocarbon system anylysis |
| US9529115B2 (en) | 2012-12-20 | 2016-12-27 | Exxonmobil Upstream Research Company | Geophysical modeling of subsurface volumes based on horizon extraction |
| US9915742B2 (en) | 2012-12-20 | 2018-03-13 | Exxonmobil Upstream Research Company | Method and system for geophysical modeling of subsurface volumes based on label propagation |
| US10234583B2 (en) | 2012-12-20 | 2019-03-19 | Exxonmobil Upstream Research Company | Vector based geophysical modeling of subsurface volumes |
| WO2014099204A1 (en) | 2012-12-20 | 2014-06-26 | Exxonmobil Upstream Research Company | Method and system for geophysical modeling of subsurface volumes based on computed vectors |
| RU2015143556A (ru) * | 2013-05-24 | 2017-06-29 | Хэллибертон Энерджи Сервисиз, Инк. | Способы и системы сопоставления истории месторождений для улучшенной оценки продуктивности месторождений |
| CN103595568B (zh) * | 2013-11-17 | 2016-08-17 | 吉林大学 | 一种基于ls-svm的互联网实时信号传输方法 |
| CN105467449B (zh) * | 2014-09-04 | 2018-01-05 | 中国石油化工股份有限公司 | 基于地震分级敏感属性融合的深层薄互储层定量表征方法 |
| WO2016118223A1 (en) | 2015-01-22 | 2016-07-28 | Exxonmobil Upstream Research Company | Adaptive structure-oriented operator |
| JP6460523B2 (ja) * | 2015-01-22 | 2019-01-30 | 株式会社セオコンプ | 地下構造探査システム及び地下構造探査方法 |
| WO2016171778A1 (en) | 2015-04-24 | 2016-10-27 | Exxonmobil Upstream Research Company | Seismic stratigraphic surface classification |
| US10781686B2 (en) | 2016-06-27 | 2020-09-22 | Schlumberger Technology Corporation | Prediction of fluid composition and/or phase behavior |
| CN107783183B (zh) * | 2016-08-31 | 2019-10-29 | 中国石油化工股份有限公司 | 深度域地震波阻抗反演方法及系统 |
| US11320565B2 (en) * | 2016-10-13 | 2022-05-03 | Schlumberger Technology Corporation | Petrophysical field evaluation using self-organized map |
| US11694095B2 (en) | 2017-05-08 | 2023-07-04 | Schlumberger Technology Corporation | Integrating geoscience data to predict formation properties |
| CN107526117B (zh) * | 2017-07-06 | 2019-08-13 | 天津科技大学 | 基于自动编码和超限学习联合网络的声波速度预测方法 |
| WO2019017962A1 (en) * | 2017-07-21 | 2019-01-24 | Landmark Graphics Corporation | TANK MODELING BASED ON DEEP LEARNING |
| US10990882B2 (en) * | 2017-07-28 | 2021-04-27 | International Business Machines Corporation | Stratigraphic layer identification from seismic and well data with stratigraphic knowledge base |
| JP6945917B2 (ja) * | 2017-12-22 | 2021-10-06 | 株式会社奥村組 | トンネル切羽前方探査方法 |
| GB2570330B (en) * | 2018-01-22 | 2020-02-26 | Equinor Energy As | Regularization of non-linear inversions of geophysical data |
| US20210047910A1 (en) * | 2018-05-09 | 2021-02-18 | Landmark Graphics Corporation | Learning based bayesian optimization for optimizing controllable drilling parameters |
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| CN109492812A (zh) * | 2018-11-12 | 2019-03-19 | 北京航天智造科技发展有限公司 | 基于支持向量机、属性约简和遗传算法的物流货运需求预测方法 |
| RU2692100C1 (ru) * | 2018-12-03 | 2019-06-21 | Компания "Сахалин Энерджи Инвестмент Компани Лтд." | Способ определения коллекторских свойств тонкослоистых пластов |
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| CN109902390B (zh) * | 2018-12-13 | 2023-10-24 | 中国石油大学(华东) | 一种基于小样本扩充的有利储层发育区预测方法 |
| US12437231B2 (en) | 2019-02-05 | 2025-10-07 | Schlumberger Technology Corporation | Differential multi model training for multiple interpretation options |
| WO2020172019A1 (en) * | 2019-02-20 | 2020-08-27 | Saudi Arabian Oil Company | Method for fast calculation of seismic attributes using artificial intelligence |
| US10908308B1 (en) * | 2019-07-25 | 2021-02-02 | Chevron U.S.A. Inc. | System and method for building reservoir property models |
| CN112346116B (zh) * | 2019-08-09 | 2024-10-29 | 中国石油天然气集团有限公司 | 储层预测方法及装置 |
| CN112346118B (zh) * | 2019-08-09 | 2024-10-29 | 中国石油天然气集团有限公司 | 基于地震属性优选的储层特征预测方法及装置 |
| US12189075B2 (en) | 2019-08-26 | 2025-01-07 | Landmark Graphics Corporation | Building scalable geological property models using machine learning algorithms |
| CN112444860A (zh) * | 2019-08-27 | 2021-03-05 | 中国石油化工股份有限公司 | 一种基于支持矢量机算法的地震相分析方法 |
| CN112446391B (zh) * | 2019-08-28 | 2024-11-01 | 辽宁省交通高等专科学校 | 基于最小二乘支持向量机的太阳高度角预测方法 |
| CN112580673B (zh) * | 2019-09-27 | 2024-04-12 | 中国石油化工股份有限公司 | 基于空间概率分布的地震储层样本扩展方法和装置 |
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| CN119716997B (zh) * | 2023-09-27 | 2025-10-28 | 中国石油天然气股份有限公司 | 基于正演模拟的多属性融合预测储层厚度的方法及装置 |
| CN117452518B (zh) * | 2023-12-22 | 2024-03-19 | 中国石油大学(华东) | 基于多学科数据融合聚类算法的储层岩性预测方法 |
| CN117909933B (zh) * | 2024-01-23 | 2024-12-10 | 西南石油大学 | 一种基于支持向量机回归模型的岩石可钻性预测方法 |
| CN119126220B (zh) * | 2024-08-02 | 2025-10-10 | 中海石油(中国)有限公司海南分公司 | 一种基于动态递进搜索算法的地震砂体预测方法 |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2526576A1 (en) | 2003-05-22 | 2004-12-02 | Schlumberger Canada Limited | Method for prospect identification in asset evaluation |
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2012
- 2012-09-14 US US13/618,327 patent/US9128203B2/en active Active
- 2012-09-17 EP EP12777960.1A patent/EP2761331B1/en not_active Not-in-force
- 2012-09-17 JP JP2014533595A patent/JP6006799B2/ja not_active Expired - Fee Related
- 2012-09-17 WO PCT/US2012/055711 patent/WO2013048798A2/en not_active Ceased
- 2012-09-17 CA CA2847864A patent/CA2847864C/en not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| EP2761331B1 (en) | 2018-10-24 |
| WO2013048798A3 (en) | 2013-10-10 |
| US20130080066A1 (en) | 2013-03-28 |
| WO2013048798A2 (en) | 2013-04-04 |
| CA2847864A1 (en) | 2013-04-04 |
| EP2761331A2 (en) | 2014-08-06 |
| JP2014535044A (ja) | 2014-12-25 |
| CA2847864C (en) | 2016-11-01 |
| US9128203B2 (en) | 2015-09-08 |
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