SG11202100164RA - Detecting fluid types using petrophysical inversion - Google Patents
Detecting fluid types using petrophysical inversionInfo
- Publication number
- SG11202100164RA SG11202100164RA SG11202100164RA SG11202100164RA SG11202100164RA SG 11202100164R A SG11202100164R A SG 11202100164RA SG 11202100164R A SG11202100164R A SG 11202100164RA SG 11202100164R A SG11202100164R A SG 11202100164RA SG 11202100164R A SG11202100164R A SG 11202100164RA
- Authority
- SG
- Singapore
- Prior art keywords
- detecting fluid
- fluid types
- petrophysical inversion
- petrophysical
- inversion
- Prior art date
Links
- 239000012530 fluid Substances 0.000 title 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
-
- G01V20/00—
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B41/00—Equipment or details not covered by groups E21B15/00 - E21B40/00
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
-
- 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. analysis, for interpretation, for correction
- 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. analysis, for interpretation, for correction
- 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
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/61—Analysis by combining or comparing a seismic data set with other data
- G01V2210/616—Data from specific type of measurement
- G01V2210/6163—Electromagnetic
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/62—Physical property of subsurface
- G01V2210/624—Reservoir parameters
- G01V2210/6244—Porosity
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/64—Geostructures, e.g. in 3D data cubes
- G01V2210/645—Fluid contacts
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/66—Subsurface modeling
- G01V2210/663—Modeling production-induced effects
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/66—Subsurface modeling
- G01V2210/667—Determining confidence or uncertainty in parameters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- Mining & Mineral Resources (AREA)
- General Physics & Mathematics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- Remote Sensing (AREA)
- Theoretical Computer Science (AREA)
- Geochemistry & Mineralogy (AREA)
- Geophysics (AREA)
- General Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Mathematical Optimization (AREA)
- Algebra (AREA)
- Mathematical Physics (AREA)
- Pure & Applied Mathematics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- Mathematical Analysis (AREA)
- Computing Systems (AREA)
- Geophysics And Detection Of Objects (AREA)
- Operations Research (AREA)
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201862712780P | 2018-07-31 | 2018-07-31 | |
US201962871479P | 2019-07-08 | 2019-07-08 | |
PCT/US2019/042246 WO2020028044A1 (fr) | 2018-07-31 | 2019-07-17 | Détection de types de fluide par inversion pétrophysique |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11202100164RA true SG11202100164RA (en) | 2021-02-25 |
Family
ID=67515139
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202012669VA SG11202012669VA (en) | 2018-07-31 | 2019-07-17 | Fluid saturation model for petrophysical inversion |
SG11202100164RA SG11202100164RA (en) | 2018-07-31 | 2019-07-17 | Detecting fluid types using petrophysical inversion |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202012669VA SG11202012669VA (en) | 2018-07-31 | 2019-07-17 | Fluid saturation model for petrophysical inversion |
Country Status (6)
Country | Link |
---|---|
US (2) | US11480698B2 (fr) |
EP (2) | EP3830611B1 (fr) |
AU (4) | AU2019314182A1 (fr) |
CA (2) | CA3108121A1 (fr) |
SG (2) | SG11202012669VA (fr) |
WO (2) | WO2020028046A1 (fr) |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11105944B2 (en) * | 2019-04-30 | 2021-08-31 | Chevron U.S.A. Inc. | System and method for lateral statistical estimation of rock and fluid properties in a subsurface formation |
KR20210065429A (ko) * | 2019-11-27 | 2021-06-04 | 삼성전자주식회사 | 외장형 스토리지 장치 및 외장형 스토리지 장치의 동작 방법 |
US11913865B2 (en) * | 2020-01-08 | 2024-02-27 | Khalifa University of Science and Technology | In-situ prediction and dynamic visualization of relative permeability and capillary pressure in porous medium |
US20210262329A1 (en) * | 2020-02-20 | 2021-08-26 | Exxonmobil Upstream Research Company | Method for Generating Initial Models For Least Squares Migration Using Deep Neural Networks |
CN111522063B (zh) * | 2020-04-30 | 2022-04-12 | 湖南科技大学 | 基于分频联合反演的叠前高分辨率流体因子反演方法 |
CN114563821A (zh) * | 2020-11-27 | 2022-05-31 | 中国石油天然气股份有限公司 | 智能地震波阻抗反演标签数据制作方法及装置 |
WO2022245555A1 (fr) | 2021-05-21 | 2022-11-24 | Exxonmobil Upstream Research Company | Procédé et système pour l'intégration contrainte de données de physique de roche de propriétés fwi élastiques et de piles sismiques |
Family Cites Families (24)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5848379A (en) | 1997-07-11 | 1998-12-08 | Exxon Production Research Company | Method for characterizing subsurface petrophysical properties using linear shape attributes |
US7526413B2 (en) | 2001-01-31 | 2009-04-28 | Exxonmobil Upstream Research Company | Volumetric laminated sand analysis |
WO2004095072A2 (fr) | 2003-03-27 | 2004-11-04 | Exxonmobil Upstream Research Company | Procede pour convertir les traces sismiques en diagrammes de proprietes petrophysiques |
CA2580570C (fr) | 2004-12-06 | 2014-03-11 | Exxonmobil Upstream Research Company | Modele integre anisotropique de physique des roches |
EA026356B1 (ru) * | 2008-05-22 | 2017-03-31 | Эксонмобил Апстрим Рисерч Компани | Способ (варианты) и машиночитаемый носитель для сейсмического исследования глубинной зоны |
CA2747426C (fr) | 2009-01-09 | 2017-05-23 | Exxonmobil Upstream Research Company | Detection d'hydrocarbure au moyen de donnees sismiques passives |
US8498853B2 (en) | 2009-07-20 | 2013-07-30 | Exxonmobil Upstream Research Company | Petrophysical method for predicting plastic mechanical properties in rock formations |
US8219319B2 (en) * | 2009-12-18 | 2012-07-10 | Chevron U.S.A. Inc. | Workflow for petrophysical and geophysical formation evaluation of wireline and LWD log data |
CA2783787A1 (fr) | 2010-02-12 | 2011-08-18 | Exxonmobil Upstream Research Company | Procede et systeme de creation de modeles de simulation mis en correspondance avec un historique |
WO2011112294A1 (fr) * | 2010-03-11 | 2011-09-15 | Exxonmobil Upstream Research Company | Prédiction des propriétés anisotropes de la roche mère à partir des données de puits |
FR2969206B1 (fr) * | 2010-12-15 | 2013-11-01 | IFP Energies Nouvelles | Procede d'exploitation d'un gisement petrolier a partir d'un modele d'ecoulement cale au moyen d'une mise a l'echelle de cartes de pression et de saturation |
US8983141B2 (en) | 2011-03-17 | 2015-03-17 | Exxonmobile Upstream Research Company | Geophysical data texture segmentation using double-windowed clustering analysis |
US9453929B2 (en) | 2011-06-02 | 2016-09-27 | Exxonmobil Upstream Research Company | Joint inversion with unknown lithology |
WO2012173718A1 (fr) | 2011-06-17 | 2012-12-20 | Exxonmobil Upstream Research Company | Gel de domaine dans une inversion conjointe |
WO2013012470A1 (fr) | 2011-07-21 | 2013-01-24 | Exxonmobil Upstream Research Company | Pondération adaptative de types de données géophysiques dans une inversion conjointe |
US10473817B2 (en) * | 2012-04-24 | 2019-11-12 | Statoil Petroleum As | Processing data representing a physical system |
CA2892995A1 (fr) | 2012-05-24 | 2013-11-28 | Exxonmobil Upstream Research Company | Systeme et methode de prediction de la resistance d'une roche |
US20150362623A1 (en) * | 2014-06-12 | 2015-12-17 | Westerngeco, Llc | Joint inversion of attributes |
CN105487122B (zh) * | 2014-09-18 | 2018-03-09 | 中国石油化工股份有限公司 | 用于确定储层流体识别因子的敏感性的方法及系统 |
US20170212275A1 (en) * | 2016-01-22 | 2017-07-27 | Chevron U.S.A. Inc. | System and method for modeling the effects of fluid changes in low porosity hydrocarbon reservoirs |
US10768324B2 (en) | 2016-05-19 | 2020-09-08 | Exxonmobil Upstream Research Company | Method to predict pore pressure and seal integrity using full wavefield inversion |
CA3043310C (fr) | 2016-12-02 | 2022-07-26 | Ratnanabha SAIN | Procede d'estimation de proprietes petrophysiques pour des scenarios simples ou multiples a partir de plusieurs produits d'inversion de champ d'onde sismique et de champ d'onde co mplet spectralement variables |
US10996372B2 (en) | 2017-08-25 | 2021-05-04 | Exxonmobil Upstream Research Company | Geophysical inversion with convolutional neural networks |
US11112515B2 (en) * | 2018-03-30 | 2021-09-07 | Bp Corporation North America Inc. | Seismic velocity derived hydrocarbon indication |
-
2019
- 2019-07-17 SG SG11202012669VA patent/SG11202012669VA/en unknown
- 2019-07-17 AU AU2019314182A patent/AU2019314182A1/en not_active Abandoned
- 2019-07-17 US US16/514,716 patent/US11480698B2/en active Active
- 2019-07-17 CA CA3108121A patent/CA3108121A1/fr active Pending
- 2019-07-17 US US16/514,670 patent/US20200041692A1/en active Pending
- 2019-07-17 WO PCT/US2019/042251 patent/WO2020028046A1/fr unknown
- 2019-07-17 WO PCT/US2019/042246 patent/WO2020028044A1/fr unknown
- 2019-07-17 EP EP19749065.9A patent/EP3830611B1/fr active Active
- 2019-07-17 AU AU2019315814A patent/AU2019315814A1/en not_active Abandoned
- 2019-07-17 CA CA3107882A patent/CA3107882A1/fr active Pending
- 2019-07-17 EP EP19749068.3A patent/EP3830612B1/fr active Active
- 2019-07-17 SG SG11202100164RA patent/SG11202100164RA/en unknown
-
2022
- 2022-12-09 AU AU2022283783A patent/AU2022283783B2/en active Active
-
2023
- 2023-01-20 AU AU2023200300A patent/AU2023200300A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
EP3830611A1 (fr) | 2021-06-09 |
US11480698B2 (en) | 2022-10-25 |
CA3108121A1 (fr) | 2020-02-06 |
EP3830611B1 (fr) | 2024-05-15 |
EP3830612A1 (fr) | 2021-06-09 |
AU2019315814A1 (en) | 2021-01-21 |
AU2022283783B2 (en) | 2024-04-04 |
AU2023200300A1 (en) | 2023-02-23 |
US20200041692A1 (en) | 2020-02-06 |
EP3830612B1 (fr) | 2024-03-20 |
CA3107882A1 (fr) | 2020-02-06 |
SG11202012669VA (en) | 2021-02-25 |
AU2019314182A1 (en) | 2021-02-25 |
US20200040709A1 (en) | 2020-02-06 |
WO2020028046A1 (fr) | 2020-02-06 |
WO2020028044A1 (fr) | 2020-02-06 |
AU2022283783A1 (en) | 2023-02-02 |
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